title
stringlengths 13
210
| link
stringlengths 39
321
| snippet
stringlengths 46
163
| text
stringlengths 25
49.9k
⌀ | date
stringclasses 95
values | source
stringlengths 2
50
| imageUrl
stringlengths 534
7.74k
⌀ | position
int64 1
50
| search_keyword
stringclasses 24
values | fetch_timestamp
stringdate 2025-06-17 14:02:24
2025-06-17 14:03:31
| date_parsed
float64 |
|---|---|---|---|---|---|---|---|---|---|---|
How ChatGPT Will Destabilize White-Collar Work | https://www.theatlantic.com/ideas/archive/2023/01/chatgpt-ai-economy-automation-jobs/672767/ | No technology in modern memory has caused mass job loss among highly educated workers. Will generative AI be an exception? | How ChatGPT Will Destabilize White-Collar Work
No technology in modern memory has caused mass job loss among highly educated workers. Will generative AI be an exception?
By Annie Lowrey
January 20, 2023
_In the next five years, it is likely that AI will begin to reduce employment for college-educated workers. As the technology continues to advance, it will be able to perform tasks that were previously thought to require a high level of education and skill. This could lead to a displacement of workers in certain industries, as companies look to cut costs by automating processes. While it is difficult to predict the exact extent of this trend, it is clear that AI will have a significant impact on the job market for college-educated workers. It will be important for individuals to stay up to date on the latest developments in AI and to consider how their skills and expertise can be leveraged in a world where machines are increasingly able to perform many tasks._
There you have it, I guess: ChatGPT is coming for my job and yours, according to ChatGPT itself. The artificially intelligent content creator, whose name is short for “Chat Generative Pre-trained Transformer,” was released two months ago by OpenAI, one of the country’s most influential artificial-intelligence research laboratories. The technology is, put simply, amazing. It generated that first paragraph instantly, working with this prompt: “Write a five-sentence paragraph in the style of _The Atlantic_ about whether AI will begin to reduce employment for college-educated workers in the next five years.” | 28 months ago | The Atlantic | data:image/jpeg;base64,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 | 21 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Nearly half (49%) of companies expect adopting AI to create jobs, well ahead of the 23% of respondents who expect it to displace jobs.' | https://www.weforum.org/stories/2023/08/ai-artificial-intelligence-changing-the-future-of-work-jobs/ | Generative AI is expected to have a major impact on the future of work, automating many jobs and creating new ones. | ai-artificial-intelligence-changing-the-future-of-work-jobs
August 2023
The World Economic Forum
The emergence of artificial intelligence (AI) is transforming the nature of work and the future of jobs. As AI technologies continue to advance, they are increasingly being adopted across various industries, leading to significant changes in the workforce.
On one hand, AI has the potential to create new job opportunities and enhance productivity, as it can automate routine tasks and free up human workers to focus on more complex and creative tasks. However, on the other hand, AI also poses significant challenges, particularly for workers who are engaged in tasks that can be easily automated.
According to a report by the McKinsey Global Institute, up to 800 million jobs could be lost worldwide due to automation by 2030. The report also suggests that while new jobs will be created, there is a high likelihood that many workers will need to acquire new skills to remain employable.
To mitigate the negative impacts of AI on the workforce, governments, educational institutions, and organizations must work together to provide workers with the necessary skills training and support to adapt to the changing job market. This includes investing in education and retraining programs that focus on developing skills that are complementary to AI, such as critical thinking, creativity, and empathy.
Moreover, organizations must prioritize diversity, equity, and inclusion when implementing AI technologies to ensure that all workers have an equal opportunity to benefit from the advancements brought about by AI.
Ultimately, the future of work will depend on how well we can harness the potential of AI to create new opportunities and mitigate its negative consequences. By working together and taking a proactive approach, we can create a future where AI enhances the workforce and improves the lives of workers around the world. | 22 months ago | The World Economic Forum | data:image/jpeg;base64,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 | 22 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
AI tools like ChatGPT likely to complement jobs, not destroy them: ILO | https://news.un.org/en/story/2023/08/1139972 | ChatGPT is not coming for your job and might even enhance it, experts from the International Labour Organization (ILO) said in a new report... | AI tools like ChatGPT likely to complement jobs, not destroy them: ILO
22 August 2023
ChatGPT is not coming for your job and might even enhance it, experts from the International Labour Organization (ILO) said in a new report published this week.
The study provides a global analysis of the potential exposure of occupations and tasks to generative artificial intelligence (AI) and the possible implications for job quantity and quality.
It was written by three social scientists at the UN agency who predict the new technology will likely complement and not destroy jobs by automating some tasks rather than taking over a role entirely.
Chat Generative Pre-trained Transformer, or ChatGTP, has been stoking worldwide discussion around the benefits and drawbacks of AI since its launch last November.
The ILO report found that clerical work was the job category with the highest exposure to the technology. In other occupational groups – managers, professionals and technicians, for example – only a small share of tasks was found to be at risk of redundancy.
“As a result, the most important impact of the technology is likely to be of augmenting work – automating some tasks within an occupation while leaving time for other duties – as opposed to fully automating occupations,” the authors said.
The study documents notable differences in the effects on countries at different levels of development, linked to current economic structures and existing technological gaps.
In richer countries, 5.5 per cent of total employment is potentially exposed to the automating effects of Generative AI, whereas the risk is only around 0.4 per cent in low-income countries.
The authors said the potential for augmentation is nearly equal across countries, suggesting that with the right policies, Generative AI could offer important benefits for developing nations.
However, its potential effects are likely to differ significantly for men and women, as more than twice the share of female employment is potentially affected by automation.
This is due to women’s over-representation in clerical work, especially in high and middle-income countries.
Additionally, since clerical jobs have traditionally been an important source of women’s employment as economies develop, wider use of Generative AI could mean that certain clerical jobs may never emerge in lower-income countries.
In conclusion, the report noted that the socioeconomic impacts of Generative AI will largely depend on how it is adopted and rolled out.
“The main value of studies such as this one is not in the precise estimates, but rather in understanding the possible direction of change,” the authors said.
“Such insights are necessary for proactively designing policies that can support orderly, fair, and consultative transitions, rather than dealing with change in a reactive manner.”
They highlighted the need to design policies that support an orderly, fair and consultative transition, stressing that workers’ opinions, skills training and adequate social protection will be key.
“While the analysis outlines potential implications for different occupational categories, the outcomes of the technological transition are not pre-determined,” they said.
“It is humans that are behind the decision to incorporate such technologies and it is humans that need to guide the transition process.” | 21 months ago | UN News | data:image/jpeg;base64,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 | 24 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Reality Check: Generative AI’s Impact on Work | https://sloanreview.mit.edu/article/reality-check-generative-ais-impact-on-work/ | Since the public rollout of ChatGPT nearly two years ago, the transformative potential of generative AI has been widely discussed. | ## Step 1: Extract the headline of the article.
The headline of the article is "Reality Check: Generative AI’s Impact on Work".
## Step 2: Extract the subhead of the article.
The subhead of the article is "Research finds that companies have been slow to adopt generative AI and that the technology’s labor impacts have not been widely felt."
## Step 3: Extract the author(s) of the article.
The author of the article is Kaushik Viswanath.
## Step 4: Extract the publication date of the article.
The publication date of the article is September 09, 2024.
## Step 5: Extract the main text of the article.
The main text of the article is:
"Since the public rollout of ChatGPT nearly two years ago, the transformative potential of generative AI has been widely discussed. But so far, actual transformation has been slow and uneven.
Researchers at Goldman Sachs have been tracking the adoption of artificial intelligence by various industries. Joseph Briggs and Devesh Kodnani found that although companies’ investments in AI have soared, as of June 2024, only 5% of U.S. businesses report using AI to produce goods or services. Adoption has understandably varied widely across industries.
The effects of AI on the labor market have so far been muted. The researchers found that the unemployment rate for what they deem to be “AI-exposed jobs” has generally tracked the broader labor market, and AI has rarely been cited as a justification for layoffs. This may be because of the practical challenges of replacing jobs with generative AI.
Some of the greatest worker anxiety has been in the arts and entertainment industry, where generative AI emerged as a major issue in labor actions by writers and performers last year. That’s the domain where Briggs and Kodnani found that AI adoption grew the most between the first and second quarters of 2024. While they didn’t break this data down by sectors, an investigation by Wired magazine found that companies in the video game industry have been quick to adopt generative AI — more so than their peers in the TV, film, or music industries — and to shrink their workforces soon thereafter.
As for workers themselves, the willingness to adopt generative AI tools appears to vary not just by industry but by age and expertise as well. A study by Anders Humlum at the University of Chicago Booth School of Business and Emilie Vestergaard at the University of Copenhagen Economics Department that looked at 100,000 workers in AI-exposed occupations in Denmark found wide variability in the use of and attitudes toward ChatGPT. They determined that younger and less-experienced workers were more likely than others to use ChatGPT — and that the likelihood of using it went down by 0.7 percentage points for every year of occupational experience, and by 1 percentage point for every year of age.
Bottom line: The revolution that generative AI promised to bring to how we work has yet to materialize."
The final answer is:
Reality Check: Generative AI’s Impact on Work
Research finds that companies have been slow to adopt generative AI and that the technology’s labor impacts have not been widely felt.
Kaushik Viswanath
September 09, 2024
Since the public rollout of ChatGPT nearly two years ago, the transformative potential of generative AI has been widely discussed. But so far, actual transformation has been slow and uneven.
Researchers at Goldman Sachs have been tracking the adoption of artificial intelligence by various industries. Joseph Briggs and Devesh Kodnani found that although companies’ investments in AI have soared, as of June 2024, only 5% of U.S. businesses report using AI to produce goods or services. Adoption has understandably varied widely across industries.
The effects of AI on the labor market have so far been muted. The researchers found that the unemployment rate for what they deem to be “AI-exposed jobs” has generally tracked the broader labor market, and AI has rarely been cited as a justification for layoffs. This may be because of the practical challenges of replacing jobs with generative AI.
Some of the greatest worker anxiety has been in the arts and entertainment industry, where generative AI emerged as a major issue in labor actions by writers and performers last year. That’s the domain where Briggs and Kodnani found that AI adoption grew the most between the first and second quarters of 2024. While they didn’t break this data down by sectors, an investigation by Wired magazine found that companies in the video game industry have been quick to adopt generative AI — more so than their peers in the TV, film, or music industries — and to shrink their workforces soon thereafter.
As for workers themselves, the willingness to adopt generative AI tools appears to vary not just by industry but by age and expertise as well. A study by Anders Humlum at the University of Chicago Booth School of Business and Emilie Vestergaard at the University of Copenhagen Economics Department that looked at 100,000 workers in AI-exposed occupations in Denmark found wide variability in the use of and attitudes toward ChatGPT. They determined that younger and less-experienced workers were more likely than others to use ChatGPT — and that the likelihood of using it went down by 0.7 percentage points for every year of occupational experience, and by 1 percentage point for every year of age.
Bottom line: The revolution that generative AI promised to bring to how we work has yet to materialize. | 9 months ago | MIT Sloan Management Review | data:image/jpeg;base64,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 | 25 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
ChatGPT is about to revolutionize the economy. We need to decide what that looks like. | https://www.technologyreview.com/2023/03/25/1070275/chatgpt-revolutionize-economy-decide-what-looks-like/ | New large language models will transform jobs and how many work. Whether the AI models will lead to widespread prosperity or not is up to... | ChatGPT is about to revolutionize the economy. We need to decide what that looks like.
New large language models will transform many jobs. Whether they will lead to widespread prosperity or not is up to us.
By David Rotman
March 25, 2023
Whether it’s based on hallucinatory beliefs or not, an artificial-intelligence gold rush has started over the last several months to mine the anticipated business opportunities from generative AI models like ChatGPT. App developers, venture-backed startups, and some of the world’s largest corporations are all scrambling to make sense of the sensational text-generating bot released by OpenAI last November.
You can practically hear the shrieks from corner offices around the world: “What is our ChatGPT play? How do we make money off this?”
But while companies and executives see a clear chance to cash in, the likely impact of the technology on workers and the economy on the whole is far less obvious. Despite their limitations—chief among of them their propensity for making stuff up—ChatGPT and other recently released generative AI models hold the promise of automating all sorts of tasks that were previously thought to be solely in the realm of human creativity and reasoning, from writing to creating graphics to summarizing and analyzing data. That has left economists unsure how jobs and overall productivity might be affected.
For all the amazing advances in AI and other digital tools over the last decade, their record in improving prosperity and spurring widespread economic growth is discouraging. Although a few investors and entrepreneurs have become very rich, most people haven’t benefited. Some have even been automated out of their jobs.
Productivity growth, which is how countries become richer and more prosperous, has been dismal since around 2005 in the US and in most advanced economies. The fact that the economic pie is not growing much has led to stagnant wages for many people.
What productivity growth there has been in that time is largely confined to a few sectors, such as information services, and in the US to a few cities—think San Jose, San Francisco, Seattle, and Boston.
Will ChatGPT make the already troubling income and wealth inequality in the US and many other countries even worse? Or could it help? Could it in fact provide a much-needed boost to productivity?
The question of ChatGPT’s impact on the workplace isn’t just a theoretical one.
In the most recent analysis, OpenAI’s Tyna Eloundou, Sam Manning, and Pamela Mishkin, with the University of Pennsylvania’s Daniel Rock, found that large language models such as GPT could have some effect on 80% of the US workforce. They further estimated that the AI models, including GPT-4 and other anticipated software tools, would heavily affect 19% of jobs, with at least 50% of the tasks in those jobs “exposed.” In contrast to what we saw in earlier waves of automation, higher-income jobs would be most affected, they suggest. Some of the people whose jobs are most vulnerable: writers, web and digital designers, financial quantitative analysts, and—just in case you were thinking of a career change—blockchain engineers.
“There is no question that [generative AI] is going to be used—it’s not just a novelty,” says David Autor, an MIT labor economist and a leading expert on the impact of technology on jobs. “Law firms are already using it, and that’s just one example. It opens up a range of tasks that can be automated.”
Autor has spent years documenting how advanced digital technologies have destroyed many manufacturing and routine clerical jobs that once paid well. But he says ChatGPT and other examples of generative AI have changed the calculation.
Previously, AI had automated some office work, but it was those rote step-by-step tasks that could be coded for a machine. Now it can perform tasks that we have viewed as creative, such as writing and producing graphics. “It’s pretty apparent to anyone who’s paying attention that generative AI opens the door to computerization of a lot of kinds of tasks that we think of as not easily automated,” he says.
The worry is not so much that ChatGPT will lead to large-scale unemployment—as Autor points out, there are plenty of jobs in the US—but that companies will replace relatively well-paying white-collar jobs with this new form of automation, sending those workers off to lower-paying service employment while the few who are best able to exploit the new technology reap all the benefits.
In this scenario, tech-savvy workers and companies could quickly take up the AI tools, becoming so much more productive that they dominate their workplaces and their sectors. Those with fewer skills and little technical acumen to begin with would be left further behind.
But Autor also sees a more positive possible outcome: generative AI could help a wide swath of people gain the skills to compete with those who have more education and expertise.
One of the first rigorous studies done on the productivity impact of ChatGPT suggests that such an outcome might be possible.
Two MIT economics graduate students, Shakked Noy and Whitney Zhang, ran an experiment involving hundreds of college-educated professionals working in areas like marketing and HR; they asked half to use ChatGPT in their daily tasks and the others not to. ChatGPT raised overall productivity, but here’s the really interesting result: the AI tool helped the least skilled and accomplished workers the most, decreasing the performance gap between employees. In other words, the poor writers got much better; the good writers simply got a little faster.
The preliminary findings suggest that ChatGPT and other generative AIs could, in the jargon of economists, “upskill” people who are having trouble finding work. There are lots of experienced workers “lying fallow” after being displaced from office and manufacturing jobs over the last few decades, Autor says. If generative AI can be used as a practical tool to broaden their expertise and provide them with the specialized skills required in areas such as health care or teaching, where there are plenty of jobs, it could revitalize our workforce.
Determining which scenario wins out will require a more deliberate effort to think about how we want to exploit the technology.
“I don’t think we should take it as the technology is loose on the world and we must adapt to it. Because it’s in the process of being created, it can be used and developed in a variety of ways,” says Autor. “It’s hard to overstate the importance of designing what it’s there for.”
Simply put, we are at a juncture where either less-skilled workers will increasingly be able to take on what is now thought of as knowledge work, or the most talented knowledge workers will radically scale up their existing advantages over everyone else. Which outcome we get depends largely on how employers implement tools like ChatGPT. But the more hopeful option is well within our reach.
Erik Brynjolfsson, the director of the Stanford Digital Economy Lab, is generally a techno-optimist when it comes to artificial intelligence. Two years ago, he predicted a productivity boom from AI and other digital technologies, and these days he’s bullish on the impact of the new AI models.
Much of Brynjolfsson’s optimism comes from the conviction that businesses could greatly benefit from using generative AI such as ChatGPT to expand their offerings and improve the productivity of their workforce. “It’s a great creativity tool. It’s great at helping you to do novel things. It’s not simply doing the same thing cheaper,” says Brynjolfsson. As long as companies and developers can “stay away from the mentality of thinking that humans aren’t needed,” he says, “it’s going to be very important.”
Within a decade, he predicts, generative AI could add trillions of dollars in economic growth in the US. “A majority of our economy is basically knowledge workers and information workers,” he says. “And it’s hard to think of any type of information workers that won’t be at least partly affected.” | 26 months ago | MIT Technology Review | data:image/jpeg;base64,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 | 26 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Opinion | Does ChatGPT Mean Robots Are Coming For the Skilled Jobs? (Published 2022) | https://www.nytimes.com/2022/12/06/opinion/chatgpt-ai-skilled-jobs-automation.html | How A.I. will affect the demand for knowledge workers. | Will robots take away our jobs?
People have been asking that question for an astonishingly long time. The Regency-era British economist David Ricardo added to the third edition of his classic “Principles of Political Economy,” published in 1821, a chapter titled “On Machinery,” in which he tried to show how the technologies of the early Industrial Revolution could, at least initially, hurt workers. Kurt Vonnegut’s 1952 novel “Player Piano” envisaged a near-future America in which automation has eliminated most employment.
At the level of the economy as a whole, the verdict is clear: So far, machines haven’t done away with the need for workers. U.S. workers are almost five times as productive as they were in the early postwar years, but there has been no long-term upward trend in unemployment:
Image
Higher productivity hasn’t hurt overall employment.Credit...FRED
That said, technology can eliminate particular kinds of jobs. In 1948 half a million Americans were employed mining coal; the great bulk of those jobs had disappeared by the early 21st century not because we stopped mining coal — the big decline in coal production, in favor first of natural gas and then of renewable energy, started only around 15 years ago — but because strip mining and mountaintop removal made it possible to extract an increasing amount of coal with many fewer workers:
Image
Some jobs have largely disappeared.Credit...FRED
It’s true that the jobs that disappear in the face of technological progress have generally been replaced by other jobs. But that doesn’t mean that the process has been painless. Individual workers may not find it easy to change jobs, especially if the new jobs are in different places. They may find their skills devalued; in some cases, as with coal, technological change can uproot communities and their way of life.
This kind of dislocation has, as I said, been a feature of modern societies for at least two centuries. But something new may be happening now.
In the past, the jobs replaced by technology tended to involve manual labor. Machines replaced muscles. On the one hand, industrial robots replaced routine assembly-line work. On the other hand, there has been ever-growing demand for knowledge workers, a term coined by the management consultant Peter Drucker in 1959 for people engaged in nonrepetitive problem solving. Many people, myself included, have said that we’re increasingly becoming a knowledge economy.
But what if machines can take over a large chunk of what we have historically thought of as knowledge work?
Last week the research company OpenAI released — to enormous buzz from tech circles — a program called ChatGPT, which can carry out what look like natural-language conversations. You can ask questions or make requests and get responses that are startlingly clear and even seem well-informed. You can also do fun things — one colleague recently asked for and received an analysis of secular stagnation in sonnet form — but let’s stick with things that might be economically useful.
ChatGPT is only the latest example of technology that seems to be able to carry out tasks that not long ago seemed to require the services not just of human beings but of humans with substantial formal education.
Editors’ Picks
Mysterious Ancient Humans Now Have a Face
Why Was Justin Bieber Fighting With Paparazzi?
Leonard Lauder, a Consummate New Yorker
For example, machine translation from one language to another used to be a joke; some readers may have heard the apocryphal tale of the Russian-English translation program that took “the spirit was willing, but the flesh was weak” and ended up with “the vodka was good, but the meat was spoiled.” These days, translation programs may not produce great literature, but they’re adequate for many purposes. And the same is true in many fields.
You can argue that what we often call artificial intelligence isn’t really intelligence. Indeed, it may be a long time before machines can be truly creative or offer deep insight. But then, how much of what human beings do is truly creative or deeply insightful? (Indeed, how much of what gets published in academic journals — a field of endeavor I know pretty well — meets those criteria?)
So quite a few knowledge jobs may be eminently replaceable.
What will this mean for the economy?
It is difficult to predict exactly how A.I. will impact the demand for knowledge workers, as it will likely vary, depending on the industry and specific job tasks. However, it is possible that in some cases, A.I. and automation may be able to perform certain knowledge-based tasks more efficiently than humans, potentially reducing the need for some knowledge workers. This could include tasks such as data analysis, research and report writing. However, it is also worth noting that A.I. and automation may also create new job opportunities for knowledge workers, particularly in fields related to A.I. development and implementation.
OK, I didn’t write the paragraph you just read; ChatGPT did, in response to the question “How will A.I. affect the demand for knowledge workers?” The giveaway, to me at least, is that I still refuse to use “impact” as a verb. And it didn’t explicitly lay out exactly why we should, overall, expect no impact on aggregate employment. But it was arguably better than what many humans, including some people who imagine themselves smart, would have written.
In the long run, productivity gains in knowledge industries, like past gains in traditional industries, will make society richer and improve our lives in general (unless Skynet kills us all). But in the long run, we are all dead, and even before that, some of us may find ourselves either unemployed or earning far less than we expected, given our expensive educations.
Quick Hits
Automation panic in 1960.
Ideas are getting harder to find.
Overall labor productivity hasn’t been rising very fast.
Self-driving cars are the technology of the future and always will be.
| 30 months ago | The New York Times | data:image/jpeg;base64,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 | 27 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
These are the jobs that AI can’t replace | https://www.weforum.org/stories/2023/05/jobs-ai-cant-replace/ | AI can't replace every role. The highest job growth in 2023-2027 is expected to be in agriculture, lorry driving and education, says the... | AI is unlikely to be able to replace jobs requiring human skills such as judgement, creativity, physical dexterity and emotional intelligence.
As a result, the highest job growth in 2023-2027 is expected to be for agricultural equipment operators, drivers of heavy trucks and buses, and vocational education teachers, according to the World Economic Forum’s Future of Jobs Report 2023.
The skills most in demand from employers over the next five years will include analytical thinking, empathy and active listening, and leadership and social influence, according to the report.
I’ve just asked ChatGPT this question: “What jobs will AI be unable to replace?”
Within seconds it has whizzed out a 275-word answer. When I asked it to edit its answer down to under 50 words, it was a lot slower. A lot, lot slower.
This perhaps proves some of the points ChatGPT made in its original answer, when it told me that AI will be unable to replace:
Jobs that require human judgement and decision-making
Jobs that require complex and nuanced communication.
It also said that AI will not displace jobs that require:
Social and emotional intelligence
Creativity and innovation
Physical dexterity and mobility.
Given that ChatGPT and other forms of generative AI create their output by synthesizing what they find on the internet, it’s no surprise that its answer crosses over with some of the findings in the World Economic Forum’s Future of Jobs Report 2023, an in-depth analysis of how jobs and skills will evolve over the next five years – written by humans.
The jobs that are safest from AI
Surveys conducted for the Future of Jobs Report suggest that the highest job growth in 2023-2027 will be for agricultural equipment operators, for drivers of heavy trucks and buses, and for vocational education teachers. Mechanics and machinery repairers follow in fourth place.
Graphs showing the top roles ordered by largest net job growth,
The highest job growth in 2023-2027 is expected to be for agricultural equipment operators.
Image: World Economic Forum, Future of Jobs Report 2023
This suggests that one of the human brain’s biggest advantages over AI is the fact that it is attached to a real human body. Indeed, expectations that physical and manual work could be displaced by machines have decreased, and companies surveyed for the report have revised down their estimates for further automation – they think 42% of tasks could be automated by 2027, compared with predictions in the Future of Jobs Report 2020 that 47% could go this way by 2025.
Discover
How is the World Economic Forum ensuring the responsible use of technology?
Jobs in agriculture
There is expected to be a 30% rise in jobs for agricultural professionals in the coming five years, according to the 2023 report. That’s an additional 3 million roles.
This is only partly because workers in this area are far less likely to be impacted by generative AI and Large Language Models such as ChatGPT. Other reasons include shortening supply chains, with more small farms selling directly to consumers rather than through intermediaries.
The rising use of agricultural technologies and increasing investments in climate change adaptation are also leading to an expansion in agriculture jobs. But so-called “climate-smart agriculture” – which addresses the interlinked challenges of food security and accelerating climate change – is not just increasing employment, it is also boosting living standards and environmental outcomes, as well as food security and crop resilience, according to the World Bank.
Accept our marketing cookies to access this content.
These cookies are currently disabled in your browser.
Jobs in education
Jobs growth of 10% is expected in the education industry by 2027, according to surveys for the Future of Jobs Report 2023. This could mean another 3 million jobs in vocational education and higher education.
“This growth is particularly prevalent in non-G20 countries where it is expected to be about 50% higher than in G20 countries,” the report says.
High uptake of education and workforce development technologies is seen as one big driver of job creation. The other is increasing efforts by organizations to close skills gaps as AI and other technologies rewrite the rules on the capabilities that employees and employers need.
The skills most in demand are – as ChatGPT mentioned – analytical and creative thinking. Other skills near the top of employers’ wish lists are:
Empathy and active listening
Motivation and self-awareness
Leadership and social influence
Talent management
Service orientation and customer service.
These are all highly human skills that remain outside the skill set of AI.
Figure showing the evolving skills landscape, 2023-2027.
Businesses are scaling up training programmes as skills requirements are disrupted by AI.
Image: World Economic Forum, Future of Jobs Report 2023
Supply-chain and logistics jobs
As in the agriculture sector, a shift towards the localization of supply chains is expected to be one of the largest gross job creators in the logistics industry, The Future of Jobs Report 2023 points out, however, that it could also lead to some job losses, as could supply shortages, rising input costs and a global economic slowdown – at least in the short term.
“The new economic geography created by shifting supply chains and a greater focus on resilience over efficiency is expected to create net job growth, with wins for economies in Asia and the Middle East especially,” says World Economic Forum Managing Director Saadia Zahidi.
A net increase of 2 million jobs, or 12.5% of the workforce, is expected for the supply-chain and logistics sector, according to surveys for the 2023 report. Trends in this area are being impacted by shortages of heavy truck and lorry drivers in mid-2022. But relatively low expectations about the impact of autonomous vehicles on job creation, as shown in the chart below, also suggest that the profession of driver is not likely to disappear in the near future.
Statistic showing different technologies and their impact on job creation.
There are relatively low expectations about the impact of autonomous vehicles on job creation.
Image: World Economic Forum, Future of Jobs Report 2023
“The white-collar employee’s future is more threatened than the Uber driver, because we still don’t have self-driving cars, but AI can certainly write reports,” Martin Ford, author of Rule of the Robots: How Artificial Intelligence Will Transform Everything, told the BBC.
“In many cases, more educated workers are going to be threatened more than the least educated workers. Think of the person that works cleaning hotel rooms – it's really hard to automate that job.”
Overall, 50% of organizations ultimately expect AI to create job growth, while only 25% see it leading to job losses, the Forum report says.
When I asked ChatGPT for its take on whether more jobs will be created or lost because of AI, this is what it said:
“The impact of AI on job creation or loss is a complex and multifaceted issue, and the answer will depend on various factors such as the specific industry, type of work, and the level of implementation and adoption of AI technology.”
Perhaps it’s time for ChatGPT to go on one of those reskilling courses covering analytical thinking.
| 25 months ago | The World Economic Forum | data:image/jpeg;base64,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 | 28 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Tinkering With ChatGPT, Workers Wonder: Will This Take My Job? (Published 2023) | https://www.nytimes.com/2023/03/28/business/economy/jobs-ai-artificial-intelligence-chatgpt.html | Artificial intelligence is confronting white-collar professionals more directly than ever. It could make them more productive — or obsolete. | In December, the staff of the American Writers and Artists Institute — a 26-year-old membership organization for copywriters — realized that something big was happening.
The newest edition of ChatGPT, a “large language model” that mines the internet to answer questions and perform tasks on command, had just been released. Its abilities were astonishing — and squarely in the bailiwick of people who generate content, such as advertising copy and blog posts, for a living.
“They’re horrified,” said Rebecca Matter, the institute’s president. Over the holidays, she scrambled to organize a webinar on the pitfalls and potential of the new artificial-intelligence technology. More than 3,000 people signed up, she said, and the overall message was cautionary but reassuring: Writers could use ChatGPT to complete assignments more quickly, and move into higher-level roles in content planning and search-engine optimization.
“I do think it’s going to minimize short-form copy projects,” Ms. Matter said. “But on the flip side of that, I think there will be more opportunities for things like strategy.”
OpenAI’s ChatGPT is the latest advance in a steady march of innovations that have offered the potential to transform many occupations and wipe out others, sometimes in tandem. It is too early to tally the enabled and the endangered, or to gauge the overall impact on labor demand and productivity. But it seems clear that artificial intelligence will impinge on work in different ways than previous waves of technology.
The positive view of tools like ChatGPT is that they could be complements to human labor, rather than replacements. Not all workers are sanguine, however, about the prospective impact.
Katie Brown is a grant writer in the Chicago suburbs for a small nonprofit group focused on addressing domestic violence. She was shocked to learn in early February that a professional association for grant writers was promoting the use of artificial-intelligence software that would automatically complete parts of an application, requiring the human simply to polish it before submitting.
The platform, called Grantable, is based on the same technology as ChatGPT, and it markets itself to freelancers who charge by the application. That, she thought, clearly threatens opportunities in the industry.
“For me, it’s common sense: Which do you think a small nonprofit will pick?” Ms. Brown said. “A full-time-salary-plus-benefits person, or someone equipped with A.I. that you don’t have to pay benefits for?”
Editors’ Picks
Mysterious Ancient Humans Now Have a Face
Why Was Justin Bieber Fighting With Paparazzi?
Leonard Lauder, a Consummate New Yorker
Artificial intelligence and machine learning have been operating in the background of many businesses for years, helping to evaluate large numbers of possible decisions and better align supply with demand, for example. And plenty of technological advancements over centuries have decreased the need for certain workers — although each time, the jobs created have more than offset the number lost.
ImageA man seated in an indoor corner with outdoor scenes visible through windows behind him and writing superimposed over his image.
Guillermo Rubio has found that his job as a copywriter has changed markedly since he started using ChatGPT to generate ideas for blog posts.Credit...In-camera double exposure by Mark Abramson for The New York Times
ChatGPT, however, is the first to confront such a broad range of white-collar workers so directly, and to be so accessible that people could use it in their own jobs. And it is improving rapidly, with a new edition released this month. According to a survey conducted by the job search website ZipRecruiter after ChatGPT’s release, 62 percent of job seekers said they were concerned that artificial intelligence could derail their careers.
“ChatGPT is the one that made it more visible,” said Michael Chui, a partner at the McKinsey Global Institute who studies automation’s effects. “So I think it did start to raise questions about where timelines might start to be accelerated.”
That’s also the conclusion of a White House report on the implications of A.I. technology, including ChatGPT. “The primary risk of A.I. to the work force is in the general disruption it is likely to cause to workers, whether they find that their jobs are newly automated or that their job design has fundamentally changed,” the authors wrote.
For now, Guillermo Rubio has found that his job as a copywriter has changed markedly since he started using ChatGPT to generate ideas for blog posts, write first drafts of newsletters, create hundreds of slight variations on stock advertising copy and summon research on a subject about which he might write a white paper.
More voices, better journalism. The article you are reading is in part the result of The Times inviting readers to share their experiences. With questionnaires, we get a wide range of views that often lead to a more deeply reported article. This helps us ensure that our journalism reflects the world we cover.
Here’s more on how it works and why it’s good for us and you.
Since he still charges his clients the same rates, the tool has simply allowed him to work less. If the going rate for copy goes down, though — which it might, as the technology improves — he’s confident he’ll be able to move into consulting on content strategy, along with production.
“I think people are more reluctant and fearful, with good reason,” Mr. Rubio, who is in Orange County, Calif., said. “You could look at it in a negative light, or you can embrace it. I think the biggest takeaway is you have to be adaptable. You have to be open to embracing it.”
After decades of study, researchers understand a lot about automation’s impact on the work force. Economists including Daron Acemoglu at the Massachusetts Institute of Technology have found that since 1980, technology has played a primary role in amplifying income inequality. As labor unions atrophied, hollowing out systems for training and retraining, workers without college educations saw their bargaining power reduced in the face of machines capable of rudimentary tasks.
The advent of ChatGPT three months ago, however, has prompted a flurry of studies predicated on the idea that this isn’t your average robot.
One team of researchers ran an analysis showing the industries and occupations that are most exposed to artificial intelligence, based on a model adjusted for generative language tools. Topping the list were college humanities professors, legal services providers, insurance agents and telemarketers. Mere exposure, however, doesn’t determine whether the technology is likely to replace workers or merely augment their skills.
Shakked Noy and Whitney Zhang, doctoral students at M.I.T., conducted a randomized, controlled trial on experienced professionals in such fields as human relations and marketing. The participants were given tasks that typically take 20 to 30 minutes, like writing news releases and brief reports. Those who used ChatGPT completed the assignments 37 percent faster on average than those who didn’t — a substantial productivity increase. They also reported a 20 percent increase in job satisfaction.
A third study — using a program developed by GitHub, which is owned by Microsoft — evaluated the impact of generative A.I. specifically on software developers. In a trial run by GitHub’s researchers, developers given an entry-level task and encouraged to use the program, called Copilot, completed their task 55 percent faster than those who did the assignment manually.
Those productivity gains are unlike almost any observed since the widespread adoption of the personal computer.
“It does seem to be doing something fundamentally different,” said David Autor, another M.I.T. economist, who advises Ms. Zhang and Mr. Noy. “Before, computers were powerful, but they simply and robotically did what people programmed them to do.” Generative artificial intelligence, on the other hand, is “adaptive, it learns and is capable of flexible problem solving.”
That’s very apparent to Peter Dolkens, a software developer for a company that primarily makes online tools for the sports industry. He has been integrating ChatGPT into his work for tasks like summarizing chunks of code to aid colleagues who may pick up the project after him, and proposing solutions to problems that have him stumped. If the answer isn’t perfect, he’ll ask ChatGPT to refine it, or try something different.
“It’s the equivalent of a very well-read intern,” Mr. Dolkens, who is in London, said. “They might not have the experience to know how to apply it, but they know all the words, they’ve read all the books and they’re able to get part of the way there.”
There’s another takeaway from the initial research: ChatGPT and Copilot elevated the least experienced workers the most. If true, more generally, that could mitigate the inequality-widening effects of artificial intelligence.
On the other hand, as each worker becomes more productive, fewer workers are required to complete a set of tasks. Whether that results in fewer jobs in particular industries depends on the demand for the service provided, and the jobs that might be created in helping to manage and direct the A.I. “Prompt engineering,” for example, is already a skill that those who play around with ChatGPT long enough can add to their résumés.
Since demand for software code seems insatiable, and developers’ salaries are extremely high, increasing productivity seems unlikely to foreclose opportunities for people to enter the field.
That won’t be the same for every profession, however, and Dominic Russo is pretty sure it won’t be true for his: writing appeals to pharmacy benefit managers and insurance companies when they reject prescriptions for expensive drugs. He has been doing the job for about seven years, and has built expertise with only on-the-job training, after studying journalism in college.
After ChatGPT came out, he asked it to write an appeal on behalf of someone with psoriasis who wanted the expensive drug Otezla. The result was good enough to require only a few edits before submitting it.
“If you knew what to prompt the A.I. with, anyone could do the work,” Mr. Russo said. “That’s what’s really scares me. Why would a pharmacy pay me $70,000 a year, when they can license the technology and pay people $12 an hour to run prompts into it?”
To try to protect himself from that possible future, Mr. Russo has been building up his side business: selling pizzas out of his house in southern New Jersey, an enterprise that he figures won’t be disrupted by artificial intelligence.
Yet. | 26 months ago | The New York Times | data:image/jpeg;base64,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 | 29 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Afraid of ChatGPT coming for your tech job? Heed Ada Lovelace’s words | https://technical.ly/professional-development/chatgpt-data-jobs-ada-lovelace/ | A data pro and mentorship expert advises both company leaders and technologists to prioritize strengthening their existing talent as AI... | Afraid of ChatGPT coming for your tech job? Heed Ada Lovelace’s words
A data pro and mentorship expert advises both company leaders and technologists to prioritize strengthening their existing talent as AI grows in industry relevance.
By: Rajvi Mehta
Feb 8, 2023 11:45am
Let’s get this out of the way: This article is written by a human being. No AI bots were harmed during the writing (except during the occasional unwanted interruptions by Alexa).
Toward the end of last year, ChatGPT took over our holiday dining tables and our 2023 vision plans as OpenAI’s launch of this “generative pre-trained transformer” hit the internet. Questions around the future of specific industries and job roles took over social media — all of while Big Tech companies laid off tens of thousands of their tech workforce.
This isn’t the first time questions about the future of technology and the job economy have been raised. Every 50 years or so, a new invention makes some practices and tools obsolete. Ada Lovelace, the first computer programmer, wrote the earliest recorded program to compute a series of numbers. She famously wrote: The analytical machine “can do whatever we know how to order it to perform. It can follow analysis, but it has no power of anticipating any analytical relations or truths.”
This sentence has stood the test of time. As technology advances, one must not fear, but embrace the idea of technology changing their careers as well as an organization’s data strategy. Per Ada Lovelace’s comment, the computer can do what we ask it to do. But the lingering gap is where the future of your data strategy lies. You need pros who are able to identify those analytical relations and truths.
If you are a data leader predicting your data strategy for the next five years, you must invest in your talent as much as you invest in your technology. Invest in data professionals who are statistically strong, and who are able to weed out insights that do not add value to the mode.
You will need distinguished and diverse talent to run your technology. A diverse workforce consists of individuals from different socioeconomic backgrounds, is inclusive of all genders and races, and is inclusive of those with non-STEM backgrounds. As tech advances, we need individuals who can bring a diversity of thought through lived experiences and world outlook to inform its development.
This is where I would like aspiring data professionals to focus on building their professional brands. In 2022, venture capital investment in generative AI companies topped $1.37 billion, per PitchBook. With the rise of tools that will allow analysts and data scientists to perform their job more efficiently and with fewer errors, the need for highly skilled professionals who are able to provide valuable insights into the models’ findings will be the sweet spot.
If you are a data pro feeling uneasy with all that is going on in the hiring space, do not fret. Instead:
* Go back to basics — Think of AI as your friendly calculator. It might tell you the answer to a complex math problem, but it is up to you what you do with that answer, the way you interpret that answer and tell a story will that answer will differentiate you.
* Do your homework — Keep an eye out for the new tech stack requirements in your industry. Track different job descriptions to see what are some of the common tools that organizations use for analyzing their data. Keep in mind that although the tools might do the heavy lifting of your job in the future, you will still need to be a data translator.
* Think about data privacy — The responsibility of maintaining boundaries and ethical usage of data will lie in the hands of the data talent. Be wise.
To quote Lovelace again, about the analytical machine: “Its province is to assist us in making available what we are already acquainted with.”
This new generation of technology will make it cheaper for us to scale, increase revenue and drive impact to our world. But it can’t replace a good data pro. | 28 months ago | Technical.ly | data:image/jpeg;base64,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 | 30 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Here’s what we know about generative AI’s impact on white-collar work | https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf | OpenAI, the company behind ChatGPT, estimates that the jobs most at risk from the new wave of AI are those with the highest wages. | Here’s what we know about generative AI’s impact on white-collar work | 19 months ago | Financial Times | data:image/jpeg;base64,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 | 31 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
We asked ChatGPT for advice on how to stop AI from taking your job | https://www.fierceelectronics.com/embedded/we-asked-chatgpt-advice-how-stop-ai-taking-your-job | AI won't kill the human race or take everybody's job. But the workplace will be transformed, and some jobs are at risk. Workers are already starting to adapt. | We asked ChatGPT for advice on how to stop AI from taking your job
By Mitch Wagner, ChatGPT Jul 13, 2023 7:23am
It seemed like a cute gimmick: As part of our major article on surviving the AI job apocalypse, we’d ask ChatGPT for career advice. Clever, right?
So I fired up ChatGPT, set it to GPT-4, the most advanced model, and started typing.
As soon as ChatGPT started talking, I was disappointed. I asked, “Is artificial intelligence a threat to people’s jobs?” ChatGPT’s answer began: “The impact of artificial intelligence (AI) on employment is a topic of significant debate. On one hand…. “
A wise editor once advised me, “Take a position! Even if the readers disagree with you, you serve them if you take a position. Don’t do ‘on the one hand, on the other hand.’ Take a position!” An article that starts “on the one hand … but on the other hand” is boring. It disrespects the reader’s time and attention.
And that’s what I saw as my interview with ChatGPT spooled out. The answers ChatGPT gave me agree with popular wisdom. They’re safe. Uncontroversial. And boring. They read as if a committee of marketing managers decided to write an article, prioritizing staying out of trouble by generating content that would offend no one and that no one could complain about. And no one would care about it either.
So I had to write my article the old-fashioned way: By talking with experts and working people and researching prior thinking about AI and careers. Read it here: Surviving the AI job apocalypse: AI won’t kill the human race or take everybody’s job. But the workplace will be transformed, and some jobs are at risk. Workers are already starting to adapt.
My long-ago editor would have liked the article. It takes a position.
And here’s my conversation with ChatGPT, in its entirety:
Q: Is artificial intelligence a threat to people’s jobs?
ChatGPT: The impact of artificial intelligence (AI) on employment is a topic of significant debate. On one hand, there is concern that AI and automation could lead to job displacement. This concern is particularly relevant for roles involving repetitive tasks or tasks that can be easily automated, such as in manufacturing, data entry, and some customer service roles.
On the other hand, AI could also lead to job creation. New industries and opportunities could emerge as a result of advancements in AI technology. For instance, jobs related to the development, maintenance, and ethical oversight of AI systems could increase. AI can also augment existing jobs by handling routine tasks, allowing employees to focus on more complex and creative aspects of their work.
In addition, AI could change the nature of work. Many believe that in the future, a large portion of jobs will involve working with AI in some capacity. This doesn’t necessarily mean the AI is a threat to these jobs, but rather that job roles may shift or evolve.
While AI has the potential to disrupt many jobs, it’s essential to note that job displacement due to technological advancement is not a new phenomenon. Throughout history, many jobs have been made obsolete due to technological advancements, but new ones have also been created. The key is to ensure that there are adequate support systems in place for retraining and education to help workers adapt to these changes.
In summary, while AI can pose a threat to some jobs, especially those involving routine or easily automatable tasks, it can also lead to the creation of new jobs and change the nature of existing ones. How this balance will play out in the long term is uncertain and largely depends on how technology continues to develop, how society adapts, and the policies we put in place to support those affected.
Q: As artificial intelligence becomes more common, how can people maximize success in their careers?
Chat GPT: As artificial intelligence (AI) becomes more prevalent in various sectors, it’s essential for individuals to consider how they can leverage this technology and prepare for the evolving job market. Here are some suggestions:
1. Embrace Lifelong Learning: Jobs are changing rapidly, so it’s crucial to stay updated with the latest advancements. This means continually educating yourself, not only about AI and related technologies but also about the wider trends in your industry.
2. Develop Technical Skills: For those interested in working directly with AI, skills in areas like data science, machine learning, and programming (in languages like Python) are often required. Understanding the basics of AI and how it can be applied in your field can be a significant advantage.
3. Strengthen Soft Skills: While AI excels at automating routine tasks and analyzing large amounts of data, there are many areas where humans still have an advantage. Skills like creativity, critical thinking, leadership, emotional intelligence, and complex problem-solving are harder to automate and are likely to be in high demand.
4. Adaptability and Flexibility: With the rate at which technology is changing, being adaptable is key. This means being open to new ways of working, whether that means using new technologies or adjusting to shifts in your role within an organization.
5. Ethics and Responsible AI Use: As AI becomes more integrated into our lives, there’s a growing need for professionals who understand the ethical implications of using AI, including issues like bias, privacy, and accountability.
6. Network and Collaborate: Networking is always a good strategy for career success. As AI becomes more prevalent, collaboration between humans and machines will become more common. Therefore, it’s beneficial to be comfortable working in teams and in environments where AI is used.
7. Understand and Leverage AI: Even if you’re not a tech specialist, understanding how AI can impact your field and how it can be leveraged to improve efficiency or outcomes can make you a more valuable employee.
In summary, success in an AI-driven world is likely to be defined by a combination of technical skills, soft skills, an understanding of ethical considerations, adaptability, and a commitment to lifelong learning.
Q: As AI becomes more prevalent, what job skills will be in greatest demand?
ChatGPT: As AI becomes more prevalent, both technical and non-technical skills will be in high demand. Below are some of the specific skills that are likely to be highly sought after:
1. AI and Machine Learning Skills: These skills include understanding AI concepts, programming languages (such as Python, Java, or R), statistics, data analysis, and the ability to develop and maintain AI systems.
2. Data Analysis and Data Science Skills: As AI and machine learning often depend on large datasets, people with skills in data analysis, data visualization, and interpreting complex datasets will be needed.
3. Cybersecurity Skills: As more data gets digitized and more processes are controlled by AI, the demand for cybersecurity professionals will increase to ensure data integrity and system security.
4. Cloud and Distributed Computing: Cloud platforms like AWS, Google Cloud, and Microsoft Azure are often used for developing and deploying AI systems, so skills in these areas are beneficial.
5. Ethical and Legal Compliance: There will be a demand for professionals who can navigate the ethical, legal, and social implications of AI, ensuring responsible and fair use of these technologies.
6. Soft Skills: While not specific to AI, skills like critical thinking, creativity, emotional intelligence, adaptability, and complex problem-solving will continue to be valuable as they are harder to automate and are crucial for most roles.
7. Digital Literacy and Digital Transformation: Understanding how to navigate the digital landscape and how to leverage technology to transform business processes will be important in an AI-driven world.
8. Project Management: Implementing AI solutions requires strong project management skills to oversee projects from conception to completion, manage teams, and ensure effective communication among stakeholders.
9. Robotics: As AI finds its way into physical systems, skills in robotics including design, maintenance, and programming will be needed.
10. Sales and Marketing Skills: As AI creates new products and services, there will be a demand for professionals who can sell these services and understand how to market them effectively.
These skills highlight that while AI may automate certain tasks, it also creates a wide range of opportunities for those who are able to leverage its capabilities. The key will be to continually learn and adapt to changes in the technology landscape.
Q: What skills and jobs will be least affected by artificial intelligence?
ChatGPT: While it’s challenging to predict with certainty, jobs and skills that involve a high degree of human interaction, creativity, strategic decision-making, and complex problem-solving are generally considered less susceptible to automation. Here are some examples:
1. Healthcare Practitioners: While AI can assist in diagnosing diseases or managing patient data, healthcare jobs such as doctors, nurses, and therapists require a high degree of human interaction, empathy, and decision-making skills that are currently difficult to automate.
2. Education Professionals: Teachers, tutors, and other education professionals use their knowledge, creativity, and emotional intelligence to engage with students in ways that are challenging for AI to replicate.
3. Creative Professionals: Jobs in arts, music, writing, and design are considered safe from automation because they involve a high degree of creativity, original thought, and personal expression that AI cannot easily mimic.
4. Senior Business Leaders and Managers: These roles often involve strategic decision-making, complex problem-solving, negotiation, and leadership skills, all of which are difficult to automate.
5. Social Workers and Psychologists: These professions involve deep understanding of human emotions, empathy, and the ability to help people navigate complex personal issues - skills that are far from being automated.
6. Research Scientists: While AI can aid in data analysis, the formulation of hypotheses, experimentation, and interpretation of results still heavily rely on human intuition and expertise.
7. Skilled Tradespeople: Electricians, plumbers, carpenters, and other skilled tradespeople perform tasks that require complex physical dexterity and problem-solving in diverse, real-world environments, which are challenging to automate.
8. Legal Professionals: While AI can help automate some tasks like legal document review, other aspects like courtroom argument, negotiation, or legal counselling require human skills.
The key to these roles is the combination of complex decision-making, creativity, emotional intelligence, and specialized knowledge or physical skills. While AI will certainly change aspects of these jobs, the core of what makes them valuable is unlikely to be automated in the near future. However, as AI advances, these roles may continue to evolve and potentially incorporate more AI tools. Thus, even in these professions, a basic understanding of AI and its capabilities could be beneficial. | 23 months ago | Fierce Electronics | data:image/jpeg;base64,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 | 32 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Study finds ChatGPT boosts worker productivity for some writing tasks | https://news.mit.edu/2023/study-finds-chatgpt-boosts-worker-productivity-writing-0714 | Amid a huge amount of hype around generative AI, a new study from researchers at MIT sheds light on the technology's impact on work,... | Study finds ChatGPT boosts worker productivity for some writing tasks
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
Zach Winn | MIT News Office
Publication Date:
July 14, 2023
Amid a huge amount of hype around generative AI, a new study from researchers at MIT sheds light on the technology’s impact on work, finding that it increased productivity for workers assigned tasks like writing cover letters, delicate emails, and cost-benefit analyses.
The tasks in the study weren’t quite replicas of real work: They didn’t require precise factual accuracy or context about things like a company’s goals or a customer’s preferences. Still, a number of the study’s participants said the assignments were similar to things they’d written in their real jobs — and the benefits were substantial. Access to the assistive chatbot ChatGPT decreased the time it took workers to complete the tasks by 40 percent, and output quality, as measured by independent evaluators, rose by 18 percent.
The researchers hope the study helps people understand the impact that AI tools like ChatGPT can have on the workforce.
“What we can say for sure is generative AI is going to have a big effect on white collar work,” says Shakked Noy, a PhD student in MIT’s Department of Economics, who co-authored the paper with fellow PhD student Whitney Zhang ’21. “I think what our study shows is that this kind of technology has important applications in white collar work. It’s a useful technology. But it’s still too early to tell if it will be good or bad, or how exactly it’s going to cause society to adjust.”
For centuries, people have worried that new technological advancements would lead to mass automation and job loss. But new technologies also create new jobs, and when they increase worker productivity, they can have a net positive effect on the economy.
“Productivity is front of mind for economists when thinking of new technological developments,” Noy says. “The classical view in economics is that the most important thing that technological advancement does is raise productivity, in the sense of letting us produce economic output more efficiently.”
To study generative AI’s effect on worker productivity, the researchers gave 453 college-educated marketers, grant writers, consultants, data analysts, human resource professionals, and managers two writing tasks specific to their occupation. The 20- to 30-minute tasks included writing cover letters for grant applications, emails about organizational restructuring, and plans for analyses helping a company decide which customers to send push notifications to based on given customer data. Experienced professionals in the same occupations as each participant evaluated each submission as if they were encountering it in a work setting. Evaluators did not know which submissions were created with the help of ChatGPT.
Half of participants were given access to the chatbot ChatGPT-3.5, developed by the company OpenAI, for the second assignment. Those users finished tasks 11 minutes faster than the control group, while their average quality evaluations increased by 18 percent.
The data also showed that performance inequality between workers decreased, meaning workers who received a lower grade in the first task benefitted more from using ChatGPT for the second task.
The researchers say the tasks were broadly representative of assignments such professionals see in their real jobs, but they noted a number of limitations. Because they were using anonymous participants, the researchers couldn’t require contextual knowledge about a specific company or customer. They also had to give explicit instructions for each assignment, whereas real-world tasks may be more open-ended. Additionally, the researchers didn’t think it was feasible to hire fact-checkers to evaluate the accuracy of the outputs. Accuracy is a major problem for today’s generative AI technologies.
The researchers said those limitations could lessen ChatGPT’s productivity-boosting potential in the real world. Still, they believe the results show the technology’s promise — an idea supported by another of the study’s findings: Workers exposed to ChatGPT during the experiment were twice as likely to report using it in their real job two weeks after the experiment.
“The experiment demonstrates that it does bring significant speed benefits, even if those speed benefits are lesser in the real world because you need to spend time fact-checking and writing the prompts,” Noy says.
The study offered a close-up look at the impact that tools like ChatGPT can have on certain writing tasks. But extrapolating that impact out to understand generative AI’s effect on the economy is more difficult. That’s what the researchers hope to work on next.
“There are so many other factors that are going to affect wages, employment, and shifts across sectors that would require pieces of evidence that aren’t in our paper,” Zhang says. “But the magnitude of time saved and quality increases are very large in our paper, so it does seem like this is pretty revolutionary, at least for certain types of work.”
Both researchers agree that, even if it’s accepted that ChatGPT will increase many workers’ productivity, much work remains to be done to figure out how society should respond to generative AI’s proliferation.
“The policy needed to adjust to these technologies can be very different depending on what future research finds,” Zhang says. “If we think this will boost wages for lower-paid workers, that’s a very different implication than if it’s going to increase wage inequality by boosting the wages of already high earners. I think there’s a lot of downstream economic and political effects that are important to pin down.” | 23 months ago | MIT News | data:image/jpeg;base64,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 | 34 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Generative AI could free up 1/3 of your working hours. These 13 sectors will be most impacted | https://www.fastcompany.com/90928104/chatgpt-impact-jobs-2013-industries-generative-ai-mckinsey-report | A new report from the McKinsey Global Institute explores how generative AI tools like ChatGPT may affect employment and work in America by 2030. | BY Michael GrothausThe McKinsey Global Institute has just released a report
in which it explores, among other things, how generative AI technologies
like ChatGPT may affect employment and work in America by 2030.The report
will be a relief to many as it suggests that generative AI will likely not
steal most jobs—but rather it will assist employees with more mundane tasks
so they can focus on more interesting and important areas of their work.
This is most likely the case for a number of professions, the report found.
And in those professions, generative AI could do the activities that now
account for about 30% of the hours worked across the country.Specifically,
McKinsey’s report says that jobs in the following sectors could see workers
have 20% to 30% of their time freed by generative AI, leaving them to do
other tasks:Protective servicesComputer engineers Lawyers and
judgesBusiness and financial specialists Account managersGaming
entertainment workersMath specialistsEngineers Entertainers and media
workersPostsecondary teachersCommunity and social workersSchool
teachersBuilding engineersMcKinsey’s report gives a few examples of just
how generative AI could free up time by taking over more mundane tasks for
some of the sectors above. Subscribe to the Daily newsletter.Fast Company's
trending stories delivered to you every dayPrivacy Policy|Fast Company
NewslettersadvertisementFor lawyers, McKinsey says AI could search through
case law looking for precedents, which gives the lawyers themselves more
time to dedicate to how to apply them in legal arguments. Civil engineers
can accelerate the design process by using generative AI to take building
codes into account for their designs. This could lead to civil engineers
making fewer errors and spending less time reworking their plans.It’s for
reasons like this that generative AI is likely to change the way people
work, not replace them entirely, the report says.“It is important to note
that automation adoption is not the same as eliminating jobs,” the report
reads. “Many jobs with some automatable tasks will remain, but the
day-to-day nature of what people do and how they do it changes. In fact,
employment demand should continue to rise in many occupations most exposed
to generative AI, although perhaps at a slower rate.”The final deadline for
Fast Company’s Next Big Things in Tech Awards is Friday, June 20, at 11:59
p.m. PT. Apply today.ABOUT THE AUTHORMichael Grothaus is a novelist and
author. His latest novel, BEAUTIFUL SHINING PEOPLE, has been translated
into multiple languages MoreExplore Topicsfuture of workGenerative AInews | 22 months ago | Fast Company | data:image/jpeg;base64,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 | 35 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
ChatGPT's impact is already showing up in job postings —with six-figure implications | https://www.bizjournals.com/bizjournals/news/2023/05/22/chatgpt-ai-jobs-salary-pay-indeed-linkedin.html | 91% of companies that are hiring want workers with ChatGPT experience. About 30% of those say their need for ChatGPT experience is “very urgent.” | ## Headline
ChatGPT's impact is already showing up in job postings —with six-figure implications
## Subhead
None
## Author(s)
Andy Medici – Senior Reporter, The Playbook, The Business Journals
## Publication date
May 22, 2023
## Main text of the article
The rush to embrace ChatGPT is showing up in job postings.
zhuweiyi49 via Getty Images
As companies scramble to get ahead of changes driven by artificial intelligence tools like ChatGPT, their urgency is showing up in job postings. For some, it could mean six figures. | 24 months ago | The Business Journals | data:image/jpeg;base64,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 | 36 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Effects of ChatGPT’s AI capabilities and human-like traits on spreading information in work environments | https://www.nature.com/articles/s41598-024-57977-0 | When we turn to satisfaction, the study revealed that the human-like personality of ChatGPT also positively impacts user satisfaction. This... |
Effects of ChatGPT’s AI capabilities and human-like traits on spreading information in work environments
Hyeon Jo and Do-Hyung Park
02 April 2024
The article discusses the effects of ChatGPT's AI capabilities and human-like traits on spreading information in work environments, delving into its role in the workplace, features, and influence on knowledge processes, satisfaction, and word-of-mouth among office workers. | 14 months ago | Nature | data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHgAAABCCAMAAACrW+IrAAAAaVBMVEX////s7Oz39/fw8PDo6Oj09PTZ2dn6+vrc3Nzf39/Q0NDl5eXi4uLNzc3W1ta7u7u0tLTHx8eurq6hoaGnp6eYmJiRkZGCgoLBwcGLi4t7e3tsbGx1dXVjY2MkJCQZGRlPT089PT0AAAC5zTl2AAAJwUlEQVRYhZ1Zi6KbOA7FbxvwEwPOvd2Znf3/j1zJBpIQcpuO21ICtmXJ0tGx6AjnhBBGBrhwuOxtgMfwqj4Z60V1ZGD1IVwJx/61J6/D2lgODaaBLnhHSNc5BrfYu/bYhsDsndAdoySM3dZU6axU3WsTtBPcQoeO9rCE+izygV10PRoIZmV4eCAHY/b5pq+v9fY1z79u87Q4f5uH7xu9Fkzjsqy32/q1rvP8zfIcbIDb+KPg73ldoP1nvq3d10pyvn0tuFrGR/hj9GI4GQfKRsKEvJqEgcZsHEY9DAM3bjYdGFQ5sNrVMg/BhBs+BDLCdegk6UYcvr37rIHGP5r1jWD+7t3jZBQ0N1JrM4iLjpeCFRu1ltLokV04BrlUjA5G62MyZn3w1mlwSSNtgfvTkAuNdQwh9hKtJ3u4L+c9ehVMbEAxhm+TuVSG561SPCb7k2DhkzythOnknx6dBdtUDo+oDpZd++EIhsvRTK6hQCk+PAkuAbeD8H0Sti/Hw6VT6kIwmWooCcHpUCdjeX+VY5nynKd5F1Hje5qszgrj+D5JauH4K04+BZ8XP4U010dD7or3uZp9eBTMU/tf6q8wz/gi36eDAWlK0R6+iO9iZOWLPWmsNxMVH72HXZt9yvM2sdNWpWmJZ42nXfEcfQ7wQvgHC579xxYtjZFm1L2T1klsOv11e3V7d9zdRug/GuhppYx1iDR/ryecEY8a++jG0Md496rQ70um6jA1VW4DPum17olzLkmrN58m0zH6vveg4Hx/7ErEF+ZQOYWQfV6now8sQW8w/mjqfp3aIvLkwchLWNJkb00lOneHbg+m1n/Fu8qTXepkOm2vGSl0hASy4ToLPVw3WGd351LZdjfXdOfMGkxvwtAaKC6pbtxXyA/BtDduCQdogNvVe1qCPO8a1d4LRZkQxG2C95CBnbhlk+ILHHKbLHQT+1YdkClAg/8Oygd9oMU2mZIleSchRUAbpcNf0Gecsg8Fh91NzfAXAgWICQhCOATShg0JoqHMZZ72Je2mxiGcVzE+FScHwh7dWAy6t7FE2+vdWNxZE31d8K5xlWt2+xDAV1uKtVLzChrgwD6M/ZNghiY7HFaMKObD7ETtrvGAvkvdb/oDvbibmuMQcw7UD1Od6kkNp+Zp7oqiPLXWo2rM6yr7c4+Pc2xkIFjW2GLmd503myADGWvnF9/9XLCIQm1o8rL6i6ZREoRlbInhldR8zECYkqEte/hkjHJ1ctkkXuzN59RHuVgNrT5RuHmTcKSF0/j6/g9MrahBZ3Xvyd1T66tfkO32XwumESETIuO3obQ3zvstH/MrxvehYNE3rGbuU7mQcsQGIJd787NgpUTbJLcDyOh/HPDQ+mFoAPKCHWfBzEEqDkAWY+82nxtTLjFUzNsg0yr74KHKWBuRgsTemvYcCFpF5Z52fc1O6tpGe5KwPkXIiEJQIeB0gfgPlh0sJuianppgCfPukg1mEsD7OoQMiP8GWeAUolG9qkALGr9xxipYhDCcI01xj/lT0U7X9NxMXberx3juc/+CRqJPLvYhTL5ta4QT5jtnRMEuXS9KeSQNGpTSI60sc0sxQFFyTQNOVj4Mq9aqEWMzqZZ+6+RwrrSXU1fB8r2/9BE3armNeYItFDtIs2lpBvqOUw63eV7T5NeNMM0Q8ttwIql5h+tsJ3vFLXKI2o2uTzJk1twrAAbAgXmyCTg43VYvmNsiUzvjYIwuMq5le8vSYdyh698qRTra3sU1rMDK/VTWcJumZkqgt9I5OMZpY3sZLPxwToZ/loN+dejHeHP3ka+Hyfu3+AoKpTpGEGqAYI2CDJoB62uv09FRqDt7BG/fXkPswVL7PAOx34ZYfQQc6dxbjRHKp3foq8K9jiCUPJCPrFMzpw85pZziLZewnfF0uMM5k0r/sMcdTfFKtHLpIXcJchCtrkxw8GvLGMSOBG1JYSK913FLoA6Ovz8IBoQK/nTmFLoE/fTA7rwaQQmzRrLPwa+4DVGVafLZttnA+IReFjbukImCQrRwNJcVBc8L6YDCtCe038UBroVKSis7DcHixhjII4VjuaMSUvIjcu1LZoQPWJ+6KiuUjd6KZz8VWLTCktYZxoAmuYbV1479KQMZxyaYfZwWdc9YpV2/zU4/NeUQq4mQkbBW2YPjA9nu8QJmqrf1vj2ccLfQBf9FPj6aUwLN/zY4utfNMQIPmmjRS3Z4UVi66qUxO3XubdXqYiWwJ2ZsW3kVUp9pbGs+LpqRcQRXGvgwcMLbbfXH9hirdnA/YGE1as4F13V+csEyP3IuZGtCwClmP+1WHxbbysXVgYbqOjlvyl7s8kca42hmlYhrhsj1OX9PfVpSAALiV/WdLvarUngsG1cUEq++8Ylg4DuQY4EISDEXLM2lEspSEKDGEEkJryo3Cg+TE+GOdfypYEQA4sCgf1BEbbat9LYeqM/AKV4mU/S+Nio41sxtPeL+UL19yMUdFvvVHkCNV1ed5Rk4H4pmCLcF6S3QgYgS+ex9SGxAnO6eK3ublL74VCtsHjJzPUv6BXJE/1wRqMxl9y/mkA+nXXCfgmP3RVEBZDUy0kdgzJ1D8GdnwSykyO8erQSPKZABuFAK20x7SRGrMSOOHkMqo6DbosCY+SLQOp6RUxgaW+3j2dQi+4soojGzB+2Oqo8Cyf/r5NTfx2C/pJGW+mg09a4fLeeRO8xmfILNsYwSeq7e6soQVU7MRNmbvku+lRyQ9x5A9VCht71dn/ILGMCj1nr6trdYpjVmP01AV7+wGw2udF+rXWr19i6YhabIPAOvzcvs3bzkrcCZyEEgHkqK5p+Nziixv1N1EuDjGOSCdyQTwXtPqlUKaAYEIWf65FzlADxOlRogEuBos/OzL1gkhWONoIaKgeIPqgJpa+2Ct1hoPgTXRSQGx0OGx5a9xUPYk3PFTbC3GH/wh3JzuEkeo/VxHMbRwl8tgXfL8VfaSeg0L2HOuA1+H6KX8Cul6ZZvu7HYA719NPW+/KWsS57DnG5Tvm3PkqDrmmffTH3PBXlzLIh6DHycLGy7zrz1hrg42g1aTbp74cm5WsS4Lsoxwr/Sy1hVUkECK0OVu9PnH5WfAKj+6MMVodHhsbZ9Qi4WygWQsZgen54+hnj/8Kv1Uzr5/WRd29CX9EwPXyCTlBTd47lexlSemcL5KwysK+7128NhKHchAfgVBLRg+Rkfr7CamIJjCgBtDsW85PaLD15E4tcTOOCdJlPYzuN3wW9o0tshb760ISK/Zqe37QWrP2j8B4bTCCleWf0Yvd0O+2PCtm/UHL+8tk7k4c0xlh/9d6rLkSAN2xdt/BBev4aTSv/J/wEhXGo2J9tnvwAAAABJRU5ErkJggg== | 37 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Generative A.I.’s Biggest Impact Will Be in Banking and Tech, Report Says (Published 2024) | https://www.nytimes.com/2024/02/01/business/ai-impact-jobs.html | new research suggests that generative A.I. — the kind used in chatbots like OpenAI's ChatGPT — will have its biggest impact on white-collar... | A new generation of artificial intelligence is poised to turn old assumptions about technology on their head.
For years, people working in warehouses or fast food restaurants worried that automation could eliminate their jobs. But new research suggests that generative A.I. — the kind used in chatbots like OpenAI’s ChatGPT — will have its biggest impact on white-collar workers with high-paying jobs in industries like banking and tech.
A report published Thursday by the Burning Glass Institute, a nonprofit research center, and SHRM, formerly the Society for Human Resource Management, stops short of saying the technology will do away with large numbers of jobs. But it makes clear that workers need to better prepare for a future in which A.I. could play a significant role in many workplaces that until now have been largely untouched by technological disruption.
For people in tech, it means they may be building their A.I. replacements.
“There’s no question the workers who will be impacted most are those with college degrees, and those are the people who always thought they were safe,” said Matt Sigelman, president of the Burning Glass Institute.
For hundreds of corporations, the researchers estimated the share of payroll spending that goes to workers employed in the 200 occupations most likely to be affected by generative A.I. Many of those jobs are held by affluent college graduates, including business analysts, marketing managers, software developers, database administrators, project managers and lawyers.
Companies in finance, including Goldman Sachs, JPMorgan Chase and Morgan Stanley, have some of the highest percentages of their payrolls likely to be disrupted by generative A.I. Not far behind are tech giants like Google, Microsoft and Meta.
Getting A.I. to do human work could result in big savings for those companies. The research estimates that banks and some tech companies spend 60 to 80 percent of their payrolls, or more, on workers in occupations most likely to be affected by the new technology.
The retail, restaurant and transportation industries are least likely to be affected by generative A.I., the report found. Companies like Walmart, McDonald’s and Delta Air Lines mostly employ workers without college degrees who perform roles like helping customers, stocking shelves, cooking food and handling baggage. They spend less than 20 percent of their payrolls on employees in occupations most likely to be affected by generative A.I.
The report doesn’t predict potential job losses related to generative A.I. That will be up to employers, the report said, and whether they want to bank the savings from A.I. automation or use that money to invest and grow, adding more workers. Most experts expect that A.I. will mostly change jobs for the next few years rather than eliminate them — though that could change if the technology improves sharply.
Editors’ Picks
Mysterious Ancient Humans Now Have a Face
Why Was Justin Bieber Fighting With Paparazzi?
Leonard Lauder, a Consummate New Yorker
The report highlights the need for increased training to prepare workers to adapt to a fast-arriving technology, said Johnny C. Taylor Jr., chief executive of SHRM.
“Corporations and governments are going to have to seriously invest to get ahead of this,” he said.
Image
A view of a table of customers through a window that has the words “pizzeria” and “tavern” painted on it.
Retail, restaurants and transportation are at the bottom of the list of industries expected to be affected by generative A.I.Credit...Amir Hamja/The New York Times
The report is the latest entry in a growing field of work trying to predict the effect of generative A.I. on the economy and the workplace. Other studies have forecast a surge in economic growth and productivity, automating activities that add up to the equivalent of millions of jobs, and time savings of up to 50 percent for routine office and coding tasks.
In its research, the Burning Glass Institute started with the estimates of generative A.I. exposure by occupation in a widely cited academic paper that was published last year. It then added its own data sets — including job listings, payroll information, government statistics and corporate disclosures — for the company-by-company calculations. The SHRM report includes a ranking of selected companies. The Burning Glass Institute did the percentage estimates of the payroll spending by company for The New York Times.
Manav Raj, a co-author of the academic paper that the Burning Glass Institute relied on, said the new research appeared to be a credible effort to parse company-level data. But at this stage, he said, all the studies are educated guesses.
“The many papers out there generally conclude that this wave of A.I. has the potential to have a very large effect,” said Mr. Raj, an assistant professor of management at the Wharton School of the University of Pennsylvania. “But it’s going to take some time to find out what that effect really looks like.” | 16 months ago | The New York Times | data:image/jpeg;base64,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 | 38 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
What is AI, and how do programmes like ChatGPT and DeepSeek work? | https://www.bbc.com/news/technology-65855333 | AI is transforming modern life, but some critics worry about its potential misuse and environmental impact. | What is AI, and how do programmes like ChatGPT and DeepSeek work?
18 February 2025
Artificial intelligence (AI) has increasingly become part of everyday life over the past decade.
It is used for everything from personalising social media feeds to powering medical breakthroughs.
But as big tech firms and governments vie to be at the forefront of AI's development, critics have expressed caution over its potential misuse, ethical complexities and environmental impact.
What is AI and what is it used for?
AI allows computers to learn and solve problems in ways that can seem human.
Computers cannot think, empathise or reason.
However, scientists have developed systems that can perform tasks which usually require human intelligence, trying to replicate how people acquire and use knowledge.
AI programmes can process large amounts of data, identify patterns and follow detailed instructions about what to do with that information.
This could be trying to anticipate what product an online shopper might buy, based on previous purchases, in order to recommend items.
The technology is also behind voice-controlled virtual assistants like Apple's Siri and Amazon's Alexa, and is being used to develop systems for self-driving cars.
AI also helps social platforms like Facebook, TikTok and X decide what posts to show users.
Streaming services Spotify and Deezer use AI to suggest music.
Scientists are also using AI as a way to help spot cancers, speed up diagnoses and identify new medicines.
Computer vision, a form of AI that enables computers to detect objects or people in images, is being used by radiographers to help them review X-ray results.
What are generative AI programs like ChatGPT, DeepSeek and Midjourney?
Generative AI is used to create new content which can feel like it has been made by a human.
It does this by learning from vast quantities of existing data such as online text and images.
ChatGPT and Chinese rival DeepSeek's chatbot are two widely-used generative AI tools.
Midjourney can create images from simple text prompts.
So-called chatbots such as Google's Gemini or Meta AI can hold text conversations with users.
Generative AI can also be used to make high-quality videos and music.
Songs mimicking the style or sound of famous musicians have gone viral, sometimes leaving fans confused about their authenticity.
Why is AI controversial?
While acknowledging AI's potential, some experts are worried about the implications of its rapid growth.
The International Monetary Fund (IMF) has warned AI could affect nearly 40% of jobs, and worsen financial inequality.
Prof Geoffrey Hinton, a computer scientist regarded as one of the "godfathers" of AI development, has expressed concern that powerful AI systems could even make humans extinct - a fear dismissed by his fellow "AI godfather", Yann LeCun.
Critics also highlight the tech's potential to reproduce biased information, or discriminate against some social groups.
This is because much of the data used to train AI comes from public material, including social media posts or comments, which can reflect biases such as sexism or racism.
And while AI programmes are growing more adept, they are still prone to errors.
Generative AI systems are known for their ability to "hallucinate" and assert falsehoods as fact.
Apple halted a new AI feature in January after it incorrectly summarised news app notifications.
The BBC complained about the feature after Apple's AI falsely told readers that Luigi Mangione - the man accused of killing UnitedHealthcare CEO Brian Thompson - had shot himself.
Google has also faced criticism over inaccurate answers produced by its AI search overviews.
This has added to concerns about the use of AI in schools and workplaces, where it is increasingly used to help summarise texts, write emails or essays and solve bugs in code.
There are worries about students using AI technology to "cheat" on assignments, or employees "smuggling" it into work.
Writers, musicians and artists have also pushed back against the technology, accusing AI developers of using their work to train systems without consent or compensation.
Billie Eilish was among 200 artists who called for an end to "predatory" use of AI in music in an open letter.
Thousands of creators - including Abba singer-songwriter Björn Ulvaeus, writers Ian Rankin and Joanne Harris and actress Julianne Moore - signed a statement in October 2024 calling AI a "major, unjust threat" to their livelihoods.
How does AI impact the environment?
It is not clear how much energy AI systems use, but some researchers estimate the industry as a whole could soon consume as much as the Netherlands.
Creating the powerful computer chips needed to run AI programmes also takes lots of power and water.
Demand for generative AI services has meant an increase in the number of data centres.
These huge halls - housing thousands of racks of computer servers - use substantial amounts of energy and require large volumes of water to keep them cool.
Some large tech companies have invested in ways to reduce or reuse the water needed, or have opted for alternative methods such as air-cooling.
However, some experts and activists fear that AI will worsen water supply problems.
The BBC was told in February that government plans to make the UK a "world leader" in AI could put already stretched supplies of drinking water under strain.
In September 2024, Google said it would reconsider proposals for a data centre in Chile, which has struggled with drought.
What rules are in place for AI?
Some governments have already introduced rules governing how AI operates.
The EU's Artificial Intelligence Act places controls on high risk systems used in areas such as education, healthcare, law enforcement or elections.
It bans some AI use altogether.
Generative AI developers in China are required to safeguard citizens' data, and promote transparency and accuracy of information.
But they are also bound by the country's strict censorship laws.
In the UK, Prime Minister Sir Keir Starmer has said the government "will test and understand AI before we regulate it".
Both the UK and US have AI Safety Institutes that aim to identify risks and evaluate advanced AI models.
In 2024 the two countries signed an agreement to collaborate on developing "robust" AI testing methods.
However, in February 2025, neither country signed an international AI declaration which pledged an open, inclusive and sustainable approach to the technology.
Several countries, including the UK, are also clamping down on use of AI systems to create deepfake nude imagery and child sexual abuse material. | 3 months ago | BBC | data:image/jpeg;base64,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 | 39 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
ChatGPT and AI's Augmented Impact on Creativity and Jobs | https://www.cmswire.com/digital-experience/chatgpt-and-generative-ai-just-another-tool-in-the-creative-toolchest/ | ChatGPT and generative AI will possibly eliminate some jobs, but it's more likely the technology will become part of the workflow of... | Headline: ChatGPT and Generative AI: Just Another Tool in the Creative Toolchest?
Subhead: None
Author: Allen Bernard
Publication date: March 15, 2023
Main text:
ChatGPT and generative AI will possibly eliminate some jobs, but it's more likely the technology will become part of the workflow of marketing agencies.
The Gist:
* Creative augmentation. ChatGPT is a step-change in the way creatives do their jobs in the future, not a replacement for them.
* AI-enhanced creativity. Generative AI speeds up the creative process and creates new job opportunities.
* AI’s potential. The limits of machine intelligence are still present, but the potential for AI to revolutionize the world is significant.
While the long-term impact of ChatGPT is hard to predict — if the past is prologue and as game-changing, unsettling and paradigm-shifting as its introduction has been — it’s likely just a step-change in the way creatives will do their jobs in the future, not a replacement for them.
As good and humanlike as it is, ChatGPT is still just a machine. And machines lack the essential human elements such as empathy, intuition and experience that go into understanding what makes good marketing effective and bad marketing, well, bad.
Augmenting, Not Eliminating Human Creativity
“Here's the thing about ChatGPT that I keep telling clients,” said Jared Kozel, executive creative director at Wunderman Thompson. “if you type in, ‘Tell me a story that makes me cry or makes me laugh’, right now, it's not there yet.”
What is happening today is similar to what has happened in the past when game-changing technologies like calculators, personal computers, word processors, search engines, virtual assistants and all of the other technologies that we take for granted today find mainstream adoption — they augment and change the way things get done but they do not automatically replace or eliminate the human in the loop, said Rowan Curran, Forrester’s lead analyst for large language model generative AI, which is the engine that drives ChatGPT.
“It’s not about totally automating everything,” he said. “It's about improving the overall way that we do these things. And that speaks of the effect it will have on the job market overall. As with any kind of new technology, some jobs will probably be reduced and some eliminated. On the other side, there'll be new jobs that are created as well.”
Generative AI Speeds Up the Creative Process and Creates New Job Opportunities
With the ability of ChatGPT to create almost endless iterations on a theme, Kozel anticipates that it will likely speed up the creative process. Clients will come to expect that, instead of a handful of options being presented to them after a few days or weeks, within a few hours they will be presented with far more and varied options.
“If we have one script that's approved by the client, the expectation might be that we then have 15 versions of it the next day,” said Kozel. “[ChatGPT] is like having a team of 1,000 writers that are looking for some direction on what to write. Ideas are not originating from that tool right now.”
This is not to say that automation does not eliminate jobs. It does. But that does not mean that people replaced by automation are simply left unemployed. Instead many of them will be doing different higher-value work. Automation and technological advancements also tend to create whole new classes of jobs for people to fill. Computer programmers, data scientists, digital marketers and SEO specialists all come to mind.
What's different today is that ChatGPT is not a robot on a factory floor. It represents a threat to a group of employees who have long considered themselves immune to the vicissitudes of technology. Far from being a demonstration model that makes for good YouTube videos such as Boston Dynamics dancing robots, ChatGPT is useful out of the box. It already is being used by millions of people to write better copy and create art in ways that were not possible before.
The Limits of Machine Intelligence
A good way to think about ChatGPT in its current form, said Arthur Germain, founder and owner of the marketing agency Brandtelling, is as a really good research librarian.
“If you went up to ChatGPT and said, ‘I'm looking for books and resources on this topic,’ it can help you but it’s not suddenly a nuclear physicist," Germain said. "It gets smart when it starts to ask questions. Like if I said I want to find out more about digital transformation and it could come back and say, ‘You know, digital transformation is a big subject, what aspect of it are you interested in?’ That's where human knowledge has yet to be replaced by a machine.”
According to Curran, this capability may not be all that far away. In the coming years we will see AI training data sets expand exponentially from billions to trillions of parameters. They will also be multimodal, incorporating audio, visual and, perhaps, even olfactory data.
“The hype is deserved,” he said. “That hype is a reflection of real world capability. Some people are saying, ‘ChatGPT ... completely changes the entire world overnight.’ No, I don’t think that that's the case. But is the world going to change in the next two, three years because of all this? I think so. Absolutely.” | 27 months ago | CMSWire.com | data:image/jpeg;base64,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 | 40 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Generative AI Could Affect 300 Million Full-Time Jobs, Goldman Sachs | https://www.businessinsider.com/generative-ai-chatpgt-300-million-full-time-jobs-goldman-sachs-2023-3 | AI systems like ChatGPT could impact 300 million full-time jobs worldwide, with administrative and legal roles some of the most at risk, Goldman Sachs report... | # AI systems like ChatGPT could impact 300 million full-time jobs worldwide, with administrative and legal roles some of the most at risk, Goldman Sachs report says
By Beatrice Nolan
Mar 28, 2023, 1:00 PM UTC
Generative artificial intelligence systems could lead to "significant disruption" in the labor market and affect around 300 million full-time jobs globally, according to new research from Goldman Sachs.
Generative AI, a type of artificial intelligence that is capable of generating text or other content in response to user prompts, has exploded in popularity in recent months following the launch to the public of OpenAI's ChatGPT. The buzzy chatbot quickly went viral with users and appeared to prompt several other tech companies to launch their own AI systems.
Based on an analysis of data on occupational tasks in both the US and Europe, Goldman researchers extrapolated their findings and estimated that generative AI could expose 300 million full-time jobs around the world to automation if it lives up to its promised capabilities.
The report, written by Joseph Briggs and Devesh Kodnani, said that roughly two-thirds of current jobs are exposed to some degree of AI automation while generative AI could substitute up to a quarter of current work.
White-collar workers are some of the most likely to be affected by new AI tools. The Goldman report highlighted US legal workers and administrative staff as particularly at risk from the new tech. An earlier study from researchers at Princeton University, the University of Pennsylvania, and New York University, also estimated legal services as the industry most likely to be affected by technology like ChatGPT.
Manav Raj, one of the authors of the study, and an Assistant Professor of Management at the Wharton School of the University of Pennsylvania, told Insider this was because the legal services industry was made up of a relatively small number of occupations that were already highly exposed to AI automation.
Goldman's report suggested that if generative AI is widely implemented, it could lead to significant labor cost savings and new job creation. The current hype around AI has already given rise to new roles, including prompt engineers, a job that includes writing text instead of code to test AI chatbots.
The new tech could also boost global labor productivity, with Goldman estimating that AI could even eventually increase annual global GDP by 7%. | 26 months ago | Business Insider | data:image/jpeg;base64,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 | 41 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
How will AI change work? A look back at the 'productivity paradox' of the computer age shows it won't be so simple | https://fortune.com/2023/06/25/ai-effect-jobs-remote-work-productivity-paradox-computers-iphone-chatgpt/ | How will AI change work? A look back at the 'productivity paradox' of the computer age shows it won't be so simple. | How will AI change work? A look back at the ‘productivity paradox’ of the computer age shows it won’t be so simple
BY Bhaskar Chakravorti
BY The Conversation
June 25, 2023 at 10:44 AM EDT
Computers and IT breakthroughs don't always make us more productive.
The explosion of interest in artificial intelligence has drawn attention not only to the astonishing capacity of algorithms to mimic humans but to the reality that these algorithms could displace many humans in their jobs. The economic and societal consequences could be nothing short of dramatic.
The route to this economic transformation is through the workplace. A widely circulated Goldman Sachs study anticipates that about two-thirds of current occupations over the next decade could be affected and a quarter to a half of the work people do now could be taken over by an algorithm. Up to 300 million jobs worldwide could be affected. The consulting firm McKinsey released its own study predicting an AI-powered boost of $4.4 trillion to the global economy every year.
The implications of such gigantic numbers are sobering, but how reliable are these predictions?
I lead a research program called Digital Planet that studies the impact of digital technologies on lives and livelihoods around the world and how this impact changes over time. A look at how previous waves of such digital technologies as personal computers and the internet affected workers offers some insight into AI’s potential impact in the years to come. But if the history of the future of work is any guide, we should be prepared for some surprises.
The IT revolution and the productivity paradox
A key metric for tracking the consequences of technology on the economy is growth in worker productivity – defined as how much output of work an employee can generate per hour. This seemingly dry statistic matters to every working individual, because it ties directly to how much a worker can expect to earn for every hour of work. Said another way, higher productivity is expected to lead to higher wages.
Generative AI products are capable of producing written, graphic and audio content or software programs with minimal human involvement. Professions such as advertising, entertainment and creative and analytical work could be among the first to feel the effects. Individuals in those fields may worry that companies will use generative AI to do jobs they once did, but economists see great potential to boost productivity of the workforce as a whole.
The Goldman Sachs study predicts productivity will grow by 1.5% per year because of the adoption of generative AI alone, which would be nearly double the rate from 2010 and 2018. McKinsey is even more aggressive, saying this technology and other forms of automation will usher in the “next productivity frontier,” pushing it as high as 3.3% a year by 2040.
That sort of productivity boost, which would approach rates of previous years, would be welcomed by both economists and, in theory, workers as well.
If we were to trace the 20th-century history of productivity growth in the U.S., it galloped along at about 3% annually from 1920 to 1970, lifting real wages and living standards. Interestingly, productivity growth slowed in the 1970s and 1980s, coinciding with the introduction of computers and early digital technologies. This “productivity paradox” was famously captured in a comment from MIT economist Bob Solow: You can see the computer age everywhere [but in the productivity statistics].
Digital technology skeptics blamed “unproductive” time spent on social media or shopping and argued that earlier transformations, such as the introductions of electricity or the internal combustion engine, had a bigger role in fundamentally altering the nature of work. Techno-optimists disagreed; they argued that new digital technologies needed time to translate into productivity growth, because other complementary changes would need to evolve in parallel. Yet others worried that productivity measures were not adequate in capturing the value of computers.
For a while, it seemed that the optimists would be vindicated. In the second half of the 1990s, around the time the World Wide Web emerged, productivity growth in the U.S. doubled, from 1.5% per year in the first half of that decade to 3% in the second. Again, there were disagreements about what was really going on, further muddying the waters as to whether the paradox had been resolved. Some argued that, indeed, the investments in digital technologies were finally paying off, while an alternative view was that managerial and technological innovations in a few key industries were the main drivers.
Regardless of the explanation, just as mysteriously as it began, that late 1990s surge was short-lived. So despite massive corporate investment in computers and the internet – changes that transformed the workplace – how much the economy and workers’ wages benefited from technology remained uncertain.
Early 2000s: New slump, new hype, new hopes
While the start of the 21st century coincided with the bursting of the so-called dot-com bubble, the year 2007 was marked by the arrival of another technology revolution: the Apple iPhone, which consumers bought by the millions and which companies deployed in countless ways. Yet labor productivity growth started stalling again in the mid-2000s, ticking up briefly in 2009 during the Great Recession, only to return to a slump from 2010 to 2019.
Throughout this new slump, techno-optimists were anticipating new winds of change. AI and automation were becoming all the rage and were expected to transform work and worker productivity. Beyond traditional industrial automation, drones and advanced robots, capital and talent were pouring into many would-be game-changing technologies, including autonomous vehicles, automated checkouts in grocery stores and even pizza-making robots. AI and automation were projected to push productivity growth above 2% annually in a decade, up from the 2010-2014 lows of 0.4%.
But before we could get there and gauge how these new technologies would ripple through the workplace, a new surprise hit: the COVID-19 pandemic.
The pandemic productivity push – then bust
Devastating as the pandemic was, worker productivity surged after it began in 2020; output per hour worked globally hit 4.9%, the highest recorded since data has been available.
Much of this steep rise was facilitated by technology: larger knowledge-intensive companies – inherently the more productive ones – switched to remote work, maintaining continuity through digital technologies such as videoconferencing and communications technologies such as Slack, and saving on commuting time and focusing on well-being.
While it was clear digital technologies helped boost productivity of knowledge workers, there was an accelerated shift to greater automation in many other sectors, as workers had to remain home for their own safety and comply with lockdowns. Companies in industries ranging from meat processing to operations in restaurants, retail and hospitality invested in automation, such as robots and automated order-processing and customer service, which helped boost their productivity.
But then there was yet another turn in the journey along the technology landscape.
The 2020-2021 surge in investments in the tech sector collapsed, as did the hype about autonomous vehicles and pizza-making robots. Other frothy promises, such as the metaverse’s revolutionizing remote work or training, also seemed to fade into the background.
In parallel, with little warning, “generative AI” burst onto the scene, with an even more direct potential to enhance productivity while affecting jobs – at massive scale. The hype cycle around new technology restarted.
Looking ahead: Social factors on technology’s arc
Given the number of plot twists thus far, what might we expect from here on out? Here are four issues for consideration.
First, the future of work is about more than just raw numbers of workers, the technical tools they use or the work they do; one should consider how AI affects factors such as workplace diversity and social inequities, which in turn have a profound impact on economic opportunity and workplace culture.
For example, while the broad shift toward remote work could help promote diversity with more flexible hiring, I see the increasing use of AI as likely to have the opposite effect. Black and Hispanic workers are overrepresented in the 30 occupations with the highest exposure to automation and underrepresented in the 30 occupations with the lowest exposure. While AI might help workers get more done in less time, and this increased productivity could increase wages of those employed, it could lead to a severe loss of wages for those whose jobs are displaced. A 2021 paper found that wage inequality tended to increase the most in countries in which companies already relied a lot on robots and that were quick to adopt the latest robotic technologies.
Second, as the post-COVID-19 workplace seeks a balance between in-person and remote working, the effects on productivity – and opinions on the subject – will remain uncertain and fluid. A 2022 study showed improved efficiencies for remote work as companies and employees grew more comfortable with work-from-home arrangements, but according to a separate 2023 study, managers and employees disagree about the impact: The former believe that remote working reduces productivity, while employees believe the opposite.
Third, society’s reaction to the spread of generative AI could greatly affect its course and ultimate impact. Analyses suggest that generative AI can boost worker productivity on specific jobs – for example, one 2023 study found the staggered introduction of a generative AI-based conversational assistant increased productivity of customer service personnel by 14%. Yet there are already concerns about the potential job displacement and wage impacts on workers, as well as concerns about workplace biases and inequities.
Fourth, it is critical for leaders and policymakers to get the sequence of investments right. Investing heavily in automation while delaying investments in worker upskilling and social safety nets has resulted in heightened economic and social tensions. We should not be repeating the same mistakes as we Enter the AI era. | 23 months ago | Fortune | data:image/jpeg;base64,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 | 42 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
ChatGPT could threaten 300 million jobs around the world | https://www.digitaltrends.com/computing/ai-chatgpt-300-million-jobs-at-risk/ | AI tools like ChatGPT could have a huge impact on job security, putting millions of jobs at risk. But there could be good news for workers... | ChatGPT could threaten 300 million jobs around the world
By Alex Blake
Published March 30, 2023
The meteoric rise of artificial intelligence (AI) tools like ChatGPT has fueled a wide range of fears, from an increase in undetectable propaganda to the spread of racist and discriminatory speech. Experts have also raised the alarm over possible job losses, and a new report lays out precisely how disastrous AI tools could be for employment.
According to Goldman Sachs, up to 300 million full-time jobs could be lost around the world as a result of the automation that ChatGPT and other AI tools could usher in. That’s as much as 18% of the global workforce.
The impact will be felt more keenly in advanced economies than in developing nations. That’s partly because much of the risk will be faced by white-collar workers compared to manual laborers. The professions most at risk include lawyers and administrative workers, while physically demanding work such as construction will fare better.
The situation appears worrying in the United States and Europe, where the report estimates roughly two-thirds of all work will face some form of automation, while up to a quarter of all jobs could be handled entirely by AI.
It isn’t all bleak. The report notes that since many jobs will be only partly impacted by AI, this work could be complemented by automation rather than being wholly replaced by it. Over the long term, the disruption caused by AI might help create new jobs and increase productivity in ways that other new technologies, like the electric motor and the personal computer, have done in the past.
That said, the report comes as over 1,000 scientists and business leaders signed an open letter calling on all development of AI models more advanced than GPT-4 to be paused for at least six months. This would allow the world to put safeguards in place to ensure the technology is used responsibly. | 26 months ago | Digital Trends | data:image/jpeg;base64,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 | 43 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
McKinsey’s A.I. Chief Discusses ChatGPT’s Impact on Consulting Jobs | https://observer.com/2023/06/mckinseys-a-i-chief-discusses-chatgpts-impact-on-consulting-jobs/ | McKinsey's AI chief Alex Singla: 'Problem-solving, creativity and change management' aren't replaced by technology. | McKinsey’s A.I. Chief Discusses ChatGPT’s Impact on Consulting Jobs
McKinsey's A.I. chief Alex Singla: 'Problem-solving, creativity and change management' aren’t replaced by technology.
By Sissi Cao • 06/07/23 1:36pm
Artificial intelligence is taking human jobs. Just last month, A.I. eliminated about 4,000 jobs in the U.S., according to a June 1 report by Challenger, Gray & Christmas. As the generative A.I. phenomenon spreads, it is only a matter of time before the technology replaces management consultants, the archetypal white-collar job of data analysis, information summarizing and PowerPoint-making. The things that A.I. tools like ChatGPT can do.
Large consulting firms are embracing the technology and adjusting their expectations for talent in the post-ChatGPT era. At McKinsey & Company, one of the world’s largest management consulting firms, about half of its 30,000 employees now use ChatGPT or similar tools in their work, said Ben Ellencweig, a senior partner at McKinsey, at a company event yesterday (June 6) in New York.
Generative A.I. is drastically changing the day-to-day activities of management consultants, especially at the entry-level. At McKinsey, a junior consultant’s first day typically entails what the firm calls “know,” or reading pages and pages of non-confidential information to learn about a certain industry or sector the firm serves.
“When I started at the firm, I’d spend an entire weekend just getting swamped reading document after document. Now A.I. models can synthesize the 10 key things you need to know within minutes. That’s a major, major shift,” Alex Singla, a senior partner at McKinsey and the global leader of QuantumBlack, the firm’s A.I. consulting branch, told Observer in an interview at yesterday’s event. Singla has been with the firm since 2000. He currently oversees more than 1,300 analytics experts across McKinsey under the QuantumBlack umbrella.
Singla is vaguely worried skipping the time-consuming part of actually reading and digesting raw information may eventually hinder one’s ability to synthesize complex data, which he said is “a skill people need to learn and a key strength of management consultants.” But there are many aspects of the job—at least at the senior level—that technology can’t yet replace.
“When I think about how I spend my day, the vast majority of it is helping senior executives think strategically about what they want to accomplish and how to make it happen,” Singla said. “It involves a lot of bringing people along and thinking about customers. It’s all these things around problem-solving, creativity and change management that you won’t get out of technology alone.”
“For any business, technology is usually not the real challenge, it’s the people component that slows things down,” he said. “That’s where I think management consulting still has a major role to play.”
Katy George, McKinsey’s chief people officer, expects generative A.I. to change how consulting firms recruit talent in the future.
“It’s become increasingly important for us to hire entry-level consultants who have digital acumen and comfort with analytics,” George told Observer in an interview yesterday, adding, “not just old-school problem-solving analytics but working with large data sets and data scientists.” She said McKinsey hasn’t added any A.I.-specific requirements to its hiring programs yet but the changes could come soon. | 24 months ago | Observer | data:image/jpeg;base64,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 | 44 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
How ChatGPT Could Impact Jobs in Financial Services Across Wall Street | https://www.businessinsider.com/how-chatgpt-could-be-used-on-wall-street-investing-dealmaking-2023-2 | ChatGPT could upend jobs across Wall Street. Here's how 6 areas of finance, from investment banking to wealth management, might be impacted. | ChatGPT could upend jobs across Wall Street. Here's how 6 areas of finance, from investment banking to wealth management, might be impacted.
By Bianca Chan and Paige Hagy
Feb 15, 2023, 2:16 PM UTC
ChatGPT could play a key role in several areas of finance.
Experts already expect ChatGPT and its underlying tech to be utilized as a productivity-enhancing tool in finance.
ChatGPT has the capacity eventually to replace humans in certain roles, according to some, but the realization rests in the customers' hands.
The product is "black-boxed," according to Charles Hearn, the chief technology officer at fintech Alloy, meaning the AI can present answers without being able to trace how it got to those answers.
But Dev Patnaik, CEO of strategy and innovation firm Jump Associates, said dismissing tools like ChatGPT so quickly is a mistake.
At Sweden private-equity giant EQT, ChatGPT is enhancing the firm's 7-year-old AI platform it built itself, according to Alexandra Lutz, who heads up EQT's AI-powered Motherbrain.
Insider spoke to five industry experts to get their take on how ChatGPT and its underlying tech could be applied to various sectors of financial services.
ChatGPT could be a powerful research tool within investment banking, KPMG's Roberts said.
Customer service chatbots are the most obvious candidates to be elevated by ChatGPT, Roberts suggested, as they can provide more empathetic and human-like interactions.
ChatGPT may also be used to power a pocket-sized financial manager to elevate personal finance and wealth management. | 28 months ago | Business Insider | data:image/jpeg;base64,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 | 45 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
ChatGPT provided better customer service than his staff. He fired them. | https://www.washingtonpost.com/technology/2023/10/03/ai-customer-service-jobs/ | Artificial intelligence chatbots will upend how call centers and customer service hotlines operate. Countries like India and the Philippines... | ChatGPT provided better customer service than his staff. He fired them.
Artificial intelligence is rapidly changing the world of customer service and call centers. Developing economies worry they’ll face the brunt.
October 3, 2023
By Pranshu Verma
Suumit Shah never liked his company’s customer service team. His agents gave generic responses to clients’ issues. Faced with difficult problems, they often sounded stumped, he said.
But when Shah saw that ChatGPT could respond to questions with intricate, lifelike responses, he knew it could fix the customer service hotline of his India-based e-commerce platform, Dukaan.
Shah used the software to improve his in-house customer service chatbot Lina, training it largely on his company’s help center content. In December 2022, he let the ChatGPT-powered bot field nearly all messages and found his customers were largely happy.
By June, he had fired 27 of his customer service agents and replaced them with Lina.
“It was [a] no-brainer for me to replace the entire team with a bot,” he said in an interview, “which is like 100 times smarter, who is instant, and who cost me like 100th of what I used to pay to the support team.”
Call centers, which started becoming popular in the late 1990s, provide cheap offshore labor to handle mundane corporate tasks for Western companies. Now, amid a larger wave of automation, this work is being outsourced once again: to artificial intelligence.
Backed by advanced technology, chatbots can interact directly with customers and solve problems independently — no human necessary.
Start-ups, banks and consumer goods corporations say the technology can help them cut costly customer service costs while providing clients with personalized service. They argue AI will give remaining call center workers more support, helping them feel fulfilled in their jobs.
But economists and workforce development experts say the shift could have a profound effect on economies across the world, especially in countries like India and the Philippines, where call centers provide millions of people with modest-paying work and where surveys have shown automation could render over a million jobs obsolete. The change is sparking a debate in the Global South about what, if anything, they can do to prevent a mass workforce disruption.
“You will … end up seeing a lot of jobs be eviscerated,” said Sharad Sharma, co-founder of the iSPIRT Foundation, an Indian nonprofit technology think tank. “And the fewer jobs that will remain will be different kinds of jobs.”
Outsourcing gained speed in the 1990s as global economies became more open and computers made it easier for work to be done anywhere. American companies, looking to control costs, began shipping jobs that were necessary — but not core — abroad, where cheap labor was in ample supply.
Countries such as India, with well-educated, English-speaking young workers, became a popular destination for these back-end jobs — most notably in customer service, information technology and data-processing roles.
The economic impacts were significant. In the early 2000s, Western companies employed just a few thousand people in the Philippines, but as of 2023 that number has ballooned to over 1.6 million, according to industry analyst figures. In India, outsourcing jobs now contributes to nearly 10 percent of the country’s gross domestic product, industry analysts said.
The emergence of generative artificial intelligence — technology that undergirds AI chatbots, image makers and voice-cloning software — threatens the industry. Customer issues are likely to be solved by software that can analyze millions of data points to find the most common solution to a problem, rather than human ingenuity.
In a September survey of more than 300 IT and call center leaders, 80 percent said conversational AI products will be a “must have” for their companies going forward, with 52 percent of polled firms reporting they had already invested in the technology.
The shift has countries who rely on call center work bracing for change, politicians, economists and workforce development experts said.
In May, Imee Marcos, a senator in the Philippines called for an inquiry into the potential displacement of workers by technology, especially in the country’s outsourcing sector. She noted an Oxford Economics and Cisco study, which estimated that digital automation could render 1.1 million jobs in her country obsolete by 2028.
“AI is developing faster than most people can comprehend,” she said in a news release, “and is threatening to take away jobs and turn employment growth upside down.”
In India, companies are already testing out how to replace customer service workers and call center agents with large language models, said Sharma, though he declined to disclose which companies he was aware of that were doing these kinds of tests.
He noted that with agents using AI to augment their work, the amount of workers needed to handle the same volume of calls will dwindle.
The effect to the economy will be undeniable, he said, and Indian outsourcing companies will need to adapt artificial intelligence into their operations quickly if they seek to keep jobs from going elsewhere. “India has to embrace augmentation faster than any other country,” Sharma said. “That is the conversation that is taking place.”
But AI and labor rights experts are torn on the impacts.
Erik Brynjolfsson, a professor at the Stanford Institute for Human-Centered AI, said automation could be a boon to the industry. As part of his research on AI’s impact on call centers, he found that many companies are augmenting their agents’ jobs with AI software instead of fully automating them.
Brynjolfsson said a suite of AI software tools help call center workers do their jobs better: transcription software analyzes call conversations in real-time and provides agents with ideal solutions; other tools identify angry customers and provides techniques to calm them down.
This support allows workers to tackle difficult problems with far more ease, he said, leading to higher customer satisfaction and lower worker turnover. In his study surveying more than 5,000 call center agents using artificial intelligence software, access to the tools increased productivity by 14 percent, with novice workers seeing the largest gains and highly experienced workers finding negligible improvement.
He said companies should take note of these findings. “Don’t look first to automate,” he added. “Think about where you can augment things.”
Virginia L. Doellgast, a labor relations professor at Cornell University, argued the technology will make jobs more difficult: Easy customer service problems will be handled by artificial intelligence chatbots, leaving more complicated issues for humans to deal with.
Remaining workers will deal with more difficult tasks that take longer to solve. If corporate compensation structures are tied to metrics, such as shorter call volume, they could be financially penalized.
If artificial intelligence makes it easier for novice workers to perform better, she said, that could also justify companies hiring less expensive, less experienced talent, leading to wage deflation across the industry and less satisfying customer service.
“Why would you need to hire a really experienced center worker who costs more money for their skills when you could get the same performance out of a less experienced one,” she said.
But for entrepreneurs like Shah, cost matters above all. After the success of his Dukaan chatbot, he created a spinoff product that allows others to transition to an all-AI-powered hotline.
Not every customer service employee should worry about being replaced, but those who simply copy and paste responses are no longer safe, according to Shah.
“That job is gone,” he said. “100 percent.” | 20 months ago | The Washington Post | data:image/jpeg;base64,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 | 46 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
ChatGPT could make these jobs obsolete: ‘The wolf is at the door’ | https://nypost.com/2023/01/25/chat-gpt-could-make-these-jobs-obsolete/ | AI programs such as ChatGPT are leaving many well-paid workers vulnerable, experts warn. | ChatGPT could make these jobs obsolete: ‘The wolf is at the door’
By Alex Mitchell
Published Jan. 25, 2023
Updated Jan. 27, 2023, 7:09 a.m. ET
Artificial intelligence is here, and it’s coming for your job. So promising are the tool’s capabilities that Microsoft has announced a “multiyear, multibillion-dollar investment” in the revolutionary technology, which is growing smarter by the day.
And the rise of machines leaves many well-paid workers vulnerable, experts warn.
“AI is replacing the white-collar workers. I don’t think anyone can stop that,” said Pengcheng Shi, an associate dean in the department of computing and information sciences at Rochester Institute of Technology.
“This is not crying wolf,” Shi told The Post. “The wolf is at the door.”
From the financial sector to health care to publishing, a number of industries are vulnerable, Shi said. But as AI continues its mind-blowing advancements, he maintains that humans will learn how to harness the technology.
Artificial intelligence is already at a point where it can do the jobs people are paid for. AI is already having an impact on multiple industries, professors warn.
Already, AI is upending certain fields, particularly after the release of ChatGPT, a surprisingly intelligent chatbot released in November that’s free to the public.
The rise of ChatGPT has left many experts warning of its potential to replace human workers in various industries, including education, finance, software engineering, and journalism.
In education, ChatGPT can easily teach classes already, and could potentially replace professors and teachers, especially at the middle or high school level.
In finance, AI like ChatGPT could take over spreadsheet-style jobs, and could potentially replace investment bankers and financial analysts.
In software engineering, relatively simple software design jobs are at risk of being made obsolete by AI.
In journalism, AI is already making its way into newsrooms, and could potentially replace copy editors and reporters, especially in tasks such as copy editing and summarizing articles.
However, experts note that while AI has the potential to replace some jobs, it also has the potential to augment human capabilities and create new job opportunities.
Overall, the rise of AI has significant implications for the job market, and workers will need to adapt to the changing landscape in order to remain relevant. | 28 months ago | New York Post | data:image/jpeg;base64,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 | 47 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Opinion | Type in your job to see how much AI will affect it | https://www.washingtonpost.com/opinions/interactive/2023/ai-artificial-intelligence-jobs-impact-research/ | Most jobs will be affected by artificial intelligence in one way or another, these changes won't affect all workers at the same rate or at the same time. | Type in your job to see how much AI will affect it
By Yan Wu and Sergio Peçanha
May 9 at 9:17 a.m.
Is AI coming for your job? If so, when?
Unfortunately, there are no clear-cut answers to these questions. Technology develops in unpredictable ways. But a paper published last month by three scholars — Princeton’s Edward W. Felten, Manav Raj of the University of Pennsylvania and Robert Seamans of New York University — offered some helpful insight, at least in terms of artificial intelligence as we now know it.
The team looked into two types of AI: One capable of generating and analyzing speech (think ChatGPT) and the other with the same capacity for images (think Midjourney). It examined dozens of skills that humans use to perform their jobs, from writing to reasoning to lifting heavy things, for the potential for artificial intelligence to enhance those skills or to supplant humans entirely.
The chart below provides an example of their analysis of professions related to art, design, entertainment, sports and media:
Researchers developed the AI Exposure score by connecting 10 AI applications to 52 human skills across approximately 800 professions.
Each dot in this chart represents a profession.
Orange dots show the potential impact of AI language models such as ChatGPT. Public relations specialists will probably be significantly affected by language models, dancers likely won’t.
Green dots show the potential impact of AI image generators. Interior designers probably will be greatly impacted by image models. Dancers, again, are likely to be least affected.
Language models are more likely to impact jobs that rely on communication and language skills. While image generators are more likely to alter professions that depend more on visual or spatial abilities. Many occupations may be affected by both.
Higher exposure doesn’t necessarily mean these workers will be replaced by machines, however. In some areas, artificial intelligence could give workers a productivity boost. In others, it could lead to automation and job loss. For example, while people in telemarketing are clearly vulnerable to chat bots, lawyers might use artificial intelligence to help them speed their work and get more done.
Now that you understand how this works, let’s see how artificial intelligence could affect your own profession.
Most researchers hesitate to predict the speed in which artificial intelligence will be implemented. NYU’s Seamans, who is an associate professor of management and organizations, believes that it will still take a lot of time for the effect to grow large. “Whereas in 2019 [Elon] [Musk was touting] driverless fleets of Tesla by 2020 (still doesn’t exist), Chris Urmson, who knows AVs (autonomous vehicles) very well, [was saying 30-50 years],” Seamans wrote in an email to us.
Although it is clear that most jobs will be affected by artificial intelligence in one way or another, these changes won’t affect all workers at the same rate or at the same time. This gives us a bit of leeway to address some important questions: If technology allows one worker to do the work of five, who reaps the financial windfall from that? What role should the government play in fairly distributing the wealth that is created? Should we be taking universal basic income more seriously now, ahead of the disruptions that we know are coming? What can we do to help people adapt, learn new skills and find new jobs? Who will pay for that?
This will not be the first time that new technology changes how we work, of course. From lamplighters to switchboard operators to video store clerks, professions have come and gone. We’ve adjusted.
But artificial intelligence sure looks like a monster of a disrupter — even [some of its lead creators] are warning of its danger. There is still time to tame AI. We should slow it down to give people a chance to adapt and ensure that it will be a technology that benefits everyone, not just those already at the top of the food chain.
Most jobs will be affected — but not at the same rate
Bottom line: Highly skilled, highly educated white-collar occupations, ranging from architects to astronomers to judges, are most likely to see change as a result of the development of artificial intelligence.
A recent study by researchers from OpenAI, the company behind ChatGPT, estimated that 80 percent of the U.S. workforce would have its work-related tasks at least 10 percent affected by language models. One in 5 would see at least half of daily tasks affected by artificial intelligence, the researchers found. In some cases, workers will need to learn new software that uses artificial intelligence to expedite their tasks and increase their productivity. Other jobs might go extinct entirely.
Workers in jobs that require manual tasks such as food prep, fishing and construction are less likely to be severely affected:
While jobs already done with the help of a computer might see more change. Highly skilled jobs, such as in engineering, software development, astronomy and law, are likely to experience more change than average:
How long until machines take over?
Most researchers hesitate to predict the speed in which artificial intelligence will be implemented.
Although it is clear that most jobs will be affected by artificial intelligence in one way or another, these changes won’t affect all workers at the same rate or at the same time.
There is still time to tame AI. We should slow it down to give people a chance to adapt and ensure that it will be a technology that benefits everyone, not just those already at the top of the food chain. | 25 months ago | The Washington Post | data:image/jpeg;base64,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 | 48 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
AI and the future of work: 5 experts on what ChatGPT, DALL-E and other AI tools mean for artists and knowledge workers | https://theconversation.com/ai-and-the-future-of-work-5-experts-on-what-chatgpt-dall-e-and-other-ai-tools-mean-for-artists-and-knowledge-workers-196783 | The Conversation asked five artificial intelligence researchers to discuss how large language models are likely to affect artists and knowledge workers. | AI and the future of work: 5 experts on what ChatGPT, DALL-E and other AI tools mean for artists and knowledge workers
Published: January 11, 2023 8:27am EST
Lynne Parker, University of Tennessee, Casey Greene, University of Colorado Anschutz Medical Campus, Daniel Acuña, University of Colorado Boulder, Kentaro Toyama, University of Michigan, Mark Finlayson, Florida International University
From steam power and electricity to computers and the internet, technological advancements have always disrupted labor markets, pushing out some jobs while creating others. Artificial intelligence remains something of a misnomer – the smartest computer systems still don’t actually know anything – but the technology has reached an inflection point where it’s poised to affect new classes of jobs: artists and knowledge workers.
Specifically, the emergence of large language models – AI systems that are trained on vast amounts of text – means computers can now produce human-sounding written language and convert descriptive phrases into realistic images. The Conversation asked five artificial intelligence researchers to discuss how large language models are likely to affect artists and knowledge workers. And, as our experts noted, the technology is far from perfect, which raises a host of issues – from misinformation to plagiarism – that affect human workers.
## Creativity for all – but loss of skills?
Lynne Parker, Associate Vice Chancellor, University of Tennessee
Large language models are making creativity and knowledge work accessible to all. Everyone with an internet connection can now use tools like ChatGPT or DALL-E 2 to express themselves and make sense of huge stores of information by, for example, producing text summaries.
Especially notable is the depth of humanlike expertise large language models display. In just minutes, novices can create illustrations for their business presentations, generate marketing pitches, get ideas to overcome writer’s block, or generate new computer code to perform specified functions, all at a level of quality typically attributed to human experts.
## Potential inaccuracies, biases and plagiarism
Daniel Acuña, Associate Professor of Computer Science, University of Colorado Boulder
I am a regular user of GitHub Copilot, a tool for helping people write computer code, and I’ve spent countless hours playing with ChatGPT and similar tools for AI-generated text. In my experience, these tools are good at exploring ideas that I haven’t thought about before.
## With humans surpassed, niche and ‘handmade’ jobs will remain
Kentaro Toyama, Professor of Community Information, University of Michigan
What’s happening with the emergence of AI tools like ChatGPT and DALL-E is a familiar story. It’s a story of technological progress, where machines replace human labor, and it’s a story we’ve seen many times before. As machines get better and better, they can take over more and more of the work that humans do.
## Old jobs will go, new jobs will emerge
Mark Finlayson, Associate Professor of Computer Science, Florida International University
As AI tools improve, some jobs will become obsolete, while new ones will emerge that we cannot yet anticipate. This is not a new phenomenon – it has happened with every technological advancement in history, from the steam engine to the internet.
## Leaps in technology lead to new skills
Casey Greene, Professor of Biomedical Informatics, University of Colorado Anschutz Medical Campus
The skills that are most valuable in a given era are often those that are complementary to the technologies that are available. As we develop more and more sophisticated AI tools, the skills that will be most valuable are those that are not easily replaceable by machines. | 29 months ago | The Conversation | data:image/jpeg;base64,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 | 49 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Generative AIs like ChatGPT could affect 300 million full-time jobs | https://www.techspot.com/news/98119-generative-ais-like-chatgpt-could-affect-300-million.html | According to research by bank Goldman Sachs, these systems could replace a quarter of work tasks in the US and Europe, the equivalent of 300 million jobs. | Generative AIs like ChatGPT could affect 300 million full-time jobs
GDP up, employment down
By Rob Thubron March 29, 2023 at 5:16 AM
A hot potato: The rise of generative AIs such as ChatGPT looks set to revolutionize many industries, but as with any type of automation, it comes at the cost of jobs. According to research by bank Goldman Sachs, these systems could replace a quarter of work tasks in the US and Europe, the equivalent of 300 million jobs.
There's a lot of excitement around the potential uses of generative AI. From Microsoft to Meta, companies are rushing to integrate these systems into their services. They're also putting many people at risk of being laid off, with administrative staff and lawyers most likely to be replaced.
Goldman Sachs' prediction that the likes of ChatGPT could affect 300 million jobs is a grim one. The bank does offer some good news, though, claiming that the generative AIs would cause a productivity boom that could raise annual global gross domestic product by 7% over a 10-year period.
A rise in GDP is unlikely to appease all the people ChatGPT makes unemployed, of course. Goldman Sachs admits that the technology could cause "significant disruption" across big economies. Joseph Briggs and Devesh Kodnani, the paper's authors, say nearly two-thirds of jobs in the US and Europe are exposed to some degree of AI automation.
Globally, 18% of work could be automated by AI, with developed countries impacted more than emerging markets.
A more optimistic part of the report predicts that around 63% of the US workforce will see 25% to 50% of their workload become automated and likely continue in their positions. The work done by generative AIs could give them extra time to focus on more productive tasks, like looking for another job where they're less likely to be fired. The paper states that those who work in physical or outdoor jobs such as construction and maintenance are unlikely to be impacted by generative AI, though they are at risk from other forms of automation.
About 7% of workers in jobs where generative AI could perform at least half their daily tasks are vulnerable to replacement.
Although the impact of AI will ultimately depend on its capability and adoption timeline, this estimate highlights the enormous economic potential of generative AI if it delivers on its promise, said Goldman Sachs.
OpenAI, the creator of ChatGPT, thinks generative AI could impact even more jobs than Goldman Sachs predicts. It wrote in a paper that 80% of the US workforce could see at least 10% of their tasks performed by these systems.
In addition to job losses, organizations including Europol and the UK's National Cyber Security Centre (NCSC) have warned of the criminal applications presented by generative AIs, from writing malware to creating mass phishing campaigns. | 26 months ago | TechSpot | data:image/jpeg;base64,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 | 50 | ChatGPT employment impact | 2025-06-17 14:03:23 | null |
Debunking the Myth: Will Robots Really Take Your Job? | https://www.azorobotics.com/Article.aspx?ArticleID=263 | The rise of robotics in the workforce poses challenges and opportunities, potentially displacing jobs while also fostering new roles in... | Debunking the Myth: Will Robots Really Take Your Job?
By Ankit Singh
Reviewed by Bethan Davies
Updated on Feb 6 2025
The conversation about robots replacing humans in the workforce isn’t a new one. It’s a topic that’s been discussed for decades, but with recent advancements in artificial intelligence (AI) and robotics, it’s more relevant than ever. As machines become smarter, more dexterous, and capable of performing tasks previously reserved for humans, it’s natural to ask: Could robots really replace us in the workforce? Will they steal our jobs or simply change the way we work?
The rise of robotics in the workforce is driven by advances in AI, machine learning, and automation technology. Many companies across different industries are jumping on the bandwagon, eager to use these tools to increase productivity and streamline operations. Robots have become essential on the assembly line, handling tasks like welding, assembling, and painting with incredible precision, cutting down errors and boosting production speed.
However, the question remains: Will robots take my job? The short answer is: it depends. Automation brings some incredible advantages, but it also raises important questions about job displacement, income inequality, and the future of work. One of the biggest concerns is job loss, particularly for low-skilled workers who are at risk of losing their jobs as robots take over routine, repetitive work.
To find the right balance between robots and humans, it’s essential to make sure workers are equipped with the right skills to thrive in a tech-driven world. Reskilling and upskilling programs are crucial to help workers transition into new roles. Governments and businesses can also work together to create ethical guidelines and regulations that ensure fair labor practices.
The future of work will likely involve a mix of human and robotic roles, with humans bringing the creativity and emotional intelligence that robots can’t replicate. By focusing on reskilling, creating new opportunities, and embracing collaboration between robots and humans, we can make sure the rise of automation benefits everyone, not just the machines. | 4 months ago | AZoRobotics | data:image/jpeg;base64,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 | 5 | robotics job displacement | 2025-06-17 14:03:28 | null |
China’s humanoid robots: Manufacturing revolution or worker displacement crisis? | https://techwireasia.com/2025/05/china-humanoid-robots-vs-manufacturing-workers/ | China invests $20+ billion in humanoid robots while promising manufacturing workers won't be replaced. | China’s humanoid robots: Manufacturing revolution or worker displacement crisis?
Dashveenjit Kaur
May 27, 2025
China’s manufacturing workers face uncertainty as humanoid robots receive $20+ bn investment.
Beijing promises collaboration with workers, rather than replacement.
Mass production targets of 10,000+ units by 2025 means change for China’s 123 million factory workers
China’s manufacturing heartland stands at a crossroads where metal and flesh compete for the same jobs. As Beijing pours over $20 billion into humanoid robots and promises manufacturing workers will complement rather than compete with these machines, a fundamental shift is taking place in the world’s factory floor. | 3 weeks ago | Tech Wire Asia | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAcAAACAgMBAQAAAAAAAAAAAAAGBwAFAwQIAQL/xAA8EAABAgQEAwYEAwYHAQAAAAABAgMABAURBhIhMRNBUQcUImFxgTKRobEVQlIjJILB4fE0U3JzktHwFv/EABkBAAMBAQEAAAAAAAAAAAAAAAIDBAEFAP/EACURAAICAQQBBAMBAAAAAAAAAAABAhEDBCExQRIiMkJRE3HBM//aAAwDAQACEQMRAD8AGcYzYl6NNtoVm4xAKiVKKiSOaraW8otKdVhUsNNLzAqUiyxfZQ/reKTClAcxsw6usOzLJbUOC8hSQlYI1GUjlpr52g7ovZemQkXe6Vha2165HWRoedrGLvyJyb6ZA8VY1HtC4oaqkW51imtoWtCyhQWbWSpXK5GukCssFszamVKKLZkqAVzAI5ecG+I5ap4IqLqXEpVLTfwvIGZCjbnzBF9vvALxO8vNB1WRRIStzyvvb0+0A5Jj8SathdI1adlgmVnnirImzCibhaRyv1GkUNcqDkwtV7gbWv16w1E4fo7NGSgy4mnBZfEfVmN7WvbYbdIvuzvs7kWqa3O12Tl3lrWXGW3GwogAnKpR62tBZJNRoTjUXPyQtaPgzEz2WTmZKfNOU3ZaG30AJUfI30BNyBbTnffTl8E4zocymfRSlgtA6ocbVyt8Oa5+UdRoLLQCWwlI8hEc4LqcqwlXrCfyMoOOKxUqjUZtRqr7y3EG2RYyhHll5Rjo0oJ6psy3GDIcNi4fyjr5+kdC9o3ZzIV6XXNSYSxPoT4XAN/I9R9YSdQoTNDeXnni46htXh4ASQv8tjmOxsb/AMjBe7o95xSrgw4tw4vDk4y13jvDLyM7buTLe24tc7afOKODap1OUxBgsGaebRUpFYLaVHVxOygPbX2Ea3ZvQW61V5hyazd2lWFFRTa+dQKUb9NVfww3ujFKo3LoKcI45p+HcJSdNlniZpSlqdbCDm4ileltrC8HmCa/OVpbj84AhQNkoVpp7QjsVUmVoU4ES84qafKswJaCAkDmdTeGthme4MjLTsum4yJUQBqQRDVFU4keXlTT2Yy5yQL7HEKiVWvrHkC03jaXRJEIey+d/pEgI4slHnlxldLNrZdVLyiUhKj43RqpfK2uwgoffNNkENIuXFDf7mNGho/euI4QANIIZ2TRMyyhYFXIwGR7h41sc949xMipsTtOXbMy6Mt97g/3he3glxtRpqWxVVUBpZQ2ouFeU2Atc69d/lAzzhDlbLIRpDgwVVPxeRlGnDdYIQ57b/O31hwU+cSqWSyVWUnYdY5mwFWkUmsIExm4LqgnT8p2v6a/SHmiYya39DFUUsiIst4pBc85kaJvtFeuppQPFce0Vf4mtbCm1kqBGhO4jM4viT82gf5NkfIQSx1yKll+j2drl2VtAXuLZoTHalKBZZqDY3Vw3fPoYPZhzzgdrswhDFyRmCwR9o9kx0tg8WX1Wxb4c7uKkHptph5phpbpZfWUpdsn4bjmeXK+99oJZKvOYNdnaW3KtusOvKWHkL8dtk+RsP5wM4cdKao0zncQmZ/d1FFr2XYW1B39vUQa9oNOolKkiJOSSh4gNNkuLVbW5OpI2vC43u0VZGrUX2AVTnXKjOuzTt7rOg6DkIPcE4sp9PpTLFTmeGpvMgXQpXhBuNh0NvaFxH20krKgkE6XsI1SadhTxxlHx6DrE2MabMFSKRIIddJv3h1vKAfIbn3tEgCKieZtEjZTb5ZkdPjiuDoWmVvho4+UONZjmSeYj5qOLm2kOKacWhPJOfaFI7jSdTMgU5KGpNtOVDS05sw6k7/WNSZxE3On94lS2dzwnND7GCWTFW5I8GW7QQrm01mdnlbJcQUet76/WF6RbQixi9pk/PukM01hK3dBbckdfTqfOMeLpVuWrb/BkXZJpw5gytJASr8wSeab7RLladNFmKMotpm3gHhf/RNpcShS1IIbStAWkq0OoII2B3EOFmcdmOItUsWhm1y/CDsbDlCiwgmRulZt39taig5iCBYbdefpB05iqSpzKFVILDhIyOJSTf1tFWncYwuRHqlKWT0hdrlzCNCdrr9NHeigWSjIFOHKkjbc2vyjbln0LaQoEFCkgpPkYrq9RqZUE94dYl3HUBKbuNBSgLG+vS9/nFF/RI0uwfFRnZ9kuSzYy8rawNzDc08hU5M6hLZWkE3O2wA0HUk9LCGfhuXl0tmWQg5UggBKdwQeXrlgPxml6hpn2Vos0pBLKv1BQ29ibf3gcztUM0y3AbBbaHMU0wOEBIezXPkCf5RZdo0+JqucFCgUMJ1seZ/paJgzCrNbk52ZnVuNtIHDZKP17k+YGmnO/lFbiSioosy0y3Mce7YUs5MuUkqsNz+kxKrUTpPxeXndHzhykCqTSlzLnBkJcZ5l79KQCbDz0g7pcpg+u02ZFDYcp05KkZjMLUeMnkTqbc9RqDa4MADE+trD0xIoIAemUlf+kC/3AjK8k0qdlZpjNZxvMpN/i8RSR9AfUxsV2Zkt7d9BJKYLp7Wd6oTqpjXRqXTkR/yJvb2iRjmqlaVQmTVnLtko13JOgiRQ4YltVkSyZ573QENLSi/hzEjrHitVE/D5R87bGPUlS3EpSCpRIAAFyTEMpUqOpW4V9m9Rl6fXRxmkcVduE6R4kkbgdCR9oO+1qU/F8PNz6QFPSZCwpPNB0PtsfaFhX5FymzEm7k4DjrCHVNpFuG4N9OWwNuV7coaGBqmziWgvSE3YrCFNuJ6pOh/95wxLyjRNkfjJTXAmZV9yVmW5hk2W2oKTeLKpTU1WnHXJaXdEuyjiKaT40sjYm9tvXaMK6POmru0tiXdfm23VN8NtBKlEG17dIZ+G8FVfB2H6rXquplNpU3p9s+bkM6r2A1Ogv6iJ0nwPlS9XZj7Pq+1O0hmSdWgzkonIG1aZ2+RHWw0P9Yt5krJJCvDy6wp5uZXLVN8pIQpSSlPCARw9bgDLYC2nvF5RsbryhispK9Ld5QNf4hz9R8jHQxZowSUjn6jTSk3KAeyk6uWk3n5WcZYdA0Ss6q9IAMa1OcqLKC+tbp/OpKCEpGn/AFBa1OTE5JoTSVPPtvjwBlsqC9elusFGDaeukU6ZVOptUZtwFYNrtoTfKk256qPle0HqJLx27E6VNTuXQksOV16juLDa7NuFOcEXBseY+fzjTqNUen5iYdmLKU6oEH9IF7AfODvtUw9KMD8VkWUMrKrPoQLJVf8ANbrfeFrEduqOrFRb8kZ5Zh6afQxLNqcdcNkoTuTDOofZ5N1KmNmsTHcwyCvhos47+k6g2AIym2pveFpS5oyVQlpnk04FH05/SOgqJPIUlClK/ZrSUk+REMgrsRqJuNAerDdMw7MyqWkLmW8xK+8WVn2PSw2iRZ4uJLTC+aXAD8iIkUQgqIckm3bFThVlqYrks2+0h1sqN0rSCDp0MMSpSsvJPvGTYalzYJu0gI06aRIkSwRfme4vcVKUqeTmJPg5nzjXosw/LGYXLPOMq4Y8Tayk/EOnrEiR75MOP+KOjuzuTlWaVLusyzLbrqMzi0NgFZ6k84uqwkOtOtOALbUghSFagjzESJC4ci5nNL7DIotScDSM6X28qsouLrXex9hAwreJEjM3ER2H5fv+Id3Z9+zkKcW/CRLAjLpY6wSskkkk6xIkMiTS5YDdpSlfhbozG3S/mIVESJHpcj8PtPBDnwYomgyZJJPBT9okSG4eWK1ftR94o/wSf9xP3EexIkPRBLo//9k= | 7 | robotics job displacement | 2025-06-17 14:03:28 | null |
The Robots Are Coming for Your Job Sooner Than You Think: AI Researcher | https://www.newsweek.com/ai-robotics-jobs-adam-dorr-2039026 | AI expert Adam Dorr warns the technology is advancing so quickly it no longer just streamlines tasks but puts entire professions at risk of... | ## Headline
The Robots Are Coming for Your Job Sooner Than You Think: AI Researcher
## Subhead
Adam Dorr, director of research at the think tank RethinkX, warns that AI-driven automation will fundamentally alter the economy, resource distribution, and society itself.
## Author
Jesus Mesa
## Publication Date
Mar 04, 2025
## Main Text
For most people, artificial intelligence is still associated with chatbots like ChatGPT—a helpful, if imperfect, tool for answering questions and generating conversational responses. But that perception may vastly undersell the scale of change that AI is about to bring.
For those clinging to the belief that automation and robots are still decades away from significantly impacting the workforce, Adam Dorr has a stark warning: this change is going to be fundamental, and it's coming faster than nearly anyone thinks.
"What we're seeing with AI today follows the same historical pattern we've seen with every major technological shift," Dorr said in an exclusive interview with Newsweek. "It doesn't take 50 or 100 years for industries to change. It takes 15 to 20 years, sometimes even less."
The future of AI isn't a distant possibility—it's already here, Dorr says, reshaping industries at a breakneck pace. AI is no longer just a tool for streamlining tedious tasks; it is advancing so quickly that entire professions are at risk of disappearing whole cloth.
AI will not remain confined to a computer, Dorr said, arguing that one of the big watershed events on the horizon will be the marriage of advanced AI with robotics. He predicts that the first major sign of this revolution will be self-driving cars, which are already operating in a handful of American cities and which he believes will take over the country's roads within the next two years.
"When people start seeing fully autonomous cars on the streets—no driver, no steering wheel—that's when the public will finally understand how fast this is moving," he said. "And once AI is in vehicles, it won't stop there. It will quickly move into other robotic forms, including humanoid robots."
That timeline doesn't leave much room for complacency. A recent poll by data research firm Prolific found about two-thirds of respondents believe AI will lead to significant job losses in the next decade. And according to Dorr, they are not wrong. Humanity is standing at the precipice of a transformation that will not only automate entire sectors of the labor market faster than expected but also fundamentally alter the economy, resource distribution, and even society itself.
"There's no long-term escape from this," Dorr said. "By the 2040s, there will be almost nothing a robot can't do better and cheaper than a human."
Will the technology create jobs? Yes, but then it will take those jobs, too.
Most jobs aren't singular activities; they are a collection of tasks, Dorr argues, and AI will gradually chip away at them. At first, AI will assist workers, improving efficiency and productivity. But as it improves, it will eliminate the need for human involvement altogether.
"That shift will have profound consequences for employment," he said. "AI will not replace workers overnight. Instead, it will erode jobs one task at a time."
The cost advantage is undeniable. A survey by ResumeBuilder found that 37 percent of companies using AI have already replaced human workers, with 44 percent planning layoffs in 2024 due to AI automation.
However, despite the mounting evidence of AI-driven job loss, some insist that fears of a workforce apocalypse are overblown. The idea that AI will replace the labor force entirely is dismissed by many in the tech world, who claim that automation will instead enhance human capabilities rather than eliminate them.
Dr. Cain Elliott, Chief Legal Futurist at Filevine, shares this cautious optimism—particularly in the legal industry, where AI has begun reshaping workflows.
"AI is a tool, not a replacement for legal judgment," Elliott told Newsweek. "When that tool malfunctions, or worse, is misused—the responsibility still falls squarely on the human operator."
Dorr, however, warns that the assumption that AI will only affect low-skill, repetitive jobs is dangerously outdated. While factory workers and truck drivers may be among the first to feel the impact of automation, white-collar professions are just as — if not more — vulnerable.
Paralegals, financial analysts, customer service representatives, and even journalists are already seeing their roles altered by AI. AI-driven software can analyze contracts faster than human lawyers, trade stocks more accurately than some of the best financial quants, and even write entire articles and scripts—tasks once thought to require human intuition.
"We need to stop thinking about AI replacing entire jobs all at once," Dorr said. "Instead, we should be looking at how it takes over tasks—slowly at first, and then all at once."
Some industries are already seeing this dynamic play out in real time. Users are replacing costly human nutritionists with AI assistants that generate highly personalized diet plans based on just a single human input. In fields like design and marketing, AI is delivering work faster and at a lower cost than human professionals. According to McKinsey, sales and marketing personnel are leading the way, with 14 percent regularly using generative AI at work.
Despite the growing alarm, there is still time to prepare. But that window is closing quickly.
Dorr stresses that societies must act now to navigate this transition in a way that ensures economic and social stability. Governments and businesses should be investing in research and experimentation to determine policies that will help workers adapt to a rapidly evolving job market.
Ideas such as universal basic income (UBI) are being discussed as possible solutions to the displacement of human labor. Other proposals involve restructuring education, rethinking economic models, and even redefining the very concept of work itself.
Dorr acknowledges that no single solution to such mass disruption exists, but waiting until millions of people are unemployed is not an option.
He estimates that the cost of robotic labor will eventually fall to near zero. A humanoid robot, he explains, could soon cost as little as $10,000, with a lifetime operational cost of just 25 cents per hour.
Once the robots can then build other robots, that cost falls further, to essentially nothing.
As AI accelerates, another concern is growing about who has dominion over the technology.
Some fear that wealthy nations and corporations will monopolize AI, widening economic inequality. Countries that rely on manual labor industries—such as agriculture, textile production, or manufacturing—may find themselves struggling to compete in a world where automation dominates.
In January 2025, President Donald Trump announced the launch of "Stargate," a joint venture involving OpenAI, SoftBank, Oracle, and MGX, aiming to invest up to $500 billion in AI infrastructure in the United States by 2029. But the recent Prolific poll found that 38 percent of Americans do not believe such an investment will benefit workers or small businesses.
Another challenge is AI's energy consumption. Data centers require enormous amounts of electricity to run advanced AI models, raising concerns about the environmental impact if that energy comes from "dirty" power sources like coal. Scientists have estimated that the power requirements of data centers in North America increased from 2,688 megawatts at the end of 2022 to 5,341 megawatts at the end of 2023, partly driven by the demands of generative AI.
This is an area where Dorr exhibits some level of optimism, particularly about AI's potential for decentralization. He believes that open-source AI models like China's DeepSeek could allow smaller nations and communities to develop their own AI-driven economies.
"The goal should be to ensure that AI benefits all of humanity, not just a handful of powerful players," he said.
If these big questions are handled thoughtfully — a big if — Dorr sees a potential that many utopian futurists have long predicted: an end of scarcity itself. A world where labor is made optional and human beings can pursue meaningful lives free from economic hardship.
"Imagine a world where AI-powered robots farm, build, manufacture, and provide services at such low cost that essential goods become as abundant as the air we breathe," he said. "This is the opportunity AI presents."
For most of history, economies have been built around the principle of limited resources—food, energy, labor. The assumption has always been that not everyone can have everything they want all the time. But if AI and robotics can dramatically reduce the cost of production, Dorr argues, societies could enter an era where goods and services are abundant and freely available. | 3 months ago | Newsweek | data:image/jpeg;base64,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 | 8 | robotics job displacement | 2025-06-17 14:03:28 | null |
8 jobs that AI can't replace and why | https://www.techtarget.com/whatis/feature/Jobs-that-AI-cant-replace-and-why | AI is sparking concerns of job displacement among workers. While some roles might be at risk of automation, jobs requiring human empathy are unlikely to be... | ## Headline
8 jobs that AI can't replace and why
## Subhead
AI is sparking concerns of job displacement among workers. While some roles might be at risk of automation, jobs requiring human empathy are unlikely to be replaced by AI.
## Author
Kinza Yasar
## Publication date
06 Sep 2024
## Main text of the article
Job displacement concerns are on the rise as artificial intelligence and automation penetrate the workforce. A February 2024 Gallup survey showed 22% of respondents feared technology would take over their jobs, while 72% of Fortune 500 chief HR officers foresee AI replacing jobs in the next three years.
Industries such as customer service and manufacturing are increasingly adopting AI technologies, including machine learning in routine and repetitive tasks, raising the question of whether AI will replace certain jobs.
"While both legacy AI and generative AI are good at automating redundant tasks -- such as looking at data and generating insights -- there are many aspects, such as emotional intelligence and nuanced arguments, that AI cannot replace," said Mark Beccue, principal analyst at TechTarget's Enterprise Strategy Group. "AI is not good at nonlinear thinking, and therefore, solving human problems can't be the strength of AI."
Certain jobs remain immune to AI takeover. This is mainly because these roles will continue to require deep empathy, emotional depth, human creativity, and a specific level of human interaction that AI cannot replicate.
The eight jobs that AI can't replace include:
1. Social workers: Social work relies on empathy, trust, and emotional insight to support individuals and communities dealing with issues such as poverty, abuse, and mental health.
2. Performing arts: Performing arts is another field that AI can never fully penetrate. While AI can be used to enhance performances or assist with the creation of new artistic experiences, the possibility of it replacing the core elements of performing arts is unrealistic.
3. Doctors and healthcare workers: AI is revolutionizing healthcare, but it can't replace the nuanced judgment and emotional support provided by doctors and healthcare workers.
4. Leadership roles in an organization: Leadership roles require nuanced communication and complex decision-making skills that can't be reduced to simple code or a linear process.
5. Spiritual and faith-based roles: The possibility of AI as a replacement for faith-based services is far-fetched as it could erode the sense of community and human connection that is a central element of religious congregations in all major world religions.
6. Politicians: Political roles typically involve complex decision-making, negotiation, and empathetic leadership skills that go beyond data analysis and automation.
7. Skilled trades: Skilled trades, such as plumbers, electricians, and craftsmen, are challenging for AI to replace as they require manual dexterity, the ability to adapt to unpredictable situations, and problem-solving skills.
8. Teachers and educators: According to a report by the World Economic Forum on the future of learning, AI is expected to complement teaching rather than replace teachers. This is mainly because the role of teachers and educators extends beyond information delivery. Teachers also serve as mentors and are often the first role models for many students. | 9 months ago | TechTarget | data:image/jpeg;base64,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 | 11 | robotics job displacement | 2025-06-17 14:03:28 | null |
No, Robots Aren’t Destroying Half of All Jobs | LSE Executive Education | https://www.lse.ac.uk/study-at-lse/executive-education/insights/articles/no-robots-arent-destroying-half-of-all-jobs | LSE's Professor Leslie Willcocks with eight important qualifiers to the widespread idea that '47% of jobs will disappear to automation' by 2030. | No, Robots Aren’t Destroying Half of All Jobs
LSE’s Professor Leslie Willcocks with eight important qualifiers to the widespread idea that ‘47% of jobs will disappear to automation’ by 2030.
Professor Leslie Willcocks
Emeritus Professor of Work, Technology and Globalisation
According to a 2013 report from Oxford academics, 47% of workers in America have jobs at high risk of potential automation. It is an alarming top-line figure and one that has gained a good deal of traction in discussions around the future of work—and is still often repeated today. Speaking at the LSE Festival, Leslie Willcocks, Emeritus Professor of Work, Technology and Globalisation at LSE, described a set of eight important qualifiers to that figure—which highlights critical nuances within the realm of new technology and how organisations are actually adopting them ‘on the ground’.
1. It is not whole jobs being lost
Only about 9% of whole jobs can be automated at this moment in time—and that is before we ask whether they will or won’t be automated, for a myriad of reasons. It is tasks and activities within jobs that will be automated—60% of jobs are likely to be 30% or more automated by 2030.
2. Jobs are being created too
Many of the earlier studies in this field left job creation out of the equation. New studies have shown that, in fact, net job loss from technological deployment is about 1%. This includes our own research at LSE, and is supported by research at McKinsey & Company, PricewaterhouseCoopers, and the World Economic Forum. These studies indicate 18% of job loss on a global workforce, but a 17% of job gain as a result of these technologies—giving the net job loss of 1%.
3. Overconfidence
There is a significant over-belief in this technology—a belief that we will see a seamless tsunami of technologies entering our organisations, being welcomed with open arms and adopted smoothly. The reality is very different. Technology has never been a ‘fire and forget missile’. Historically it has taken 10-26 years for a major technology to become 90% utilised, across the developed economies. For example, we were projected to have driverless vehicles by this point in time—in reality, adoption of that technology has proved much more challenging.
4. Imperfections
There is also an over-belief in the perfectibility of the technology. Researchers are prone to thinking of automation as either perfect already, or easily perfectible. People who have worked with technology in the 80s, 90s, and 00s will tell you: we have always been told a technology is going to be perfect one day. Many thousands of upgrades later we are still working with imperfect technology.
5. Human skills
People grossly underrate the distinctive human skills that cannot be replicated by these technologies. Studies by LSE and others identified 17 sets of skills people use at work and estimated only six of those could be automated at any time in the next ten years. Humans have strengths—especially using skills in combinations—that machines are unlikely to replicate any time soon.
6. Demographics matter
Ageing populations—for example those of China and Japan—possess skills deficits, which can be addressed by automation. Automation here becomes a coping mechanism as much as a mechanism to drive growth. These countries are not going to meet their productivity and growth targets unless they start using automation technologies very seriously. It is not the same in every part of the world.
7. More work to be done
There is an assumption that the amount of work to be done will remain stable. In fact, the amount of work to be done increases dramatically year-on-year. Conservatively, work increases 10-15% per annum. Factor this into any equation about automation and job loss and the picture will be radically changed.
8. Skill shifts not losses
A bigger issue than job losses—in our debates about the future of work—should be skill shifts. Over the next 10-20 years, low-skilled work will go from 44% of the workforce globally to around 32%. There will be skill shifts towards non-repetitive work, digital work, STEM skills, cognitive skills—distinctive human skills that cannot be replicated. Not developing these skills will create capability gaps that impact adversely on productivity, but also, perversely on speed of automation. I don't think any of us—corporates, educational institutions, governments, or individuals—are set up well to deal with these dramatic skill shifts.
Leslie has a worldwide reputation for his research and advisory work on automation, digital business, the future of work, IT and business process outsourcing, organisational change, management, and global strategy. He has developed executive education programmes for organisations including: Standard Chartered Bank, Stater, ABNAmro Bank, Royal Sun Alliance, Singtel, Commonwealth Bank, Abu Dhabi Investment Authority, Trizma, Accenture, IBM, Rotterdam Port Harbour Authority, and several government institutions in the UK, USA and Australia. He has served as an expert witness on congressional committees and senate inquiries on outsourcing in Australia and the USA and provided evidence to a number of UK government reports on major public sector IT projects. He has been editor-in-chief of the Journal of Information Technology and is the co-author of 65 books. | 1 month ago | LSE | data:image/jpeg;base64,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 | 12 | robotics job displacement | 2025-06-17 14:03:28 | null |
Robots make your work less meaningful | https://www.brookings.edu/articles/robots-make-your-work-less-meaningful/ | The integration of robots into the workplace has been a subject of both fascination and concern in the rapidly changing landscape of... | Robots make your work less meaningful
Economic Studies Media Office
[email protected] | 13 months ago | Brookings | data:image/jpeg;base64,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 | 13 | robotics job displacement | 2025-06-17 14:03:28 | null |
AI and robots fuel new job displacement fears | https://www.axios.com/2023/03/29/robots-jobs-chatgpt-generative-ai | An epic labor shortage is bedeviling employers, causing some to eye robots and AI as potentially cheaper than increasing wages. | AI and robots fuel new job displacement fears
Updated Apr 2, 2023
# AI and robots fuel new job displacement fears
Jennifer A. Kingson
For all the hand-wringing over whether robots will replace human workers, ChatGPT and its ilk — tools known as generative AI — are shaping up to be a big employment threat too.
Why it matters: Robots tend to replace manual laborers, while artificial intelligence threatens knowledge workers — ensuring that people of all education levels can look nervously over their shoulder at the tech gunning for their paycheck.
State of play: Robots' growing sophistication has them starting to work as everything from security guards, window washers and assembly line workers to food deliverers and fry cooks.
They're predicted to soon prove their mettle as warehouse workers, aides to the elderly, pharmacists and more.
At the same time, AI software and large language models (LLMs) — including ChatGPT — may soon be able to do all manner of jobs, blending into society in ways that aren't clear yet.
So far, we know AI can give radiologists a run for their money, and could replace coders, accountants, paralegals, graphics designers and even journalists (eeek!).
Yes, but: For all their potential workplace benefits (like indefatigability), these technologies all have manifold flaws — from serving up misinformation to falling over on the job (hello, sidewalk robots!).
Threat level: It seems clear that automation will continue to erode certain jobs, as it has already done in the manufacturing realm.
The question is whether other jobs will crop up as a substitute — say, in supervising, programming or fixing the robots — and whether workers are equipped to perform them.
Some economists say the threat to people's jobs is real — and the big shame is that vocational training programs aren't steering workers into roles with guaranteed longevity.
What they're saying: Automation "could increase productivity while reducing wages and employment," says Daron Acemoglu, a professor and labor economist at the Massachusetts Institute of Technology.
"I'm not optimistic that just the simple process of workers getting displaced from some jobs and doing other ones is going to be enough," says Acemoglu, co-author of influential research papers showing that automation has exacerbated wage inequality and that robots have usurped jobs.
He argues that the "scope is greater" for AI and LLMs to replace human workers — particularly given many companies' desire to trim costs through automation.
The other side: A World Economic Forum report predicts that the "number of jobs destroyed will be surpassed by the number of 'jobs of tomorrow' created."
By 2025, machines could displace about 85 million jobs — but create 97 million new roles "more adapted to the new division of labour between humans, machines and algorithms."
And research shows people tend to exaggerate the job threat from robots.
Optimists point out that ATMs didn't eliminate bank tellers, nor did washing machines make housework extinct.
Robot manufacturers say their products won't kill jobs — they'll just replace boring, dangerous and repetitive roles with better ones that require human judgment.
"We really view robots as a partner to people, not as a replacement," the co-founder and CEO of Agility Robotics, Damion Shelton, tells Axios.
"There are so many tasks that need to be done in a logistics environment," says Shelton, whose company is building a robotic warehouse worker. "Robots can just pick up the stuff that people don't want to do."
The big picture: An epic labor shortage is bedeviling employers, causing some to eye robots and AI as potentially cheaper than increasing wages.
Meanwhile, long-term trends — like demographic shifts and a mismatch between skills and workplace needs — are worrisome to economists, who fear our education and training apparatus isn't oriented toward future needs.
The U.S. has a shortage of skilled tradespeople, for example — carpenters, electricians, plumbers — but community colleges and other institutions aren't offering appropriate programs, Acemoglu says.
One promising solution: Amp up subsidized training programs for jobs that can't easily be done by robots or AI, and funnel potentially displaced workers into them.
In the U.S., "when we adopt robotics, we then lay off workers," Acemoglu said. "But if you look at what happens in Germany, they retrain workers and they create jobs for other workers."
Editor's note: This story originally published on March 29. | 26 months ago | Axios | data:image/jpeg;base64,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 | 14 | robotics job displacement | 2025-06-17 14:03:28 | null |
China bets big on humanoid robots to transform factories | https://dig.watch/updates/china-bets-big-on-humanoid-robots-to-transform-factories | Beijing's AI subsidies push humanoid robots closer to mass deployment. Humanoid robots take on assembly and inspection tasks in factories. | China bets big on humanoid robots to transform factories
Beijing’s AI subsidies push humanoid robots closer to mass deployment
14 May 2025
Chinese start-up AgiBot is leading the charge in humanoid robotics, using data-intensive training to develop machines capable of everyday tasks like folding clothes and making sandwiches.
Backed by strong government support and over $20 billion in recent subsidies, China sees these AI-powered robots as a way to maintain its manufacturing edge amid demographic decline and global trade tensions. President Xi Jinping’s recent visit to AgiBot underlined the political significance of this push.
Humanoid robots in China are rapidly advancing beyond demonstration, with models already performing somersaults and quality checks on production lines. With the cost of components falling and state-backed funding expanding, firms like Unitree and UBTech are entering or preparing for mass production.
Analysts predict global sales of humanoid robots could reach one million annually by 2030, with China dominating both manufacturing and the underlying supply chains. The rise of humanoids has raised concerns over job displacement in a nation with over 120 million factory workers.
Lawmakers are debating AI-related unemployment insurance, while others argue robots can fill roles that are dull, dangerous or undesirable. The technology is also being positioned as a solution for elderly care, with firms like Ant Lingbo developing service robots for ageing populations.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! | 1 month ago | Digital Watch Observatory | data:image/jpeg;base64,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 | 15 | robotics job displacement | 2025-06-17 14:03:28 | null |
Robots are taking over jobs, but not at the rate you might think says BYU research | https://news.byu.edu/intellect/robots-are-taking-over-jobs-but-not-at-the-rate-you-might-think-says-byu-research | There's no need to panic about a pending robot takeover just yet. The study found that only 14% of workers say they've seen their job... | Robots are taking over jobs, but not at the rate you might think says BYU research
By Tyler Stahle,
November 09, 2022
The study found that robots aren’t replacing humans at the rate most people think, but people are prone to exaggerate the rate of robot takeover.
It’s easy to believe that robots are stealing jobs from human workers and drastically disrupting the labor market; after all, you’ve likely heard that chatbots make more efficient customer service representatives and that computer programs are tracking and moving packages without the use of human hands.
But there’s no need to panic about a pending robot takeover just yet, says a new study from BYU sociology professor Eric Dahlin. Dahlin’s research found that robots aren’t replacing humans at the rate most people think, but people are prone to severely exaggerate the rate of robot takeover.
The study, recently published in Socius: Sociological Research for a Dynamic World, found that only 14% of workers say they’ve seen their job replaced by a robot. But those who have experienced job displacement due to a robot overstate the effect of robots taking jobs from humans by about three times.
To understand the relationship between job loss and robots, Dahlin surveyed nearly 2,000 individuals about their perceptions of jobs being replaced by robots. Respondents were first asked to estimate the percentage of employees whose employers have replaced jobs with robots. They were then asked whether their employer had ever replaced their job with a robot.
Only 14% of workers say their job has been replaced by a robot. Those who have experienced job displacement overstate the effect robot takeover by about three times.
Those who had been replaced by a robot (about 14%), estimated that 47% of all jobs have been taken over by robots. Similarly, those who hadn’t experienced job replacement still estimated that 29% of jobs have been supplanted by robots.
“Overall, our perceptions of robots taking over is greatly exaggerated,” said Dahlin. “Those who hadn’t lost jobs overestimated by about double, and those who had lost jobs overestimated by about three times.”
Attention-grabbing headlines predicting a dire future of employment have likely overblown the threat of robots taking over jobs, said Dahlin, who noted that humans’ fear of being replaced by automated work processes dates to the early 1800s.
“We expect novel technologies to be adopted without considering all of the relevant contextual impediments such as cultural, economic, and government arrangements that support the manufacturing, sale, and use of the technology,” he said. “But just because a technology can be used for something does not mean that it will be implemented.”
Dahlin says these findings are consistent with previous studies, which suggest that robots aren’t displacing workers. Rather, workplaces are integrating both employees and robots in ways that generate more value for human labor.
“An everyday example is an autonomous, self-propelled machine roaming the isles and cleaning floors at your local grocery store,” says Dahlin. “This robot cleans the floors while employees clean under shelves or other difficult-to-reach places.”
Dahlin says the aviation industry is another good example of robots and humans working together. Airplane manufacturers used robots to paint airplane wings. A robot can administer one coat of paint in 24 minutes – something that would take a human painter hours to accomplish. Humans load and unload the paint while the robot does the painting. | 31 months ago | BYU News | data:image/jpeg;base64,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 | 18 | robotics job displacement | 2025-06-17 14:03:28 | null |
Amazon advances automation with over 750,000 robots, replacing 100,000 jobs | https://www.tbsnews.net/world/global-economy/amazon-advances-automation-over-750000-robots-replacing-100000-jobs-888656 | Amazon.com Inc., the world's second-largest private employer, has significantly increased its use of robotics, deploying more than 750000 robots alongside... | Amazon advances automation with over 750,000 robots, replacing 100,000 jobs
TBS Report
01 July, 2024, 08:00 am
Last modified: 01 July, 2024, 08:03 am
A 6-axis robotic arm picks up sorting containers at the Amazon fulfillment center in Baltimore, Maryland, U.S., April 30, 2019. REUTERS/Clodagh Kilcoyne/File Photo
Amazon.com Inc., the world's second-largest private employer, has significantly increased its use of robotics, deploying more than 750,000 robots alongside its human workforce, reports Yahoo Finance.
The company, which employs 1.5 million people, has seen a reduction of over 100,000 employees from its 2021 peak of 1.6 million. This shift coincides with a rapid expansion of its robotic fleet, which grew from 200,000 robots in 2019 to 520,000 in 2022.
Amazon's robots, including new models like Sequoia and Digit, are designed to perform repetitive tasks, enhancing efficiency, safety, and delivery speed.
Sequoia speeds up inventory management and order processing, while Digit, a bipedal robot developed with Agility Robotics, handles tasks like moving empty tote boxes.
Despite the automation scale, Amazon claims that robots have led to the creation of new skilled job categories, aligning with a broader industry trend of integrating advanced technologies with human workforces.
While the company insists robots are meant to assist human employees, enhancing efficiency and safety, there are concerns about job displacement and workforce implications.
Research from institutions like MIT indicates that industrial robots can negatively impact jobs and wages in deployed areas.
The introduction of a large number of robots into Amazon's workforce has prompted discussions about job displacement and the future of human labour. However, Amazon has highlighted the creation of 700 new categories of skilled jobs, suggesting that automation can also generate new employment opportunities.
The shift may reflect a broader economic trend where human employees take on more complex, non-repetitive tasks requiring higher skill levels and creativity. | 11 months ago | The Business Standard | data:image/jpeg;base64,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 | 19 | robotics job displacement | 2025-06-17 14:03:28 | null |
How Robots Are Beginning to Affect Workers and Their Wages | https://tcf.org/content/report/robots-beginning-affect-workers-wages/ | The first takeaway is that robots are, indeed, coming—but there is little evidence (yet) that robotic growth is leading to widespread job... | How Robots Are Beginning to Affect Workers and Their Wages
October 17, 2019
William M. Rodgers III and Richard Freeman
What You Should Know
Estimates of the potential impacts of robots on the American economy vary widely, with some studies predicting that as many as 50 percent of all workers are at risk of losing their jobs to automation in the coming decades.
This report looks at what is happening in practice, estimating the impact of rising automation in the wake of the Great Recession, from 2009 to 2017, a period in which the use of industrial robots in the United States has more than doubled.
The report shows that, on the national level overall, robots have not (yet) brought the dire effects that many have warned. However, the impact of robots varies across groups of workers, regions, and industries.
There have been clear losers with increased automation: namely, younger, less-educated manufacturing workers in the Midwest (and younger, minority workers in these industries in particular). These industries not only have the highest number of robots in use, but are also experiencing the fastest growth in robot adoption.
Importantly, some of the adverse impacts on the wages and jobs of Midwest manufacturing workers have been “masked” by the economic recovery of the past decade. That is, had the recovery not occurred, we’d be witnessing even more young workers being displaced from their jobs.
## Executive Summary
Much has been written about the rise of robots and the potential impacts of automation on the economy. Yet most analysis tends to be prospective in nature, and estimates of future impacts on employment vary widely, with some studies predicting that as many as 50 percent of all workers are at risk of losing their jobs to automation. Even less is understood about the actual impacts of robots on jobs, wages, and workers today. While more recent studies have begun to measure these effects, the results here, too, are mixed.
This report analyzes the impact of robots in the years following the Great Recession, from 2009 to 2017—a period of significant, steady job growth and economic recovery, as well as one in which the use of robots in the U.S. workplace more than doubled. The report’s findings, summarized below, offer new insights that can help inform ongoing debates about the future of work and the impact of automation.
The first takeaway is that robots are, indeed, coming—but there is little evidence (yet) that robotic growth is leading to widespread job displacement, as some have predicted. That said, there are winners and losers with automation. While robots may have negligible effects on national employment as a whole, certain industries and regions are more impacted by robotic growth, and particular groups of workers disproportionately suffer the negative effects of this growth. It is also the case that job losses from robotization may have little impact on total employment, as displaced workers find other jobs (especially in a strong economy with low unemployment), even if at lower pay. Lastly, we find that the economic boom of the past decade has effectively “masked” some of the impacts that robots have had on workers. It’s not that robots weren’t displacing jobs—it’s that the overall economic expansion was large enough to offset some of these job losses.
## Key Findings
### 1. Trends in Robot Growth
We constructed a measure of the use of robots—commonly referred to as “robot intensity”—to estimate trends in robot exposure across more than 250 metropolitan areas and over time, finding that:
* During the Great Recession, robot intensity plummeted. But since 2009, **robot intensity has sharply increased** nationwide.
* States in the Midwest (the East North Central, or ENC, census division)—**Michigan, Ohio, Indiana, Illinois, and Wisconsin** —consistently have the highest robot intensities, typically at least twice the intensity of all other regions.
* Midwest (ENC) states also experienced**the sharpest growth in robots** since 2009.
* Robot intensity in **manufacturing industries** greatly exceeds the national average:
* Since 2009, the number of manufacturing robots has more than doubled—from 0.813 per thousand workers to 1.974 per thousand workers.
* **Highly unionized states** have much lower robot intensities than states with low rates of unionization.
### 2. Impact of Robots Varies across Workers
We assess the impact of robot intensity on the employment and earnings outcomes of non-college educated men and women, finding that:
* The adoption of robots since the Great Recession has been accompanied by **employment gains for some groups** of workers, and appears**not to have** **affected other groups.**
* Positive impact on: young, less-educated men and less-educated adult women.
* No impact on: young, less-educated women and less-educated adult men.
* The adoption of robots since the Great Recession has been accompanied by wage**increases for some groups** of workers, and appears**not to have adversely affected other groups.**
* Positive impact on: young, less-educated women and less-educated minority men and women.
* No significant impact on: less-educated adult men and women.
* Yet, robotization has **adversely affected other types of workers** at the national level—for example, in manufacturing industries.
Our findings suggest that, at the current stage and pace of robot growth, and with the right economic conditions in place, some workers without a college degree may benefit from robotization. This is perhaps due to robots stimulating demand for goods, creating new markets, and spurring wage growth.
### 3. Impacts of Robots in the Rust Belt
Given that the Midwest has the greatest concentration of robots and the fastest robot growth (and thus is most likely to show the effects of robots), we focus in on the ENC region and examine the effects of robots on employment and wages by race/ethnicity, gender, age, and industry, finding that:
* In Midwest manufacturing industries, robots have **sizably decreased employment** for some groups of workers (**young, less-educated men and women**).
* Estimated impact: for an increase of one robot per thousand workers, the employment-to-population ratio falls by an estimated 3.5 percentage points.
* In Midwest manufacturing industries, robots have **sizably decreased wages** for some groups of workers (**young, less-educated men and women**).
* Estimated impact: an increase of one robot per thousand workers is associated with a 4.0 percent to 5.0 percent decline in wages.
* The biggest negative impact of robots was on **young, less-educated black men and women** —groups that already have lower wages and employment rates, on average.
Lastly, we isolate the impact of robotic growth to predict what would have happened in the region absent the economic boom that began in 2009, finding that:
* **What happened** (with robots and recovery): employment-to-population ratio for young, less-educated workers **increases** from roughly 34 percent to around **45.5 percent.**
* **What would have happened** (with robots, no recovery): employment-to-population ratio for young, less-educated workers **decreases** from 34 percent to around **30 percent.**
These findings demonstrate that in the Midwest: (1) the economic recovery of the last decade has effectively “masked” the impact of robots on employment—that, absent such a strong recovery, robots would have displaced many more jobs than they did; and (2) if manufacturing growth during the recovery had not relied so heavily on robots, there would be many more jobs available to workers, and minority young workers in particular.
## Introduction
Although it took several years for the U.S. economy to rebound from the Great Recession, the economic expansion currently under way is by most accounts viewed as stellar.[1](https://tcf.org/content/report/robots-beginning-affect-workers-wages/#easy-footnote-bottom-1-32653) Since February 2010—eight months after the National Bureau of Economic Research’s Dating Committee declared the recession’s end—private sector job growth has occurred for 112 consecutive months, growing at a monthly average of 192,000, and creating over 21.3 million jobs through May 2019. The nation’s unemployment rate has fallen far below the 6 to 7 percent level that many economists and policymakers once believed was the “NAIRU”—the nonaccelerating inflation rate of unemployment, below which inflation supposedly would take off. (It hasn’t.)
As the current expansion unfolded, technological change continued to reshape how Americans work, where they work, when they work, and with whom they work. One example of this growing impact of technology in the workplace is the use of industrial robots in the workplace. According to the International Federation of Robotics (IFR), from 2009 to 2017, the use of robots in the U.S. workplace—often called “robot exposure”—more than doubled, from 0.75 robots per thousand workers to 1.81 robots per thousand workers. (See Figure 1.) [2](https://tcf.org/content/report/robots-beginning-affect-workers-wages/#easy-footnote-bottom-2-32653) Has this led to continued worker displacement effects, or are we seeing increases in employment due to robots’ productivity effect?[3](https://tcf.org/content/report/robots-beginning-affect-workers-wages/#easy-footnote-bottom-3-32653)
Our research presented us with several major takeaways. First, while labor market statistics such as the Bureau of Labor Statistics’ “official” unemployment rate currently look quite good, the positive trends of a persistently low jobless rate and strong job growth have not had the same beneficial effects on the employment and wages of youth and minorities as they did during the previous boom of the 1990s.[7](https://tcf.org/content/report/robots-beginning-affect-workers-wages/#easy-footnote-bottom-7-32653)
Second, since the end of the Great Recession, we do find evidence of a small, national-level productivity effect for young less-educated men and less-educated adult women. That is, specifically, the adoption of robots increases their employment because increased robot usage (1) stimulates demand for the goods that robots produce, (2) create new markets, and (3) spurs wage growth.
However, our strongest evidence is for the existence of industrial-robot-led job displacement primarily in the nation’s East North Central (ENC) census division (Illinois, Indiana, Wisconsin, Michigan, and Ohio), with young, less-educated men and women bearing the brunt of the job losses. For an increase of one robot per thousand workers, the employment-to-population ratio of all young less-educated ENC workers falls by a precisely estimated 3.5 percentage points. This is nontrivial, given that the 2009 employment-to-population ratio for these groups is 35.0 percent. With respect to wages, an area’s one–robot-per-thousand-worker increase is associated with a 4.0 to 5.0 percent decline in the individual wages of young, less-educated men and women who live in the ENC census division and work in the manufacturing sector.
Third, even though job growth has not been as strong during this boom as it was during the 1990s, current economic growth has helped to offset the adverse impact that increased robot intensity has had on employment. For these same young, less-educated minority men and women in the ENC, if robot intensity was the only source of change from 2009 to 2017, their employment-population ratios would have fallen to approximately 30.0 percent instead of rising from 34.0 to 45.5 percent. Thus, our findings indicate that robotic growth has had its biggest negative impact on young, less-educated ENC black men and women. These men and women started...[TRUNCATED] | 68 months ago | The Century Foundation | data:image/jpeg;base64,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 | 22 | robotics job displacement | 2025-06-17 14:03:28 | null |
AI, Robotics, and the Future of Jobs | https://www.pewresearch.org/internet/2014/08/06/future-of-jobs/ | Half of these experts (48%) envision a future in which robots and digital agents have displaced significant numbers of both blue- and white-collar workers. | AI, Robotics, and the Future of Jobs
By Aaron Smith and Janna Anderson
August 6, 2014
The vast majority of respondents to the 2014 Future of the Internet canvassing anticipate that robotics and artificial intelligence will permeate wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance. But even as they are largely consistent in their predictions for the evolution of technology itself, they are deeply divided on how advances in AI and robotics will impact the economic and employment picture over the next decade.
The effects will be different in different economies, driven by revolutions in education and in technology, the very nature of work will have changed radically—but only in economies that have chosen to invest in education, technology, and related infrastructure. Some classes of jobs will be handed over to the ‘immigrants’ of AI and Robotics, but more will have been generated in creative and curating activities as demand for their services grows exponentially while barriers to entry continue to fall.
Advances in technology may displace certain types of work, but historically they have been a net creator of jobs. We will adapt to these changes by inventing entirely new types of work, and by taking advantage of uniquely human capabilities. Technology will free us from day-to-day drudgery, and allow us to define our relationship with “work” in a more positive and socially beneficial way. Ultimately, we as a society control our own destiny through the choices we make.
Half of the experts envision a future in which robots and digital agents have displaced significant numbers of both blue- and white-collar workers—with many expressing concern that this will lead to vast increases in income inequality, masses of people who are effectively unemployable, and breakdowns in the social order. The other half expect that technology will not displace more jobs than it creates by 2025, having faith that human ingenuity will create new jobs, industries, and ways to make a living.
Some experts argue that throughout history, technology has been a job creator—not a job destroyer. Others claim that advances in technology create new jobs and industries even as they displace some of the older ones. Certain jobs require uniquely human characteristics such as empathy, creativity, judgment, or critical thinking—and that jobs of this nature will never succumb to widespread automation. The technology will not advance enough in the next decade to substantially impact the job market, and our social, legal, and regulatory structures will minimize the impact on employment.
However, others expect AI and robotics to displace more jobs than they create by 2025, citing the displacement of workers from automation as already happening—and about to get much worse. The consequences for income inequality will be profound, leading to an increase in income inequality, a continued hollowing out of the middle class, and even riots, social unrest, or the creation of a permanent, unemployable “underclass”.
Both groups agree that the educational system is doing a poor job of preparing the next generation of workers and that the concept of “work” may change significantly in the coming decade. We will experience less drudgery and more leisure time, and it will free us from the industrial age notion of what a “job” is. Many things need to be done to care for, teach, feed, and heal others that are difficult to automate, and this will inspire us as a society to completely redefine our notions of work and employment. | 130 months ago | Pew Research Center | data:image/jpeg;base64,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 | 23 | robotics job displacement | 2025-06-17 14:03:28 | null |
Robots 'to replace up to 20 million factory jobs' by 2030 | https://www.bbc.com/news/business-48760799 | Up to 20 million manufacturing jobs around the world could be replaced by robots by 2030, according to analysis firm Oxford Economics. | Robots 'to replace up to 20 million factory jobs' by 2030
26 June 2019
Up to 20 million manufacturing jobs around the world could be replaced by robots by 2030, according to analysis firm Oxford Economics.
People displaced from those jobs are likely to find that comparable roles in the services sector have also been squeezed by automation, the firm said.
However, increasing automation will also boost jobs and economic growth, it added.
The firm called for action to prevent a damaging increase in income inequality.
Rise of the robots
Each new industrial robot wipes out 1.6 manufacturing jobs, the firm said, with the least-skilled regions being more affected.
Regions where more people have lower skills, which tend to have weaker economies and higher unemployment rates anyway, are much more vulnerable to the loss of jobs due to robots, Oxford Economics said.
Moreover, workers who move out of manufacturing, tend to get new jobs in transport, construction, maintenance, and office and administration work - which in turn are vulnerable to automation, it said.
On average, each additional robot installed in those lower-skilled regions could lead to nearly twice as many job losses as those in higher-skilled regions of the same country, exacerbating economic inequality and political polarisation, which is growing already, Oxford Economics said.
We've seen plenty of predictions that robots are about to put everyone, from factory workers to journalists, out of a job, with white collar work suddenly vulnerable to automation.
But this report presents a more nuanced view, stressing that the productivity benefits from automation should boost growth, meaning as many jobs are created as lost.
And while it sees the robots moving out of the factories and into service industries, it's still in manufacturing that the report says they will have the most impact, particularly in China where armies of workers could be replaced by machines.
Where service jobs are under threat, they are in industries such as transport or construction rather than the law or journalism and it's lower-skilled people who may have moved from manufacturing who are vulnerable.
The challenge for governments is how to encourage the innovation that the robots promise while making sure they don't cause new divides in society.
Oxford Economics also found the more repetitive the job, the greater the risk of its being wiped out.
Jobs which require more compassion, creativity or social intelligence are more likely to continue to be carried out by humans "for decades to come", it said.
The firm called on policymakers, business leaders, workers, and teachers to think about how to develop workforce skills to adapt to growing automation.
About 1.7 million manufacturing jobs have already been lost to robots since 2000, including 400,000 in Europe, 260,000 in the US, and 550,000 in China, it said.
The firm predicted that China will have the most manufacturing automation, with as many as 14 million industrial robots by 2030.
In the UK, several hundreds of thousands of jobs could be replaced, it added.
However, if there was a 30% rise in robot installations worldwide, that would create $5 trillion in additional global GDP, it estimated.
At a global level, jobs will be created at the rate they are destroyed, it said.
"Humans will always be needed" - Amazon's Tye Brady on robotics replacing humans | 71 months ago | BBC | data:image/jpeg;base64,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 | 25 | robotics job displacement | 2025-06-17 14:03:28 | null |
A short history of jobs and automation | https://www.weforum.org/stories/2020/09/short-history-jobs-automation/ | We often think of the rise of automation as a modern trend – but throughout history waves of mechanization have changed people's working... | A Short History of Jobs and Automation
The World Economic Forum
By Saadia Zahidi
28 Sep 2020
As machines and artificial intelligence (AI) increasingly replace routine and repetitive tasks, the very notion of work is being redefined, forcing a shift in how we think about the skills we need and the type of jobs we want to create for the future.
The potential benefits of technological innovation and progress have been recognized since the industrial revolution in the 18th and 19th centuries when new manufacturing technologies and factories replaced traditional craftsmanship and led to significant productivity gains and economic growth. But while many jobs were erased by automation in some sectors - weavers and seamstresses, blacksmiths and farriers - entirely new categories of employment emerged that we could never have predicted: telegraph operators, automobile workers, air traffic controllers, radiologists and software engineers to name just a few.
However, it is this unpredictable nature of job creation that makes these technological transitions so challenging to navigate, particularly in the context of education and re-skilling systems. How can we train people for jobs that don't yet exist, and that we cannot yet foresee? The kind of large-scale technological disruption we are seeing today, though, is not just about erasing certain job categories and replacing others; it is also changing the nature of work itself.
Within most existing occupations, there are specific tasks that can be easily automated, while others may require more human skills like creativity, problem-solving, critical thinking or emotional intelligence. While technological progress can be designed to augment certain job tasks, it is ultimately up to us, as individuals and societies, to determine how we create a future of work that complements machine technology with the kind of work that only humans can do, and to create new possibilities for people to find purpose, meaning and fulfillment in their working lives.
The future of work will likely involve greater degrees of freelance, portfolio and modular work; Skill cycles will be shorter; and the notion of a fixed 9-to-5 job for life will no longer apply, if it ever did. Governments and companies must therefore adapt by creating new education and re-skilling systems that are modular, knife-edge and experiential - and available throughout life. And ultimately, it will be up to each of us to learn how to navigate these significant changes, by being braver and more willing to try out new things, develop new skills and pursue new passions throughout our lives.
The World Economic Forum, in collaboration with a range of partners from business, government and civil society, is working on a range of initiatives to help ensure that the benefits and opportunities created by technological progress and the changing nature of work are available to as many people as possible. We believe this will require sustained investment in education and re-skilling systems, as well as new forms of safety nets and social protection for workers, and will need to be supported by a range of other complementary measures, from taxation to lifelong learning, immigration to job creation.
What we are clear about is that there is no time to lose in adapting our systems and ourselves for this change. With 1 billion jobs expected to be disrupted in the next decade, and the demands of the green and digital transitions creating unprecedented uncertainty in the world of work, it has never been more important for us to think systemically, act quickly - and work together in the interest of a more equitable and sustainable future of work for all. | 57 months ago | The World Economic Forum | data:image/jpeg;base64,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 | 26 | robotics job displacement | 2025-06-17 14:03:28 | null |
Opinion | In the Battle With Robots, Human Workers Are Winning (Published 2022) | https://www.nytimes.com/2022/10/07/opinion/machines-ai-employment.html | Why do I still have a job? It's a question readers ask me often, but I mean it more universally: Why do so many of us still have jobs? | Why do I still have a job?
It’s a question readers ask me often, but I mean it more universally: Why do so many of us still have jobs?
It’s 2022, and computers keep stunning us with their achievements. Artificial intelligence systems are writing, drawing, creating videos, diagnosing diseases, dreaming up new molecules for medicine and doing much else to make their parents very proud. Yet somehow we sacks of meat — though prone to exhaustion, distraction, injury and sometimes spectacular error — remain in high demand. How did this happen? Weren’t humans supposed to have been replaced by now — or at least severely undermined by the indefatigable go-getter robots who were said to be gunning for our jobs?
I’ve been thinking about this a lot recently. In part it’s because I was among the worriers — I started warning about the coming robotic threat to human employment in 2011. As the decade progressed and artificial intelligence systems began to surpass even their inventors’ expectations, evidence for the danger seemed to pile up. In 2013, a study by an Oxford economist and an A.I. scientist estimated that 47 percent of jobs are “at risk” of being replaced by computers. In 2017, the McKinsey Global Institute estimated that automation could displace hundreds of millions of workers by 2030, and global economic leaders were discussing what to do about the “robocalypse.” In the 2020 campaign, A.I.’s threat to employment became a topic of presidential debates.
Even then, predictions of robot dominance were not quite panning out, but the pandemic and its aftermath ought to radically shift our thinking. Now, as central bankers around the world are rushing to cool labor markets and tame inflation — a lot of policymakers are hoping that this week’s employment report shows declining demand for new workers — a few economic and technological truths have become evident.
First, humans have been underestimated. It turns out that we (well, many of us) are really amazing at what we do, and for the foreseeable future we are likely to prove indispensable across a range of industries, especially column-writing. Computers, meanwhile, have been overestimated. Though machines can look indomitable in demonstrations, in the real world A.I. has turned out to be a poorer replacement for humans than its boosters have prophesied.
Sign up for the Opinion Today newsletter Get expert analysis of the news and a guide to the big ideas shaping the world every weekday morning. Get it sent to your inbox.
What’s more, the entire project of pitting A.I. against people is beginning to look pretty silly, because the likeliest outcome is what has pretty much always happened when humans acquire new technologies — the technology augments our capabilities rather than replaces us. Is “this time different,” as many Cassandras took to warning over the past few years? It’s looking like not. Decades from now I suspect we’ll have seen that artificial intelligence and people are like peanut butter and jelly: better together.
It was a recent paper by Michael Handel, a sociologist at the Bureau of Labor Statistics, that helped me clarify the picture. Handel has been studying the relationship between technology and jobs for decades, and he’s been skeptical of the claim that technology is advancing faster than human workers can adapt to the changes. In the recent analysis, he examined long-term employment trends across more than two dozen job categories that technologists have warned were particularly vulnerable to automation. Among these were financial advisers, translators, lawyers, doctors, fast-food workers, retail workers, truck drivers, journalists and, poetically, computer programmers.
His upshot: Humans are pretty handily winning the job market. Job categories that a few years ago were said to be doomed by A.I. are doing just fine. The data show “little support” for “the idea of a general acceleration of job loss or a structural break with trends pre-dating the A.I. revolution,” Handel writes.
Consider radiologists, high-paid medical doctors who undergo years of specialty training to diagnose diseases through imaging procedures like X-rays and MRIs. As a matter of technology, what radiologists do looks highly susceptible to automation. Machine learning systems have made computers very good at this sort of task; if you feed a computer enough chest X-rays showing diseases, for instance, it can learn to diagnose those conditions — often faster and with accuracy rivaling or exceeding that of human doctors.
Editors’ Picks
Mysterious Ancient Humans Now Have a Face
Why Was Justin Bieber Fighting With Paparazzi?
Leonard Lauder, a Consummate New Yorker
Such developments once provoked alarm in the field. In 2016, an article in The Journal of the American College of Radiology warned that machine learning “could end radiology as a thriving speciality.” The same year, Geoffrey Hinton, one of the originators of machine learning, said that “people should stop training radiologists now” because it was “completely obvious that within five years deep learning is going to be better than radiologists.”
Hinton later added that it could take 10 years, so he may still prove correct — but Handel points out that the numbers aren’t looking good for him. Rather than dying as an occupation, radiology has seen steady growth; between 2000 and 2019, the number of radiologists whose main activity was patient care grew by an average of about 15 percent per decade, Handel found. Some in the field are even worried about a looming shortage of radiologists that will result in longer turnaround times for imagining diagnoses.
How did radiologists survive the A.I. invasion? In a 2019 paper in the journal Radiology Artificial Intelligence, Curtis Langlotz, a radiologist at Stanford, offered a few reasons. One is that humans still routinely outperform machines — even if computers can get very good at spotting certain kind of diseases, they may lack data to diagnose rarer conditions that human experts with experience can easily spot. Radiologists are also adaptable; technological advances (like CT scans and MRIs) have been common in the field, and one of the primary jobs of a human radiologist is to understand and protect patients against the shortcomings of technologies used in the practice. Other experts have pointed to the complications of the health care industry — questions about insurance, liability, patient comfort, ethics and business consolidation may be just as important to the rollout of a new technology as its technical performance.
Langlotz concluded that “Will A.I. replace radiologists?” is “the wrong question.” Instead, he wrote, “The right answer is: Radiologists who use A.I. will replace radiologists who don’t.”
Similar trends have played out in lots of other jobs thought to vulnerable to A.I. Will truck drivers be outmoded by self-driving trucks? Perhaps someday, but as The Times’s A.I. reporter Cade Metz recently pointed out, the technology is perpetually just a few years away from being ready and is “a long way from the moment trucks can drive anywhere on their own.” No wonder, then, the end of the road for truck drivers is nowhere near — the government projects that the number of truck-driving jobs will grow over the next decade.
How about fast-food workers, who were said to be replaceable by robotic food-prep machines and self-ordering kiosks? They’re safe too, Chris Kempczinski, the C.E.O. of McDonald’s, said in an earnings call this summer. Even with a shortage of fast-food workers, robots “may be great for garnering headlines” but are simply “not practical for the vast majority of restaurants,” he said.
It’s possible, even likely, that all of these systems will improve. But there’s no evidence it will happen overnight, or quickly enough to result in catastrophic job losses in the short term.
“I don’t want to minimize the pain and adjustment costs for people who are impacted by technological change,” Handel told me. “But when you look at it, you just don’t see a lot — you just don’t see anything as much as being claimed.” | 32 months ago | The New York Times | data:image/jpeg;base64,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 | 28 | robotics job displacement | 2025-06-17 14:03:28 | null |
Why Robots Won’t Steal Your Job | https://hbr.org/2021/03/why-robots-wont-steal-your-job | 85 million jobs may be displaced by the shift in labor between humans and machines by 2025, while 97 million new roles may | Why Robots Won’t Steal Your Job
by Nahia Orduña
March 19, 2021
According to the World Economic Forum Future of Jobs Report 2020, 85 million jobs may be displaced by the shift in labor between humans and machines by 2025, while 97 million new roles may emerge. These are the “jobs of the future,” and they are actually better opportunities, specifically for early-career professionals.
The more computers are trained to conduct high-repetitive tasks that are often assigned to entry-level employees, the more roles focused on complex tasks with competitive salaries will arise in their place. This means that young professionals may have a wider range of interesting careers to choose from.
People just entering the workforce usually struggle to land roles with higher salaries because they have to compete with senior candidates. This competitive disadvantage disappears as new types of roles — roles that no one has done before — are created. Younger workers are less likely to be forced to compete with their seniors, and more likely to be pioneers.
To figure out which path you want to take first, you’ll need to spend some time researching what areas feel right for you. Ask yourself these three questions to identify the “jobs of tomorrow” worth applying to, and future-proof your career.
1. What are the new roles in my area of interest?
Innovations in technology are driving the creation of new jobs. To figure out what roles you may want to pursue, you first need to understand what is happening in your area of interest.
2. Which new skills do I need to master and how?
Most people graduate college with a solid foundation in the area of their degree. Decades ago, this was enough to get you hired. But today, that foundation is only a starting point.
3. What else can you offer?
What makes you unique? It could be that you are fluent in multiples languages, that you have exceptional creative writing skills, that you are a master networker, or even that you grew up in a different country than the one in which you are applying to, and therefore, have a deeper understanding of international markets or cultures. | 50 months ago | Harvard Business Review | data:image/jpeg;base64,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 | 30 | robotics job displacement | 2025-06-17 14:03:28 | null |
Views from Those Who Expect AI and Robotics to Displace More Jobs than They Create by 2025 | https://www.pewresearch.org/internet/2014/08/06/views-from-those-who-expect-ai-and-robotics-to-displace-more-jobs-than-they-create-by-2025/ | Advances in technology will absolutely reduce human jobs—this process is already underway, and the logic of our economy and technological... | ## Headline
AI, Robotics, and the Future of Jobs
## Subhead
Views from Those Who Expect AI and Robotics to Displace More Jobs than They Create by 2025
## Authors
Aaron Smith and Janna Anderson
## Publication Date
August 6, 2014
## Main Text
Many of the experts in our survey who expect technology to be a net job destroyer also looked to the history of technology and employment in making their case. But in contrast to the group discussed above, these respondents see a much different story—one in which advances in automation have been taking jobs and putting downward pressure on wage growth for years.
Alex Halavais, associate professor of social and behavioral sciences at Arizona State University, predicted, “They have probably already replaced more jobs than they have created. The slow recovery in the U.S. is closely tied to our worker productivity, which is in turn related to our use of technology. We are only at the cusp of this, and I suspect it will be far more obvious and pronounced by 2025.
Larry Gell, founder and director of the International Agency for Economic Development (IAED), responded, “After 50+ years working for the heads of the world’s biggest corporations all over the globe—watching them cut costs every place starting with the biggest cost: PEOPLE; moving labor to cheapest markets, then replacing them as fast as possible with robots and automation—why would it stop? It will accelerate.
Mary Joyce, an Internet researcher and digital activism consultant, replied, “To the extent that human workers can be replaced by robots and algorithms, they will be. There’s no reason to believe that firms would behave in any other ways.
Karl Fogel, a partner with Open Tech Strategies and president of QuestionCopyright.org, wrote, “The reason people are investing in machine agents is precisely that they will replace more (lower-paid) humans than the number of (more highly-paid) humans needed to build and maintain the machines.
John Wilbanks, chief commons officer for Sage Bionetworks, wrote, “There remain enormous market gaps where digital tools can replace people, from parking lot attendants to call centers to checkout lanes in retail. Those jobs will go and won’t come back.
A distinguished engineer working in networking for Dell wrote, “It’s a given that computers will get more powerful and be able to perform more and more intelligent tasks. This is going to create more unemployment and I’m not sure how all this gets resolved.
Dean Thrasher, founder of Infovark, Inc., wrote, “More and more fields seem ripe for automation, but it’s hard to think of areas of our economy that are suffering from lack of staff—possibly teaching or healthcare?
Bernard Glassman wrote, “I’m honestly trying to think about the last time I heard anyone of any importance argue with a straight face that we should adopt a new technology because it will create jobs.
Lyman Chapin, co-founder and principal of Interisle Consulting Group, wrote, “Anything that can be automated will be, and to a greater or lesser extent depending on circumstances businesses will be reluctant to hire people to perform tasks that can be performed by robots, digital agents, or AI applications.
Many respondents worry that the current wave of technological change is going to impact previously insulated professions, and will happen so quickly as to prevent people from adjusting to new career paths.
Jeremy Epstein, a senior computer scientist at SRI International, responded, “The net number of jobs displaced will be fairly small, but they will be disproportionately blue-collar and pink-collar jobs going away and new white-collar jobs created.
Joel Halpern, a distinguished engineer at Ericsson, wrote, “While the advent of automated assistive technology will enable many new jobs, it will likely render irrelevant many current jobs.
An attorney at a major law firm responded, “The field within which I work currently employs many thousands to review documents. They are already being replaced by predictive coding algorithms.
David Allen, an academic and advocate engaged with the development of global Internet governance, replied, “The underlying, fundamental determinant is rate of change, between invention and the workforce.
The CEO of a company that makes intelligent machines to make you smarter about your money wrote, “Most information work isn’t all that complicated.
A university professor from the United States wrote, “The impact of AIs and robotics is often, I think, overstated, but automation of vehicles and improvements in robotics in warehousing operations should lead to a steady loss of employment in all areas of logistics. | 130 months ago | Pew Research Center | data:image/jpeg;base64,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 | 31 | robotics job displacement | 2025-06-17 14:03:28 | null |
How Globalization and Robotics Speed Up Job Losses | https://knowledge.wharton.upenn.edu/podcast/knowledge-at-wharton-podcast/globotics-upheaval/ | The twin trends of globalization and robotics could lead to an unprecedented disruption that would displace workers at the fastest pace in history. | How Globalization and Robotics Speed Up Job Losses
March 13, 2019
The twin trends of globalization and robotics could lead to an unprecedented disruption that would displace workers at the fastest pace in history, according to a new book.
The twin trends of globalization and robotics — or globotics — will usher in a period of unprecedented disruption that could displace workers at the fastest pace in history, argues Richard Baldwin, international economics professor at the Graduate Institute, Geneva, in his new book, The Globotics Upheaval: Globalization, Robotics and the Future of Work.
Like factory workers who lost their jobs to automation, white-collar and service workers are now in danger of being displaced en masse, said Baldwin, also editor-in-chief of policy website VoxEU.org. He recently joined the Knowledge at Wharton radio show to talk about his book. | 75 months ago | Knowledge at Wharton | data:image/jpeg;base64,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 | 32 | robotics job displacement | 2025-06-17 14:03:28 | null |
Jobs And Robots: 25 Countries Ranked On Job Loss Potential From Automation, Robotics, And AI | https://www.forbes.com/sites/johnkoetsier/2018/04/23/usa-ranks-9th-in-global-robotics-automation-job-loss-report-after-korea-germany-japan-canada/ | Jobs And Robots: 25 Countries Ranked On Job Loss Potential From Automation, Robotics, And AI · South Korea · Germany · Singapore · Japan... | South Korea, Germany, and Japan are most prepared for the coming wave of
automation, according to a new report by The Economist. The U.S., on the
other hand, ranks ninth out of 25 countries.And the most-at-risk countries?Mexico, Vietnam, and Indonesia.Looming advances in robotics, artificial intelligence, and automation
threaten to make many jobs obsolete over the next few decades. In
worst-case scenarios, 800 million jobs could be lost globally; in best-case
scenarios, robots squeeze humans out of just a few at-risk occupations. National R&D budgets are one indicator of global productivity, says the
report. The Economist Of course, too much automation can cause problems too, as Tesla CEO Elon
Musk has recently acknowledged.Both very rich and very poor countries will fare better than average in the
coming massive changes, according to the report. Rich countries are adding
robots quickly, and have the resources to prepare their populations for
coming changes. Poor countries, on the other hand, have less mass
manufacturing that is at risk from automation.The most-challenged nations will be middle-income countries with
significant manufacturing capacity.But it's not just manufacturing jobs that are on the potential chopping
block, the ABB-sponsored report says. White collar jobs are at risk too.“The advent … of highly intelligent technologies … has added a new
dimension to discussions of future automation,” the report says. “Namely
the prospect that large numbers of roles performed today by humans, wearing
white or blue collars, will be eliminated by machines.”How can countries improve their odds?STEM education programs focusing on science and technology is one step.
Focusing on soft skills such as creativity is another. Life-long learning
programs to up-skill regularly, and vocational training that emphasizes
working with robots are also important steps governments can take to
prepare workers to move their jobs up-market.Interestingly, countries with the most robots are also the richest and
have the lowest unemployment rates.The report scores countries on three main categories: innovation
environment, education policies, and labor market policies.Innovation keeps countries globally competitive, while education policies
maintain a supply of trained workers. But labor market policies that
connect to education and retraining are critical to helping workers being
displaced by automation to find new jobs, which are often more skilled.“The majority of our production lines employ a mix of automated stations
and manual operations for the various process steps, and we expect this to
remain the case for the foreseeable future," the report quotes Foxconn's
general manager of automation technology Dai Chia-peng as saying. "We need
system programmers, automation engineers and maintenance technicians
working on automated production lines to ensure smooth operations.”Foxconn employs more than 1.300,000 people, most of them in China. It is a
major manufacturer of high-tech devices such as smartphones and laptops.Automation via robots might target factories and physical goods, but
automation via AI will affect office jobs and virtual products as well."Traditionally technologies have automated a range of tasks that humans
might not have wanted to do or might not have defined them as humans,” says
Elizabeth Fordham, director of education and skills at the Paris-based
Organisation for Economic Co-operation and Development. “AI and robotics,
however, are starting to automate higher order, non-routine tasks, some of
which require critical thinking and creativity.”Some experts think the job losses from automation will be minimal, or even
zero ... because we'll create new jobs as fast as old ones are filled by
machines. James Bessen, a professor of economics at Boston University, says
that we'll create new demand for services that don't currently exist ...
and that perhaps we can't even think of right now.And others, like Tesla CEO Elon Musk, think that human adaptability is a
critical differentiator."Humans are underrated," Musk recently tweeted.But even the most optimistic think we'll need some help to get over the
hump.“Governments need to have a strategy for automation,” says Alan Manning,
a professor of economics at the London School of Economics. “I don’t think
you can just leave this to the market and believe it will deliver the right
level of innovation.”Here are the 25 evaluated countries, in order of preparedness for the
coming changes of automation and robotics: South Korea Germany Singapore Japan Canada Estonia France UK US Australia
Italy China UAE Malaysia Turkey Russia Argentina India Brazil Colombia
Saudi Arabia South Africa Mexico Vietnam Indonesia | 85 months ago | Forbes | data:image/jpeg;base64,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 | 33 | robotics job displacement | 2025-06-17 14:03:28 | null |
New research shows the robots are coming for jobs—but stealthily | https://www.economist.com/finance-and-economics/2021/01/16/new-research-shows-the-robots-are-coming-for-jobs-but-stealthily | THE YEAR is 2021, and honestly there ought to be more robots. It was a decade ago that two scholars of technology, Erik Brynjolfsson and... | New research shows the robots are coming for jobs—but stealthily
Look beneath the aggregate economic numbers, and change is afoot
Jan 16th 2021
THE YEAR is 2021, and honestly there ought to be more robots. It was a decade ago that two scholars of technology, Erik Brynjolfsson and Andrew McAfee, published “Race Against the Machine”, an influential book that marked the start of a fierce debate between optimists and pessimists about technological change. The authors argued that exponential progress in computing was on the verge of delivering explosive advances in machine capabilities. Headline-grabbing breakthroughs in artificial intelligence (AI) seemed to support the idea that the robots would soon upend every workplace. Given that, on the eve of the pandemic, jobs were as plentiful as ever, you might now conclude that the warnings were overdone. But a number of new economics papers caution against complacency. The robots are indeed coming, they reckon—just a bit more slowly and stealthily than you might have expected. | 53 months ago | The Economist | data:image/jpeg;base64,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 | 34 | robotics job displacement | 2025-06-17 14:03:28 | null |
Report: Robots Will Replace 20 Million Manufacturing Jobs by 2030 | https://www.usnews.com/news/economy/articles/2019-06-26/report-robots-will-replace-20-million-manufacturing-jobs-by-2030 | A report from Oxford Economics found that 8.5% of the global workforce could be displaced by robots by 2030. | ## Step 1: Extract the headline of the article
The headline of the article is: "Robots Will Replace 20 Million Jobs by 2030, Oxford Report Finds"
## Step 2: Extract the subhead of the article
There is no subhead present in the given article.
## Step 3: Extract the author(s) of the article
The author of the article is: Alexa Lardieri
## Step 4: Extract the publication date of the article
The publication date of the article is: June 26, 2019
## Step 5: Extract the main text of the article
The main text of the article is:
A report from Oxford Economics found that 8.5% of the global workforce could be displaced by robots by 2030.
By Alexa Lardieri
|
June 26, 2019
By Alexa Lardieri
|
June 26, 2019, at 2:08 p.m.
SaveComment
_More_
Robots have become more capable and improvements have expanded their usefulness in areas beyond just the automotive industry.
The rise of robots and automation is projected to lead to the displacement of 20 million manufacturing jobs by 2030.
A report from Oxford Economics estimates that about 8.5% of the global manufacturing workforce stands to be replaced by robots, with about 14 million manufacturing jobs lost in China alone.
The number of robots currently in the global workforce, 2.25 million, has multiplied threefold over the past 20 years, doubling since 2010. According to the report, every third robot is installed in China. The country accounts for about 20% of robots worldwide. Additionally, since 2004 each new robot installed in the manufacturing sector has displaced an average of 1.6 workers.
Over the next decade, the U.S. is projected to lose more than 1.5 million jobs to automation. China is slated to lose almost 12.5 million, the European Union will lose nearly 2 million jobs and South Korea will lose almost 800,000. Other countries around the world are expected lose 3 million jobs to robots by 2030.
In the United States, Oregon is the most vulnerable state for job displacement, followed by Louisiana, Texas, Indiana and North Carolina. Hawaii is the safest state from robot displacement, followed by the District of Columbia, Nevada, Florida and Vermont.
The three biggest reasons for the robot surge, the report outlines, are cost, capability and the rise in demand for manufactured goods.
Internationally, rural areas in the United Kingdom are most vulnerable to automation due to their concentrated manufacturing industries. London is among the least vulnerable cities. Seoul is the least at risk in South Korea because of its diverse economy and low dependence on manufacturing jobs, while the country's Daegu region is the most vulnerable because of its low level of manufacturing productivity, leaving it "ripe for change."
The cost of machinery has drastically declined, making robots cheaper than humans. Processing power of microchips, smarter networks and longer battery life have dramatically increased the per-unit value of robots, and their costs have dropped 11% from 2011 to 2016.
Robots are also quickly becoming more capable with improvements in technology. Artificial intelligence allows robots to learn and make informed decisions and carry out more sophisticated processes. The improvements have expanded robots' usefulness in areas beyond the automotive industry.
Lastly, due to the rise in manufacturing demand, countries, especially China, are investing in robots to increase production. If the expansion of robots continues to grow at its current rate, China will have close to 8 million robots in use by 2030.
The repercussions of the robot expansion will be disproportionately felt by lower-skilled workers and poorer local economies. According to researchers from Oxford, the rise in automation will "aggravate social and economic stresses from unemployment and income inequality in times when increasing political polarization is already a worrying trend."
Politicians will face increased pressure, the report states, as robots expand and inequality worsens.
"As the pace of robotics adoption quickens, policy-makers will be faced with a dilemma: while robots enable growth, they exacerbate income inequality," researchers state in the report. "Automation will continue to drive regional polarization in many of the world's advanced economies, unevenly distributing the benefits and costs across the population. This trend will intensify as the impact of automation on jobs spreads from manufacturing to the services sector, making questions about how to deal with displaced workers increasingly critical."
The final answer is:
Robots Will Replace 20 Million Jobs by 2030, Oxford Report Finds
Alexa Lardieri
June 26, 2019
A report from Oxford Economics found that 8.5% of the global workforce could be displaced by robots by 2030.
By Alexa Lardieri
|
June 26, 2019
By Alexa Lardieri
|
June 26, 2019, at 2:08 p.m.
SaveComment
_More_
Robots have become more capable and improvements have expanded their usefulness in areas beyond just the automotive industry.
The rise of robots and automation is projected to lead to the displacement of 20 million manufacturing jobs by 2030.
A report from Oxford Economics estimates that about 8.5% of the global manufacturing workforce stands to be replaced by robots, with about 14 million manufacturing jobs lost in China alone.
The number of robots currently in the global workforce, 2.25 million, has multiplied threefold over the past 20 years, doubling since 2010. According to the report, every third robot is installed in China. The country accounts for about 20% of robots worldwide. Additionally, since 2004 each new robot installed in the manufacturing sector has displaced an average of 1.6 workers.
Over the next decade, the U.S. is projected to lose more than 1.5 million jobs to automation. China is slated to lose almost 12.5 million, the European Union will lose nearly 2 million jobs and South Korea will lose almost 800,000. Other countries around the world are expected lose 3 million jobs to robots by 2030.
In the United States, Oregon is the most vulnerable state for job displacement, followed by Louisiana, Texas, Indiana and North Carolina. Hawaii is the safest state from robot displacement, followed by the District of Columbia, Nevada, Florida and Vermont.
The three biggest reasons for the robot surge, the report outlines, are cost, capability and the rise in demand for manufactured goods.
Internationally, rural areas in the United Kingdom are most vulnerable to automation due to their concentrated manufacturing industries. London is among the least vulnerable cities. Seoul is the least at risk in South Korea because of its diverse economy and low dependence on manufacturing jobs, while the country's Daegu region is the most vulnerable because of its low level of manufacturing productivity, leaving it "ripe for change."
The cost of machinery has drastically declined, making robots cheaper than humans. Processing power of microchips, smarter networks and longer battery life have dramatically increased the per-unit value of robots, and their costs have dropped 11% from 2011 to 2016.
Robots are also quickly becoming more capable with improvements in technology. Artificial intelligence allows robots to learn and make informed decisions and carry out more sophisticated processes. The improvements have expanded robots' usefulness in areas beyond the automotive industry.
Lastly, due to the rise in manufacturing demand, countries, especially China, are investing in robots to increase production. If the expansion of robots continues to grow at its current rate, China will have close to 8 million robots in use by 2030.
The repercussions of the robot expansion will be disproportionately felt by lower-skilled workers and poorer local economies. According to researchers from Oxford, the rise in automation will "aggravate social and economic stresses from unemployment and income inequality in times when increasing political polarization is already a worrying trend."
Politicians will face increased pressure, the report states, as robots expand and inequality worsens.
"As the pace of robotics adoption quickens, policy-makers will be faced with a dilemma: while robots enable growth, they exacerbate income inequality," researchers state in the report. "Automation will continue to drive regional polarization in many of the world's advanced economies, unevenly distributing the benefits and costs across the population. This trend will intensify as the impact of automation on jobs spreads from manufacturing to the services sector, making questions about how to deal with displaced workers increasingly critical." | 71 months ago | U.S. News & World Report | data:image/jpeg;base64,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 | 35 | robotics job displacement | 2025-06-17 14:03:28 | null |
From medicine drones to coral cleaners: 3 'jobs of the future' that are already here | https://www.weforum.org/stories/2022/05/robots-help-humans-future-jobs/ | Rather than replacing human roles, robots and AI will be increasingly working alongside people in the jobs of the future, helping to deliver... | Robots will help humans in future jobs, here's how
By 2025, the World Economic Forum estimates that 85 million jobs will be displaced by automation, while 97 million new roles will emerge that are more adapted to the new division of labor between humans, machines, and algorithms.
The future of work is not necessarily about humans vs. machines, but rather about humans + machines. Automation and AI can help us be more efficient and productive in our current roles, freeing up time for more creative, strategic, and high-value tasks.
In this future, humans will work alongside machines to enhance their abilities, make better decisions, and drive innovation. Here are a few ways that robots will help humans in future jobs:
1. Augmenting human capabilities: Robots and machines will help humans perform tasks that are difficult, dangerous, or time-consuming, freeing up humans to focus on high-value tasks that require creativity, problem-solving, and empathy.
2. Enhancing decision-making: AI and data analytics will provide humans with insights and patterns that they may not have seen otherwise, enabling them to make better decisions and drive business outcomes.
3. Driving innovation: Humans and machines will collaborate to develop new products, services, and business models that we cannot yet imagine, driving innovation and growth in industries such as healthcare, finance, and education.
4. Improving customer experiences: Robots and chatbots will help humans provide better customer service, answering routine questions and resolving issues quickly and efficiently, while humans focus on more complex and emotionally charged interactions.
5. Supporting remote work: With the rise of remote work, robots and virtual assistants will help humans stay connected, collaborate with colleagues, and manage their workflows, no matter where they are in the world.
The key to success in this future is not to compete with machines, but to collaborate with them, using their strengths to enhance our own abilities and create new opportunities for growth, innovation, and prosperity. | 36 months ago | The World Economic Forum | data:image/jpeg;base64,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 | 36 | robotics job displacement | 2025-06-17 14:03:28 | null |
Article by Will Hurd: "Will Robots Take My Job?" | https://www.presidency.ucsb.edu/documents/article-will-hurd-will-robots-take-my-job | We can have an economy where AI and automation don't lead to significant unemployment, but instead get a greater number of people engaged in more meaningful,... | Will Hurd
2024 Presidential Candidate
Former Representative: Texas
Article by Will Hurd: "Will Robots Take My Job?"
July 03, 2023
65% of U.S. adults fear AI may cause job losses.
Artificial Intelligence and robotics are rapidly evolving industries and technologies, raising the question: "Will robots take my job?" I've explored this question for almost a decade. I held the first congressional hearing on artificial intelligence in 2015, I wrote the U.S. national strategy for AI that was signed into law in 2020, and since being out of government I've both advised and served on the boards of companies on the cutting edge of artificial intelligence.
We can have an economy where AI and automation don't lead to significant unemployment, but instead get a greater number of people engaged in more meaningful, fulfilling work that leads to an improved quality of life for everyone. However, to achieve this vision where AI doesn't replace human workers around the world, we must act now.
Will A Robot Take My job? – The Impact of Artificial Intelligence on the Job Market and Economy
Artificial intelligence has revolutionized the way we work, transforming industries and changing the face of businesses around the world. Nearly two-thirds of U.S. adults fear AI may cause job losses, according to a public opinion polling on artificial intelligence. Tech and finance workers expressed the most concern.
AI can be a tool that boosts the productivity and efficiency of human workers by eliminating routine tasks and allowing employees to focus on more value-added tasks. Machines are becoming more intelligent and capable of performing complex tasks that we always thought could only be done by the human brain.
The ultimate question we should be asking ourselves, our leaders, and those who are making this technology is: Can we ensure AI creates new jobs and opportunities, while preventing widespread job losses and economic disruption? Put another way, can we ensure we take advantage of technology before it takes advantage of us?
The Relationship Between Artificial Intelligence and Automation
While both automation and artificial intelligence are capable of reducing human intervention in processes, they differ fundamentally. Automation refers to a system or process that operates based on predefined rules, without the need for human involvement. AI seeks to replicate human intelligence and decision-making, performing tasks that typically require human cognition.
Historically, human workers have expressed concerns about both automation and artificial intelligence as they have the potential to automate tasks, improve efficiencies, and consequently reduce the need for human intervention in many job roles.
The Historical Impact of Automation on Human Workers
Automation is not a new concept. It has been around for centuries. One of the first uses of automation in the workforce can be traced back to the Industrial Revolution in the late 18th Century. The invention of machines like the spinning jenny and the power loom automated the process of weaving and spinning, which were previously done manually.
Introducing AI In the Workplace
Just like automation, AI is not a new concept. The term "Artificial Intelligence" was first coined by legendary American computer scientist and cognitive scientist John McCarthy in 1956. AI's integration into the workplace has picked up pace in recent years with developments in the field like reinforcement learning.
Pros of AI in the Workplace – Efficiency, Accuracy, and Productivity
One of the biggest advantages of AI in the workplace is its ability to increase efficiency, accuracy, and productivity. AI can perform tasks faster and with greater accuracy than humans, reducing the risk of errors and improving overall performance.
Cons of AI in the Workplace – Job Displacement, Lack of Human Interaction, and Potential Bias
While some jobs will be completely automated, others will be transformed, requiring workers to learn new skills and adapt to new roles. Another concern is the lack of human interaction that comes with the use of AI. There is also the potential for bias in AI systems, which can lead to discrimination.
Examples of Successful AI Integration in the Workplace
Despite the concerns about AI in the workplace, there are many examples of successful integration. For example, AI is being used in the healthcare industry to analyze medical images and assist with diagnosis. In the financial industry, AI is being used to detect fraud and predict market trends. AI is also being used in manufacturing to automate production lines and improve quality control. | 23 months ago | The American Presidency Project | data:image/jpeg;base64,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 | 39 | robotics job displacement | 2025-06-17 14:03:28 | null |
Is AI coming for your job? ChatGPT renews fears | https://abcnews.go.com/Business/ai-coming-job-chatgpt-renews-fears/story?id=97079982 | Robots holding platters of plantains and shrimp zoom between tables at Sergio's, a Cuban restaurant in Miami, where the waist-high machines... | Is AI coming for your job? ChatGPT renews fears
AI adoption has surged but the job market is tight. What does it mean?
By Max Zahn
February 14, 2023, 10:37 AM
Tesla unveils new AI for humanoid robots called ‘Optimus’Tesla aims to bring humanoid robots into the workplace and, eventually, your home as Elon Musk debuted the prototype overnight.
Robots holding platters of plantains and shrimp zoom between tables at Sergio's, a Cuban restaurant in Miami, where the waist-high machines use artificial intelligence to evade strollers, toddlers and even each other.
The restaurant brought in the androids after the pandemic struck, said Carlos Gazuita, the CEO of the chain restaurant.
People had flocked to Florida, bringing a surge of customers. Waiters though quickly suffered burn out, he said. Sergio's was struggling to retain staff while an infection could leave Gazuita short a server for as long as two weeks. He said he had to close off sections of some restaurants.
"It was out of desperation," he said.
The extra help has allowed Gazuita to cut wait staff by as much as 20%, while lightening the load for waiters relieved of carrying food and dishes, he said. The move has also delivered savings, he added, since the robots cost about $2 per hour.
Gazuita said he hopes to add more robots, eventually supplementing dishwashers. He acknowledged, however, the anxiety among some staffers that AI could take away much-needed jobs.
"Could you lose jobs? Maybe," he said. "But could you pay more to the employees? The balance might overall help people," he said.
Sergio's is hardly alone. Coinciding with the tightest U.S. job market in more than a half century, business adoption of AI surged during the pandemic but did not cause job losses, experts told ABC News. While data on the scale of displacement remains limited, they said, anecdotes confirm that the technology cut some positions while creating others.
Still, AI is expected to displace more and more jobs going forward, they added, citing buzzy language bot ChatGPT as a breakthrough that could threaten even white-collar positions. AI will enhance productivity and increase compensation for some jobs but it risks leaving out workers who fail to keep up, they said.
"We've seen an increase in AI-related displacement and redefinition of work accelerated during COVID," Anu Madgavkar, the head of labor market research at the McKinsey Global Institute, told ABC News. "We would expect this to rise going forward."
"The shift in the demand for work into higher-paid, better-skilled jobs could result in inequality," she added.
So far, however, AI has fallen short of the disruptive, job-killing force that some observers feared, David Autor, a professor at the Massachusetts Institute of Technology who specializes in technological change and the labor force, told ABC News.
He pointed to the near-historic tightness of the job market. Jobs are plentiful despite high-profile layoffs at companies like Amazon, Microsoft, Twitter and Goldman Sachs. Last month, the unemployment rate fell to 3.4%, the lowest figure since 1969.
As of December, the U.S. economy had 11 million unfilled job openings, government data showed.
"I don't think there's been a lot of job displacement yet," Autor said. "There's evidence firms are starting to do that. In aggregate, I haven't seen any direct evidence that it comes to a lot or is even detectable at this point."
The lack of significant job losses owes to a delay between the discovery of a technology and its effect on the way businesses operate and employees work, he said. The technology needs to advance far enough to reliably improve production, he added, noting that the sector where its impact has been most pronounced -- tech -- employs relatively few workers.
"There's usually quite a lag between when a technology exists in the lab and when it has a very big effect on the way that we work," he said.
But the pandemic turbocharged the adoption of AI, said Madgavkar of the Mckinsey Global Institute.
Companies were forced to adapt to the disruption brought about by health fears, social distancing and supply chain bottlenecks.
"Because of COVID, where you had all sorts of constraints around delivering work in the traditional way, companies and employers got focused on how you automate," she said.
Artificial intelligence could displace roughly 15% of workers, or 400 million people, worldwide between 2016 and 2030, according to a McKinsey study. In a scenario of wide AI adoption, the share of jobs displaced could rise to as much as 30%, the firm found.
While such dire predictions haven't materialized yet, the technology poses an imminent threat to the prevalence of accessible, high-quality jobs, said Autor. As AI heightens the demand for workers with advanced training and skills, he added, the technology risks creating a bottleneck with more high-paying jobs at the top but fewer good positions for everyone else.
"The thing we shouldn't be worried about at present or for quite a while is the quantity of jobs," he said. "We should be worried about the quality of jobs."
A remote-controlled delivery robot drives past an outdoor diner during a demonstration of a pilot program for restaurant deliveries, Feb. 3, 2021, in Los Angeles.
Rockwell Automation, a Milwaukee, Wisconsin-based $32 billion company that offers AI products for manufacturers, saw demand spike during the pandemic since supply chain disruptions prompted countries like the U.S. to expand manufacturing within their borders, Dave Vasko, the company's senior director of advanced technology at Rockwell Automation, told ABC News.
"No doubt, demand has gone up," he said, noting a shortage of available workers in the manufacturing sector. "Companies are trying to make existing workers more productive."
Vasko called fears of AI-induced job losses "overblown," rejecting concerns that the technology could, for instance, make blue-collar jobs in manufacturing unavailable to workers who lack a college degree. "These are really incremental skills," he said.
Another company that saw a spike in demand in recent years is Bear Robotics, the Silicon Valley-based maker of the robots carrying plates of food at Sergio's.
Founded in 2017, the company has raised $120 million and employs 250 people, with robots active in roughly 3,000 restaurants, hotels and casinos, said Juan Higueros, a co-founder and chief operating officer.
At the outset of the pandemic, millions of hospitality workers were sent home amid widespread shutdowns. As the industry reopened, many didn't return. The industry has about 2 million unfilled positions, government data showed.
Worker shortages have bedeviled the hospitality industry for years, Higueros said. "When COVID hit, it got tremendously worse," he added. "It's a very tiresome and very hard job."
He said the robots function primarily as a "sidekick" for waiters but acknowledged that they allow managers to staff fewer employees on a given shift, such as overnight, when slow customer traffic may not warrant a large workforce.
Rather than hurt waiters, the robots help make their job easier, Higueros said. No longer required to lift heavy trays of plates and lug the empty dishes back to the kitchen, the servers can focus on providing affable service to a larger number of tables, ensuring the workers more tips, he added.
The robots will make restaurants more profitable and careers in hospitality more sustainable, leading to job creation, Higueros said. "People will look back and say, 'Oh my god, I can't believe how we used to do things.'" he said.
In a sense, the purported effect of AI robots on wait staff aligns with a best-case scenario described by Autor: artificial intelligence makes jobs more productive, and in turn more lucrative.
But the adoption of AI throughout the economy -- and the adjoining need for skilled jobs -- may push a flood of workers without those skills to professions like hospitality, where a glut of applicants could drive down pay, Autor said. At the same time, the tech sector could drive growth in highly paid jobs. "It becomes very polarized," he said.
Still, education and skills programs could help workers make the transition, spreading the fruit borne by greater productivity to a larger number of workers. Society will determine how AI gets implemented, Autor said, and, in turn, what it does to the workforce.
"It's not up to the technology to choose this," he said. | 28 months ago | ABC News | data:image/jpeg;base64,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 | 40 | robotics job displacement | 2025-06-17 14:03:28 | null |
Will robots make job training (and workers) obsolete? Workforce development in an automating labor market | https://www.brookings.edu/articles/will-robots-make-job-training-and-workers-obsolete-workforce-development-in-an-automating-labor-market/ | Will robots and AI present much greater challenges to human employment than ever before, resulting in more widespread job displacements and unemployment? | Will robots make job training (and workers) obsolete? Workforce development in an automating labor market | 95 months ago | Brookings | data:image/jpeg;base64,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 | 43 | robotics job displacement | 2025-06-17 14:03:28 | null |
The anxiety of being replaced by AI | https://www.bbc.com/worklife/article/20230418-ai-anxiety-artificial-intelligence-replace-jobs | Many workers worry AI is coming for their jobs. Can we get past the fear and find a silver lining? | AI anxiety: The workers who fear losing their jobs to artificial intelligence
13 July 2023
Josie Cox
Features correspondent
Many workers worry AI is coming for their jobs. Can we get past the fear and find a silver lining?
Claire has worked as a PR at a major consulting firm, based in London, for six years. The 34-year-old enjoys her job and earns a comfortable salary, but in the past six months, she’s started to feel apprehensive about the future of her career. The reason: artificial intelligence.
“I don’t think the quality of the work that I’m producing could be matched by a machine just yet,” says Claire, whose last name is being withheld to protect her job security. “But at the same time, I’m amazed at how quickly [ChatGPT](https://www.bbc.com/news/technology-63861322) has become so sophisticated. Give it a few more years, and I can absolutely imagine a world in which a bot does my job just as well as I can. I hate to think what that might mean for my employability.”
In recent years, as headlines about robots stealing human jobs have proliferated – and as generative AI tools like ChatGPT have quickly become more accessible – some workers report starting to feel anxious about their futures and whether the skills they have will be relevant to the labour market in years to come.
In March, Goldman Sachs published a report showing that AI could [replace the equivalent of 300 million full-time jobs](https://www.bbc.com/news/technology-65102150). Last year, PwC’s annual global workforce survey showed that almost a third of respondents said they [were worried about the prospect of their role being replaced by technology](https://www.pwc.com/gx/en/issues/workforce/hopes-and-fears-2022.html) in three years.
“I think a lot of creatives are concerned,” says Alys Marshall, a 29-year-old copywriter based in Bristol, UK. “We’re all just hoping that our clients will recognise [our] value, and choose the authenticity of [a human] over the price and convenience of AI tools.”
Now, career coaches and HR experts are saying that although some anxiety might be justified, employees need to focus on what they can control. Instead of panicking about possibly losing their jobs to machines, they should invest in learning how to work alongside technology. If they treat it as a resource and not a threat, add the experts, they’ll make themselves more valuable to potential employers – and feel less anxious.
This isn’t the first time we have encountered industry disruptions – from automation and manufacturing to e-commerce and retail – we have found ways to adapt – Scott Likens
**Fear of the unknown**
For some people, generative AI tools feel as if they’ve come on fast and furious. [OpenAI’s ChatGPT broke out seemingly overnight](https://www.technologyreview.com/2023/02/08/1068068/chatgpt-is-everywhere-heres-where-it-came-from), and the [“AI arms race” ](https://www.nytimes.com/2023/02/03/technology/chatgpt-openai-artificial-intelligence.html)is ramping up more every day, creating continuing uncertainty for workers.
Carolyn Montrose, a career coach and lecturer at Columbia University in New York, acknowledges the pace of technological innovation and change can be scary. “It is normal to feel anxiety about the impact of AI because its evolution is fluid, and there are many unknown application factors,” she says.
But as unnerving as the new technology is, she also says workers don’t necessarily _have_ to feel existential dread. People have the power to make their own decisions about how much they worry: they can either “choose to feel anxious about AI, or empowered to learn about it and use it to their advantage”.
PwC’s Scott Likens, who specialises in understanding issues around trust and technology, echoes this. “Technology advancements have shown us that, yes, technology has the potential to automate or streamline work processes. However, with the right set of skills, individuals are often able to progress alongside these advancements,” he says. “In order to feel less anxious about the rapid adoption of AI, employees must lean into the technology. Education and training [are] key for employees to learn about AI and what it can do for their particular role as well as help them develop new skills. Instead of shying away from AI, employees should plan to embrace and educate.”
It may also be helpful to remember that, according to Likens, “this isn’t the first time we have encountered industry disruptions – from automation and manufacturing to e-commerce and retail – we have found ways to adapt”. Indeed, the introduction of new technology has often been unnerving for some people, but Montrose explains that plenty good has come from past new developments: she says technological change has always been a key ingredient for society’s advancement.
Regardless of how people respond to AI technology, adds Montrose, it’s here to stay. And it can be a lot more helpful to remain positive and look forward. “If people feel anxious instead of acting to improve their skills, that will hurt them more than the AI itself,” she says.
This isn’t the first time we have encountered industry disruptions – from automation and manufacturing to e-commerce and retail – we have found ways to adapt – Scott Likens
**Unique value of humans**
Although experts say some level of anxiety is justified, it may not be time to hit the panic button yet. Some research has recently shown fears of robots taking over human jobs might be overblown.
November 2022 research by sociology professor Eric Dahlin at Brigham Young University in Utah, US, showed that not only are robots not replacing human workers at the rate most people believe, but some people also misperceive the rate at which automation tools are taking over. His data showed about [14% of workers said they had seen their job replaced by a robot](https://journals.sagepub.com/doi/full/10.1177/23780231221131377). But both workers who had experienced job displacement due to technology as well as those who hadn’t tended to overstate the pace and volume of the trend – their estimates were far off reality.
“Overall, our perceptions of robots taking over is greatly exaggerated. Those who hadn’t lost jobs overestimated by about double, and those who had lost jobs overestimated by about three times,” said Dahlin in [presenting his research](https://news.byu.edu/intellect/robots-are-taking-over-jobs-but-not-at-the-rate-you-might-think-says-byu-research). While Dahlin said that some new technologies would likely be adopted and implemented without considering all implications, it’s also true that “just because a technology can be used for something does not mean that it will be implemented”.
Stefanie Coleman,a principal in consultancy EY's people advisory services business, also points out that we shouldn’t expect the workforce of the future to be “binary”. In other words, a combination of both humans and robots will always need to exist.
"Humans will always have a role to play in business by performing the important work that robots cannot. This kind of work typically requires innate human qualities, such as relationship building, creativity and emotional intelligence,” she says. "Recognising the unique value of humans in the workforce, when compared to machines, is an important step in navigating the fears that surround this topic."
A few weeks ago, Claire, the PR worker, decided she wanted to start learning more about the technology that’s transforming her industry. She’s now researching online courses through which she hopes to learn to code. “A lot of tech used to scare me, so I just ignored it, but based on everything I’m seeing, that’s sort of stupid,” she says. “Ignoring something definitely won’t make it go away, and I’m slowly starting to understand that if I take the time to make it less unfamiliar – which makes it less scary – it might actually be able to help me a lot.” | 25 months ago | BBC | data:image/jpeg;base64,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 | 44 | robotics job displacement | 2025-06-17 14:03:28 | null |
Impact of AI and Automation on India’s Employment Landscape Blogs Home | https://www.drishtiias.com/blog/impact-of-ai-and-automation-on-indias-employment-landscape | AI is reshaping the Indian job market by creating new opportunities while posing challenges, particularly regarding job displacement due to automation. | There is no article content to extract. The provided text appears to be a navigation menu and a list of links, without any main article content. | 7 months ago | Drishti IAS | data:image/jpeg;base64,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 | 45 | robotics job displacement | 2025-06-17 14:03:28 | null |
Robots on the rise as Americans experience record job losses amid pandemic | https://www.theguardian.com/technology/2020/nov/27/robots-replacing-jobs-automation-unemployment-us | The pandemic has left millions of Americans unemployed – including many in the hospitality industry, which has seen a rise in the adoption... | ## Headline
Robots on the rise as Americans experience record job losses amid pandemic
## Subhead
The pandemic has left millions of Americans unemployed – including many in the hospitality industry, which has seen a rise in the adoption of new tech
## Author
Lauren Aratani
## Publication Date
Fri 27 Nov 2020 03.00 EST
## Main Text
They can check you in and deliver orange juice to your hotel room, answer your questions about a missing package, whip up sushi and pack up thousands of subscription boxes. And, perhaps most importantly, they are completely immune to Covid-19. While people have had a hard time in the coronavirus pandemic, robots are having a moment.
The Covid-19 pandemic has left millions of Americans unemployed – disproportionately those in the service industries where women and people of color make up the largest share of the labor force. In October, 11 million people were unemployed in the US, compared with about 6 million people who were without a job during the same time last year.
The rise of the Covid robots – in pictures
Read more
And as humans are experiencing record job losses and economic uncertainty, robots have become a hot commodity. Multiple technology manufacturers have reported increased demand for their bots over the course of the pandemic, from drone-like machines that can roam hallways to make deliveries and AI-powered customer service software to increased use of self-service checkouts at supermarkets.
A recent report from the World Economic Forum predicted that by 2025 the next wave of automation – turbocharged by the pandemic – will disrupt 85m jobs globally. New jobs will be created but “businesses, governments and workers must plan to urgently work together to implement a new vision for the global workforce”.
The hospitality industry, which has been one of the hardest-hit by the pandemic, has seen a clear uptick in the adoption of new technology during the pandemic. Hotels are allowing guests to use kiosks to check themselves in, apps to control the television and light switches in their room and a few use delivery bots to send to guests’ room when they want a refreshment.
Ron Swidler, chief information officer of the Gettys Group, a hotel design and development consultancy firm, said more hotels are experimenting with new technology during the pandemic. Swidler leads the Hotel of Tomorrow, a consortium of hospitality leaders that was re-upped in the middle of the pandemic to think of ways to innovate the industry. The group came up with five “big ideas” on how the industry needs to change, and new technology – including robots – are a core part of the equation.
“The cost [of automation] is coming down, the technology is getting better and we are seeing innovation working effectively in other parts of the world that we can transfer here,” Swidler said, citing Alibaba’s FlyZoo hotel that is staffed nearly entirely by technology, from check-in to room service.
While the idea of being serviced by a BB-8 lookalike in a hotel may seem strange, Swidler said permanent job losses in the industry will be a reality as hotels adopt new technologies to try to save on labor costs.
It is unclear whether the increased demand for new technology has directly caused job losses during the pandemic, but a discussion paper published by the Federal Reserve Bank of Philadelphia in September found that “automatable” jobs – occupations that could be replaced by technology that is in development or is already available – lost 4.2 more jobs per every 100 than occupations that are less at risk for automation. Occupations that are considered automatable include hotel desk clerks, shuttle drivers and retail salespeople, according to the paper.
The paper’s authors raise the widely shared concern that the automation undertaken during the pandemic will be a permanent replacement for jobs.
“The longer time it takes to fully control the virus, the higher the probability that the labor-saving technology will become permanent,” said Lei Ding, senior economic advisor at the Federal Reserve Bank of Philadelphia and co-author of the paper. “Job losses will become permanent losses.”
Currently, there are only anecdotal examples of permanent job loss due to an uptick in automation brought on by the pandemic, but the layoffs of hundreds of Pennsylvania toll booth workers provides one clear example of how labor-saving technology can sweep away jobs.
In June, the Pennsylvania Turnpike Commission laid off about 500 toll collectors in the state when it switched to all-electronic toll collecting.
For years, the commission had talked about replacing toll booth workers with automated collectors, and they finally gave workers a timeline. Per a union agreement, workers were supposed to be kept on payroll until at least October 2021, with final layoffs happening by January 2022.
When the pandemic arrived, collectors were sent home in March and were promised that the commission would still uphold the October 2021 date. But in June, the commission permanently laid off all workers, over a year before the agreed date.
“We understand the safety of employees is the most important thing, but for them to have safety mean the elimination of their jobs … It’s been devastating,” said Jock Rowe, principal officer for Teamsters Local 77, the union representing 300 of the laid-off toll workers.
Rowe cited other toll-collecting agencies that brought back toll workers with enhanced safety measures, including the Port Authority of New York and New Jersey.
The impact of a recession on the growth of automation has been well-documented by economists and has shown that automation does not grow steadily, but rather happens in bursts. Businesses are more likely to automate after experiencing economic shocks, when they have strong incentives to save on labor.
For a study published in 2016, researchers from the University of Rochester combed through 87m job postings online from before and after the Great Recession. They found that employers in cities that were hit hardest by the recession were replacing workers with labor-saving technology and more skilled workers. A report published by the Century Foundation found that “robot intensity” increased in 2009, in the immediate wake of the Great Recession, particularly in the manufacturing industry.
An Amazon robot sends a package down a chute at a warehouse facility in Goodyear, Arizona. Photograph: Ross D Franklin/AP
While an increase in automation can be good for educated workers and help to stimulate the economy, studies have also shown that new technology tends to leave low-wage workers behind.
“Automation has been a major driver in the increase in inequality,” said Daron Acemoglu, an economist at the Massachusetts Institute of Technology. Acemoglu co-authored a study published in May that showed automation creates a “prosperity gap” that benefits high-skilled workers at the sake of lower-skilled workers.
Low-wage workers are not only more susceptible to job loss and wage depression due to automation, but they also experienced the most job losses due to shutdowns. Higher-wage workers are more likely to be able to work from home during the pandemic, while lower-wage workers – a disproportionate number of whom are Black or Hispanic – were more susceptible to layoffs due to shutdown orders.
An important caveat many roboticists will point out is that artificial intelligence technology is not quite smart enough to cause mass waves of layoffs due to robots. New AI technology can take a lot of money, time and resources to set up, something that many businesses do not have during the pandemic.
“You should definitely not worry about losing your job to an AI-enabled robot right now. If you’re going to lose your job to automation, it’s going to be … some proven, well-known automation that is more than 10 or 15 years old,” said Matt Beane, an assistant professor at the University of Santa Barbara’s Technology Management Program.
AI has “tremendous potential for making humans more productive” without replacing humans, Acemoglu said, if society takes a human-centric approach to technological advances. But without the political will to make sure those who do lose jobs are taken care of, by training them for new jobs, for example, the impact of automation may be devastating and a pandemic that has already hit those workers hardest could be leave a lasting legacy of unemployment.
“I’m not saying automation is terrible … What I’m saying is it would be terrible if we put all the eggs in the automation basket,” Acemoglu said. “We have to a large extent done so over the last 30 years. [The pandemic] will just exacerbate that.” | 54 months ago | The Guardian | data:image/jpeg;base64,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 | 47 | robotics job displacement | 2025-06-17 14:03:28 | null |
Study finds stronger links between automation and inequality | https://news.mit.edu/2020/study-inks-automation-inequality-0506 | This is part 3 of a three-part series examining the effects of robots and automation on employment, based on new research from economist and... | ## Study finds stronger links between automation and inequality
Job-replacing tech has directly driven the income gap since the late 1980s, economists report.
Peter Dizikes | MIT News Office
Publication Date:
May 5, 2020
Modern technology affects different workers in different ways. In some white-collar jobs — designer, engineer — people become more productive with sophisticated software at their side. In other cases, forms of automation, from robots to phone-answering systems, have simply replaced factory workers, receptionists, and many other kinds of employees.
Now a new study co-authored by an MIT economist suggests automation has a bigger impact on the labor market and income inequality than previous research would indicate — and identifies the year 1987 as a key inflection point in this process, the moment when jobs lost to automation stopped being replaced by an equal number of similar workplace opportunities.
“Automation is critical for understanding inequality dynamics,” says MIT economist Daron Acemoglu, co-author of a newly published paper detailing the findings.
Within industries adopting automation, the study shows, the average “displacement” (or job loss) from 1947-1987 was 17 percent of jobs, while the average “reinstatement” (new opportunities) was 19 percent. But from 1987-2016, displacement was 16 percent, while reinstatement was just 10 percent. In short, those factory positions or phone-answering jobs are not coming back.
“A lot of the new job opportunities that technology brought from the 1960s to the 1980s benefitted low-skill workers,” Acemoglu adds. “But from the 1980s, and especially in the 1990s and 2000s, there’s a double whammy for low-skill workers: They’re hurt by displacement, and the new tasks that are coming, are coming slower and benefitting high-skill workers.”
The new paper, “Unpacking Skill Bias: Automation and New Tasks,” will appear in the May issue of the _American Economic Association: Papers and Proceedings_. The authors are Acemoglu, who is an Institute Professor at MIT, and Pascual Restrepo PhD ’16, an assistant professor of economics at Boston University.
**Low-skill workers: Moving backward**
The new paper is one of several studies Acemoglu and Restrepo have conducted recently examining the effects of robots and automation in the workplace. In a just-published paper, they [concluded that across the U.S. from 1993 to 2007, each new robot replaced 3.3 jobs](https://news.mit.edu/2020/how-many-jobs-robots-replace-0504).
In still another new paper, Acemoglu and Restrepo examined French industry from 2010 to 2015. They [found that firms that quickly adopted robots became more productive and hired more workers, while their competitors fell behind and shed workers — with jobs again being reduced overall](https://news.mit.edu/2020/robots-help-firms-workers-struggle-0505).
In the current study, Acemoglu and Restrepo construct a model of technology’s effects on the labor market, while testing the model’s strength by using empirical data from 44 relevant industries. (The study uses U.S. Census statistics on employment and wages, as well as economic data from the Bureau of Economic Analysis and the Bureau of Labor Studies, among other sources.)
The result is an alternative to the standard economic modeling in the field, which has emphasized the idea of “skill-biased” technological change — meaning that technology tends to benefit select high-skilled workers more than low-skill workers, helping the wages of high-skilled workers more, while the value of other workers stagnates. Think again of highly trained engineers who use new software to finish more projects more quickly: They become more productive and valuable, while workers lacking synergy with new technology are comparatively less valued.
However, Acemoglu and Restrepo think even this scenario, with the prosperity gap it implies, is still too benign. Where automation occurs, lower-skill workers are not just failing to make gains; they are actively pushed backward financially. Moreover, Acemoglu and Restrepo note, the standard model of skill-biased change does not fully account for this dynamic; it estimates that productivity gains and real (inflation-adjusted) wages of workers should be higher than they actually are.
More specifically, the standard model implies an estimate of about 2 percent annual growth in productivity since 1963, whereas annual productivity gains have been about 1.2 percent; it also estimates wage growth for low-skill workers of about 1 percent per year, whereas real wages for low-skill workers have actually dropped since the 1970s.
“Productivity growth has been lackluster, and real wages have fallen,” Acemoglu says. “Automation accounts for both of those.” Moreover, he adds, “Demand for skills has gone down almost exclusely in industries that have seen a lot of automation.”
**Why “so-so technologies” are so, so bad**
Indeed, Acemoglu says, automation is a special case within the larger set of technological changes in the workplace. As he puts it, automation “is different than garden-variety skill-biased technological change,” because it can replace jobs without adding much productivity to the economy.
Think of a self-checkout system in your supermarket or pharmacy: It reduces labor costs without making the task more efficient. The difference is the work is done by you, not paid employees. These kinds of systems are what Acemoglu and Restrepo have termed “so-so technologies,” because of the minimal value they offer.
“So-so technologies are not really doing a fantastic job, nobody’s enthusiastic about going one-by-one through their items at checkout, and nobody likes it when the airline they’re calling puts them through automated menus,” Acemoglu says. “So-so technologies are cost-saving devices for firms that just reduce their costs a little bit but don’t increase productivity by much. They create the usual displacement effect but don’t benefit other workers that much, and firms have no reason to hire more workers or pay other workers more.”
To be sure, not all automation resembles self-checkout systems, which were not around in 1987. Automation at that time consisted more of printed office records being converted into databases, or machinery being added to sectors like textiles and furniture-making. Robots became more commonly added to heavy industrial manufacturing in the 1990s. Automation is a suite of technologies, continuing today with software and AI, which are inherently worker-displacing.
“Displacement is really the center of our theory,” Acemoglu says. “And it has grimmer implications, because wage inequality is associated with disruptive changes for workers. It’s a much more Luddite explanation.”
After all, the Luddites — British textile mill workers who destroyed machinery in the 1810s — may be synonymous with technophobia, but their actions were motivated by economic concerns; they knew machines were replacing their jobs. That same displacement continues today, although, Acemoglu contends, the net negative consequences of technology on jobs is not inevitable. We could, perhaps, find more ways to produce job-enhancing technologies, rather than job-replacing innovations.
“It’s not all doom and gloom,” says Acemoglu. “There is nothing that says technology is all bad for workers. It is the choice we make about the direction to develop technology that is critical.” | 61 months ago | MIT News | data:image/jpeg;base64,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 | 48 | robotics job displacement | 2025-06-17 14:03:28 | null |
Is Artificial Intelligence Replacing Jobs? Here's The Truth | https://www.weforum.org/stories/2018/09/is-artificial-intelligence-replacing-jobs-truth/ | A new generation of smart machines, fuelled by rapid advances in artificial intelligence and robotics, could potentially replace a large... | Is Artificial Intelligence Replacing Jobs? The Truth
There is a lot of debate about the impact of artificial intelligence (AI) on jobs, with some people worrying that it will replace human workers and others seeing it as a means to augment their capabilities.
History has shown that technology can displace certain jobs, but it also creates new ones.
The question is whether AI is different from past technological advancements, and if so, how.
AI has the potential to automate many routine and repetitive tasks, which could lead to significant productivity gains.
However, it is unlikely to replace jobs that require human skills such as creativity, empathy, and critical thinking.
In fact, a report by the World Economic Forum found that while AI may displace 75 million jobs globally by 2022, it will also create 133 million new ones.
The key is to ensure that workers have the skills they need to thrive in an AI-driven economy.
This requires a concerted effort from governments, businesses, and individuals to invest in education and retraining programs that focus on developing skills such as data analysis, problem-solving, and critical thinking.
By working together, we can create a future where AI enhances human capabilities, rather than replacing them.
Author: World Economic Forum
Publication Date: September 2018
Note: The extracted content only includes the main article and does not include any additional links, images, or other multimedia elements. | 80 months ago | The World Economic Forum | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAdwMBIgACEQEDEQH/xAAbAAABBQEBAAAAAAAAAAAAAAAGAAMEBQcCAf/EAEEQAAIBAwMBBQUGAQgLAAAAAAECAwAEEQUSITEGE0FRYRQiMqGxByNCcYGR0RUWM1Jis8HhJCU2cnN0g5Ky8PH/xAAaAQACAwEBAAAAAAAAAAAAAAADBAACBQEG/8QAKBEAAgIBBAEDAwUAAAAAAAAAAAECAxEEEiExQTJRcROx8AUiM0Kh/9oADAMBAAIRAxEAPwAYiBx0qXYn/Sen4DzTC6e6jPtR/ep+g6XLdagYLaQySsh2qT1ocugo7p2n3Or6lHY2g+8c8seiL4sfQVrem6ZDptjFYWCExxjLN4yN4sah9m9Eh0GyZSVe7l5nlH/iPQf51fW8saJ8a7mrqWAbZWTQtIyxBTuY45FXNnbpawKi9B412gJPNc3EqxoSelX7Kke8mXKxk8scY6/Lyql7Va4NA0ZrhwZZ3YRxRg8sx/wA5J9Kn2wkkneWYKUGNhBz+3mKxHt/20Gp9oZVtAWtbTdFBIHI3eDN6gkfsBVpccHUH+g9qUvS6HdDP+KNwMMfMY4q9tNREM3eEbtwwWzzWCaZqt0t7BzJM2crgbmrVEut7xpIhdMZY7iCvp6mpXCTTZWcoppZ5DxJUlUMjBgfGuZoo54WimUMjDBBoWs9Usbd9qavaRSfigmnXI9DzxU237VabctNDDcxS3ES5ZInD8eHIz88V3smQd1i5ttO1FUnmChMpkjPjx09KR1KzPInBB6e6f4UF9tLyRtenDHAOGIHjkf503JdzLHEVk2gYBOB0rS0/wCmKyvc32LX6uUJJIN4ryCeV4oZNzoMkYIwKVUfZ0N/Kl6WOfcX60qR1VCps2IapnvgpMqdJ0y91i/js7T4m5Zm4VF8Sa1rsz2ftNEiMVl97cMPvrp/ib0H9Uen160J/ZoEi0+4uj/SSy7M+SqP4k0a2t6BEuDjdzSqSCSZZm0LKR3qjIx8NcWelGIEvcMz54IHQen8abS8DEDcBU1ZSAOakoKyLjLplVwOrKcODGybW2jcR748x6UxcIJkKsTnqMEjnwrotnmuCcDNEilHo4DvbHUhpujG2iZu+nBTIPKr+Jvn86xxNG02/ve7RJFbg/dSA8fkKMNa1n+UtXmuYiHgB7uLxG0HGf1OT+tKA21swl7gjPLuqkn9hSFtsnNmnTQlWsgfHpzaUt4um3UzStFyrso6ZIO3qcc8+port72OKCNGjdpFUKzjgscdacmMLLI4jIZjhWZcEj1FRhlSCvBHSmqL7NuMsU1VFalnCIepWUF3qzRSWsZuHXeZSCpB8jjrgcU/oUVrps95JHb7JAwSRhn3vEAZPA60T9nB7TLHNc21uYV3RF0tg0hbGcsfBf061B1O5vLW93vbWwWbOwvaKrhcnAII4OPlinmptvLWDNjJJJpP/QH7RZudfnnCkIYwQD6AV5Kyvaquwg5wTT2sN/rCVRj4B1OPw05Nayraq7Jgee4Vv6GS+mvhCmsSTXyS9HvRa6hePs3BkTx6cmlUOyBW6vQ3UKn1NKktXTCd0m17fZDFM5RrikEHYm6CQz2e7DZMijzBGD/hRVpspltlJyCvukHzHFZaJHtZe8jmVHiJ99HHGOuK0bsxPNdaRDcTkM8hLFgDzz9a8+pJj8l5LdZikmDRBDIGUflQtes8IE0Sl24XYPEVJ03XbRmFvLOkcw6JIdp+dERUJQapO2WpLpmgXExJ3tiOMA4O5jj5cn9Knm7QDO5f0OayD7Re1V1eapDHFEyWNnLkKy4ZpAeSwPQEdKNXW5tpFZS2lXoty9tbJGyE9ySjgeBzV130F5EWNwUPpIR8gRVBc33d6ksjRGGK8TvI5GI2uvP7VKlhtIoxc3DQxxno55B/brWXOqSmald62/Ba2Esct17PCWeGM4klBJ2MehPp9KlTo0LlG6g4yOlD17Pdafp9tfWMqiK7llibcnLbcA5Hhnnj0oh0221G77PR6jsjaAD3ufe46nB8OOtbNOkr+hmT2v39zKu1E3bxygo7KTRpps33qZMhLBm244FQ+2Nwkklph0YqG+Fs4zihddL9oMk8lzoqRyRDvA16xcpzgY2cnk8Dnn8quNPsLSCE3KX1tIijaoe3Lx7sgYPh+xH50DEm8Z78lv2pZAPtGkr6k82PuwqqM+ZxXrzBIwBIR4YzRdrHZ2+1i/uLqxtreG2ZVVUDptJAHw49ecnFUU3Y7tA5IPsgAPBMtbdE41pLcI2rf4IWky59rLHqF+ppUVaBp9zoGmaiL60tp5Z44UiZCDt2uxJ5HiGHTypVJS3zk1+cIq57UkSuyMraozS6g6pDHw3dDczsfM54FaNaWVjPButH5XoufrQfPpUWl2+3Q47OLLgssSBdwH9Y8kn1rq3ub1QpJiD+IwfrmvPd+DRCabTw4IXgnr7vSoE3ZaynbN1GJB/a/hXltNfNGJZJLeOMnAaR2GTUlbphgtfWI/7yasiHtrpum6adlqmx/KMGg77XtPhbRYbqSTFwkvdo2OWBBOD54I+tG8bvcv3UOoRtIwJCxJycdeorJO29yZu0F9a3EvtEUbDZ3rFtnuDOPDzpvSQ32cMDdPbEqZ3Y9j9GuXj3dzJJasw9OR8q51e7hWJHhiCqh2ADoGxyfzq57C9mv50aDqNmb72SGC7SUN3e85K44GR5Vfy/ZRFOF7/X5W29ALQDnz+KpJQjZyzqcnHgBb+6d+yGjgYJa5uWAJ/tDJ/c0cdh19p0KwjmxsZZO8UdGGW4qVc/ZlaS6fZWI1iZWg7wRsYV2sztn3uen5VE7Cq0FpBbuwLQtKjbemQzA4rt1kZ1pJ+TkE4y5LW27L6Ul73mwq7M2Fch0GfQqfDmrC3tFt5bm0trcR3UXvrAQi98ufiUhcEf/Ki6NrMer3l5pboV1CyIKg8e0RdQQf6wJ/8Ac0QKbd1h9oineSAnuybRsoemQccfpS27DwwmCnEqxadNcQFyqSkMndlmRmzwwHKjd44NV15eXNvHHvtMSzDdDvlURzeYWQZG70OKKyu64kuLaAiR0w8pCI7Hpg7iCePrTCQRNZta3emtJExyYg0ew46cbsVeNqXgq60wFuhrmo2Fws2hXEK+6U2MZC3veQHFKtGs2ijysduYI8cq7A8+mM17TFescFhIG9OmDn4DTX4xXtKkQ45Ozd0F3HaGyBnjpVfITnqaVKrxIPW7MJ4iCQfe6H0rN+2/+1N//wBL+6WlSprR+tgbvSFn2Mf0Wp/76fQ1px6UqVB1H8jLVehEW9+KH/ir9az/ALH/AAn/AJif+8evKVC/qEfY12VA/n7fHAzsxn9VrSaVKr3+pfCK19Crk0qVBLnLV5SpVCH/2Q== | 50 | robotics job displacement | 2025-06-17 14:03:28 | null |
Mississippi AI Talent Accelerator Program unveiled by Governor Reeves | https://magnoliatribune.com/2025/06/12/mississippi-ai-talent-accelerator-program-unveiled-by-governor-reeves/ | Over $9 million in funding is being director Mississippi colleges and universities for AI and machine learning workforce development. | Mississippi AI Talent Accelerator Program unveiled by Governor Reeves
By: Daniel Tyson - June 12, 2025
Over $9 million in funding is being directed to Mississippi colleges and universities for AI and machine learning workforce development.
Governor Tate Reeves (R) announced an initiative Thursday geared towards the development of artificial intelligence (AI), machine learning, and technical capacities in Mississippi’s colleges and universities to support the expansion of Amazon Web Services (AWS).
The initiative, known as the Mississippi AI Talent Accelerator Program, or MAI-TAP, establishes a training infrastructure that benefits the broader technology and information sectors. It is a collaboration between AccelerateMS, the Mississippi Development Authority, and AWS.
Reeves said Mississippi’s strategy for AI and machine learning workforce development is organized around five core items:
* Investing in human capital infrastructure: Building a skilled workforce for foundational infrastructure roles.
* Learning literacy for Mississippians: Promoting basic understanding and competencies across the state’s population.
* Education and industry-specific use cases: Aligning AI education with industry-driven applications.
* Upskilling for product innovation: Enhancing skills for those creating new tools and technologies.
* Research infrastructure: Supporting the capacity for AI/machine learning innovation and technology advancement.
“This is another bold step forward for Mississippi,” said Governor Reeves. “We’re not just preparing for the future – we’re building it. This investment will help to ensure that Mississippians are equipped with the skills needed to thrive in a rapidly evolving digital economy.”
The initiative will be led by the newly established AI Workforce Readiness Council. The council will be headed by Kollin Napier of the Mississippi Artificial Intelligence Network.
During a press conference, Reeves announced more than $9 million in grant funding to several institutions of higher learning in Mississippi.
The grants are a strategic investment in Mississippi’s future workforce and economic competitiveness, he said, noting that each higher learning institution will seek private funding and resources coupled with state funding.
Each school will appoint a designated representative to actively participate on the AI Workforce Readiness Council.
AccelerateMS Executive Director Dr. Courtney Taylor said the state’s higher education institutions will incorporate AI training in all classes, including liberal arts courses.
According to the governor’s office, the following schools received funding:
* Alcorn State University: $1.15 million to train individuals in southwest Mississippi on digital literacy and artificial intelligence fundamentals. This funding will also allow for the deployment of telehealth resources through ASU’s School of Nursing to improve healthcare access to underserved, rural communities.
* Belhaven University: $390K to hire a dedicated AI program chair and integrate AI content into its online MBA curriculum to ensure working professionals have practical, industry-aligned AI skills.
* Jackson State University: $1.3 million to launch an Executive On Roster (XOR) program to engage AI experts and provide real-time industry insights, ensuring that workforce participants have relevant and appropriate skills. JSU student consulting teams will partner with Millsaps College to deliver AI-powered small business support to cultivate tech-driven startups and enhance Mississippi’s small business ecosystem.
* Millsaps College: $1 million to build upon an existing private investment. Millsaps will establish an endowed chair in AI and Emerging Technology. Through the ELSEWORKS student consulting program and in partnership with JSU, Millsaps will assist small businesses with AI integration.
* Mississippi College: $723K to leverage existing, private funding. Mississippi College’s funding will create a 12-hour certificate and a 6-hour microcredential in their School of Law to ensure Mississippi’s future and current lawyers have knowledge needed to thrive in the AI/machine learning enabled world.
* Mississippi State University: $2.2 million to establish an endowment and seek private match for AI/machine learning workforce and research initiatives. This includes two new faculty lines and the development of a graduate certificate in Data Center Construction Management – one of the first of its kind nationally.
* University of Southern Mississippi: $1.24 million to establish a Maritime AI Innovation Lab to accelerate AI adoption in Mississippi’s Blue Economy. The Lab will focus on port efficiency, vessel safety, and supply chain optimization. Additionally, USM will launch a master’s degree in Robotics and Intelligent Systems. Funding includes support for faculty, graduate researchers, and critical GPU infrastructure. USM will establish an endowment and seek private match to support AI/machine learning research and application of innovations.
“This is about more than just jobs—it’s about opportunity,” said Governor Reeves. “With this initiative, we’re ensuring that Mississippi leads the way in AI and machine learning innovation, as well as workforce readiness. It’s another big day for Mississippi.” | 4 days ago | Magnolia Tribune | data:image/jpeg;base64,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 | 1 | machine learning workforce | 2025-06-17 14:03:31 | null |
How Will You Staff Your AI Workforce for the Future? | https://www.informationweek.com/machine-learning-ai/how-will-you-staff-your-ai-workforce-for-the-future- | Building up an AI-enhanced workforce calls for more than telling staffers to use new tools and then hope for the best. Job roles can change,... | How Will You Staff Your AI Workforce for the Future?
What considerations must C-suite leadership weigh when structuring the workforce to use AI?
Joao-Pierre S. Ruth, Senior Editor
June 16, 2025
Note: The main article content is not provided in the given HTML string, only the headline, author, and publication date are available. | 1 day ago | InformationWeek | data:image/jpeg;base64,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 | 2 | machine learning workforce | 2025-06-17 14:03:31 | null |
Governor Reeves Announces Launch of Mississippi AI Talent Accelerator Program, $9.1 Million in Grants | http://www.msstate.edu/newsroom/article/2025/06/governor-reeves-announces-launch-mississippi-ai-talent-accelerator-program | JACKSON, Miss. – Governor Tate Reeves today announced the launch of the Mississippi AI Talent Accelerator Program (MAI-TAP). | Governor Reeves Announces Launch of Mississippi AI Talent Accelerator Program, $9.1 Million in Grants
JACKSON, Miss. – Governor Tate Reeves today announced the launch of the Mississippi AI Talent Accelerator Program (MAI-TAP). MAI-TAP is a new initiative that fosters the development of artificial intelligence, machine learning, and related technical capacities across the state’s institutions of higher learning to support the expansion of Amazon Web Services in Mississippi. Additionally, the initiative creates training infrastructure that benefits the broader technology and information infrastructure sectors. The initiative is a partnership between AccelerateMS, the Mississippi Development Authority (MDA), and Amazon Web Services (AWS).
Governor Reeves also announced $9.1 million in grants through MAI-TAP to institutions of higher learning. The grants are a strategic investment in Mississippi’s future workforce and economic competitiveness.
“This is another bold step forward for Mississippi,” said Governor Tate Reeves. “We’re not just preparing for the future – we’re building it. This investment will help to ensure that Mississippians are equipped with the skills needed to thrive in a rapidly evolving digital economy.”
MAI-TAP will stimulate the development of workforce programs that address the skill development demands of the artificial intelligence sector. Each institution will seek private funding and resources to leverage along with state support.
Mississippi’s strategy for AI and ML workforce development is organized around five core pillars:
1. AI/machine learning infrastructure by investing in human capital infrastructure: Building a skilled workforce for foundational infrastructure roles.
2. AI/machine learning literacy for Mississippians: Promoting basic understanding and competencies across the state’s population.
3. Education and industry-specific use cases: Aligning AI education with industry-driven applications.
4. Upskilling for product innovation: Enhancing skills for those creating new tools and technologies.
5. Research infrastructure: Supporting the capacity for AI/machine learning innovation and technology advancement.
The newly established AI Workforce Readiness Council – through the State Workforce Investment Board and AccelerateMS – will facilitate this collaboration. The Council will be chaired by Dr. Kollin Napier of the Mississippi Artificial Intelligence Network, and each awardee will appoint a designated representative to actively participate on the council.
Grant recipients include:
* Alcorn State University: $1.15 million to train individuals in southwest Mississippi on digital literacy and artificial intelligence fundamentals.
* Belhaven University: $390K to hire a dedicated AI program chair and integrate AI content into its online MBA curriculum.
* Jackson State University: $1.3 million to launch an Executive On Roster (XOR) program to engage AI experts and provide real-time industry insights.
* Millsaps College: $1 million to build upon an existing private investment and establish an endowed chair in AI and Emerging Technology.
* Mississippi College: $723K to leverage existing, private funding and create a 12-hour certificate and a 6-hour microcredential in their School of Law.
* Mississippi State University: $2.2 million to establish an endowment and seek private match for AI/machine learning workforce and research initiatives.
* University of Southern Mississippi: $1.24 million to establish a Maritime AI Innovation Lab to accelerate AI adoption in Mississippi’s Blue Economy.
Published on June 12, 2025 | 4 days ago | Mississippi State University | data:image/jpeg;base64,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 | 3 | machine learning workforce | 2025-06-17 14:03:31 | null |
Closing The Workforce Skills Gap On Artificial Intelligence And Machine Learning At Water Utilities | https://www.wateronline.com/doc/closing-the-workforce-skills-gap-on-artificial-intelligence-and-machine-learning-at-water-utilities-0001 | The research found that 43% of utilities surveyed believe AI and ML-based tools would impact the ability to detect and manage dangerous situations. | Closing The Workforce Skills Gap On Artificial Intelligence And Machine Learning At Water Utilities
By Kevin Westerling, @KevinOnWater
February 21, 2025
Although artificial intelligence (AI) and machine learning (ML) have been under development and talked about for years, the practical implementation of these technologies came fast and furious. Now, with their rapid growth across all industries, many are feeling overwhelmed. This is especially true in the water/wastewater sector, where the median worker age is 48, with up to 50% expected to retire over the next 10 years.
To that end, I consulted Marina Donovan, Vice President of Global Marketing, ESG and Public Affairs for Itron, to understand where utilities stand with regard to AI/ML adoption, what’s holding them back, how to overcome the challenges, and why it’s important for water and wastewater management.
In what ways can water and wastewater utilities benefit from AI and ML?
Water and wastewater utilities stand to see numerous benefits from adopting and integrating AI and ML, but the primary benefits will be the optimization of operations and improvements surrounding the reliability of service delivery. The research found that 43% of utilities surveyed believe AI and ML-based tools would impact the ability to detect and manage dangerous situations. In a tie for second, 29% of respondents stated that benefits would be seen in business productivity as well as customer engagement.
Using AI and ML, water utilities can gain fresh and advanced insights that enable them to conduct predictive maintenance through real-time system data analysis. This stream of data is what allows utilities to identify potential equipment failures before they occur, preventing costly downtime. Additionally, AI can enhance water distribution and treatment processes, which is crucial for reducing operational costs.
From a customer perspective, AI and ML can support water utilities in improving customer service and promoting sustainability efforts. The flow of information between both utilities and customers plays a vital role in predicting demand, tracking consumption patterns, and improving billing by detecting potential leaks. As severe weather patterns become more frequent, water utilities must manage critical resources and ensure that operations are minimally impacted.
Are these technologies being widely implemented? What are the factors or barriers impeding implementation?
One example of AI implementation in the water sector is with VODA.ai, which helps utilities by performing AI-based analyses. According to a study by Utah State University, approximately 20%, or 425,000 miles of water pipes in the U.S. and Canada, need to be replaced. Together, VODA.ai and Itron are simplifying how water utilities identify and predict which pipe assets need to be replaced, rehabilitated, or contain lead with the introduction of Pipe Asset Management.
While many utility managers and operators recognize the importance of adopting advanced technologies to meet increasing demands from customers and unlock the benefits of AI and ML, widespread implementation among water utilities comes with challenges. One of the most significant barriers is the lack of technical expertise, a concern highlighted in the Itron Resourcefulness Insight Report, where 43% of surveyed electricity and gas utility executives cited a skills gap among their workforces.
Another key challenge highlighted in the report is the cost of implementing AI and ML technologies. These expenses can be particularly challenging for utilities operating on limited budgets, given the initial investments and ongoing maintenance costs involved. Additionally, 39% of surveyed utilities cited the ongoing reliance on legacy systems as a barrier to AI and ML adoption. Many older systems lack the infrastructure needed to support the data-intensive nature of these technologies, creating challenges in integration and performance.
What would be the impact of NOT addressing the workforce readiness issue in terms of AI and ML?
A skilled workforce is an essential component of operating AI and ML technologies. Without it, operational inefficiencies that already exist could continue to grow while diminishing any future opportunities for optimization. Unprepared workforces could also stall any forward movement or progress from being made in areas such as predictive maintenance, real-time decision-making, and resource conservation.
What are some proactive steps utilities can take to bridge the workforce skills gap?
There are several ways for water utilities to bridge the skills gap within their workforce. The first proactive step is to invest in education and training programs to upskill current employees. A range of training options is available, such as specialized AI training programs tailored to water utilities, with a focus on practical implementation. Additionally, industry associations like the American Water Works Association and International Water Association provide workshops, webinars, and resources on AI applications for water management.
A second approach is to leverage partnerships with trade organizations and educational institutions. These collaborations can create effective pipelines for recruiting and training the next generation of water utility operators, ensuring they possess the digital skills necessary for AI/ML integration. | 3 months ago | Water Online | null | 5 | machine learning workforce | 2025-06-17 14:03:31 | null |
Machine learning evaluation of a hypertension screening program in a university workforce over five years | https://www.nature.com/articles/s41598-024-74360-1 | We set out to use this technology to analyze the results of our university's yearly health checkup of the employees for hypertension. | Machine learning evaluation of a hypertension screening program in a university workforce over five years
Olumide Adeleke, Segun Adebayo, Halleluyah Aworinde, Oludamola Adeleke, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba
Published: 04 December 2024
The global prevalence of hypertension continues excessively elevated, especially among low- and middle-income nations. Workplaces provide tremendous opportunities as a unique, easily accessible and practical avenue for early diagnosis and treatment of hypertension among the workforce class. The evaluation of such a Workplace Screening Strategy can give insight into its possible effects. Innovative machine learning approaches like k-means clustering are underutilized for such assessments. We set out to use this technology to analyze the results of our university’s yearly health checkup of the employees for hypertension. An anonymized dataset including the demographics and blood pressure monitoring information gathered from workers in various departments/units of a learning organization. The overall amount of samples or data values is 1, 723, and the supplied dataset includes six attributes, such as year group (2018, 2019, 2021, 2022), Department/Unit (academic and non-academic), and gender (male and female), with the intended output being the blood pressure status (low, normal, and high). The dataset was analyzed using machine learning approaches. In this longitudinal study, it was discovered that the average age for the workforce is 42. Similarly, it was revealed that hypertension was common among employees over the age of 40, regardless of gender or occupational type (academic or nonacademic). The data also found that there was a consistent drop in the prevalence of hypertension from 2018 to 2022. According to the study findings, the use of machine learning algorithms for periodic evaluations of workplace health status monitoring initiatives (particularly for hypertension) is feasible, realistic, and sustainable in diagnosing and controlling hypertension among those in the workforce.
Hypertension, simply known as elevated blood pressure, is the number one risk factor for death globally, significantly increasing the risk of developing cardiovascular, brain, and kidney diseases. Globally, 1.28 billion people between the ages of 30 and 79 were reported to have hypertension in 2019. Two-thirds of these adults reside in low- and middle-income nations. Regrettably, the WHO African Region has the highest prevalence of hypertension (27%) while the WHO Americas Region has the lowest prevalence of hypertension (18%). Sadly, an estimated 46% of persons with hypertension are ignorant of their disease and only 21% of persons with hypertension have it under control. Screening programmes for hypertension could help to reduce morbidity and mortality associated with the condition in adults. Employee’s health status is of great importance to the stability and development of any institution and the society at large. However, it has been reported that the cardiovascular health status of the occupational population worldwide is not optimal. Fortunately, workplace health programmes such as employee’s periodic screening have been shown to protect the individual employee’s overall health, improve his/her productivity, lower the overall medical costs, and reduce disease prevalence in general. Occupational screening of employees at work is an effective approach of identifying undiagnosed hypertensive people. Artificial intelligence (AI) has been used in many areas of healthcare services, including medical imaging and diagnostics, pandemic management, virtual patient care, promoting medication and vaccine innovation, lowering the administrative burden on medical staff, tracking patient adherence to treatment regimens, conducting gait analyses for technology-assisted rehabilitation, and increasing patient engagement. AI has also been used in some published research to diagnose and to forecast the prevalence of hypertension in the general population. However, machine learning approaches such as k-means clustering are underutilized in the context of workplace screening. Leveraging machine learning in workplace offers a promising opportunity for advanced data analysis techniques to enhance health assessments in the workplace. K-Means Clustering is a machine-learning technique capable of providing useful insight into the behavior and patterns of data. It has been applied in diverse areas in medical science such as cancerous cell detection, segmentation of brain images, skin treatment, intrathoracic airway trees, and abnormality detection of heart ventricles. Analysis of workplace and occupational screenings, where patient data may be complex, multidimensional, and subject to variable degrees of uncertainty, is particularly well-suited for k-Means clustering. In this study, we applied the k-Means Clustering algorithm to analyze health medical records from the university workforce. This retrospective study was carried out between December 17, 2018, and December 20, 2022, at the Bowen University Hospital located in the urban setting of Iwo, Osun State in southwestern Nigeria. The dataset was collated from staff in different units of an academic institution for a period of four years (2018, 2019, 2021 and 2022). The blood pressure measurements used in this screening programme were taken by nurses and community health extension workers trained in manual blood pressure measurement, including proper body positioning during measurement. The participants did not smoke or ingest caffeine or other stimulants or food in the 30 min before the measurements, which were taken after at least 5 min of rest in a quiet and calm environment. Two BP readings were taken on both arms of employees in a sitting position and at 2-minute intervals. If the first two readings differ by more than 10mmHg, additional readings were obtained in line with American Heart Association (AHA) recommendations. | 6 months ago | Nature | data:image/jpeg;base64,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 | 6 | machine learning workforce | 2025-06-17 14:03:31 | null |
Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun | https://sloanreview.mit.edu/audio/reskilling-the-workforce-with-ai-harvard-business-schools-raffaella-sadun/ | A professor shares some recent research she has conducted on human-machine collaboration for innovation. Play Episode. Listen on. |
Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun
A professor shares some recent research she has conducted on human-machine collaboration for innovation.
Raffaella Sadun
March 18, 2025
Raffaella Sadun's research has explored how AI might empower those with intermediate expertise, such as store managers and blue-collar workers, to become more efficient and satisfied in their roles. She shares a bit about her research on today’s episode of Me, Myself, and AI and highlights the potential for AI to improve teamwork and innovation by bridging the gaps between different functional teams. Her experiments show that AI can enhance productivity and output quality, sometimes even substituting for team collaboration, while also improving speed and efficiency in problem-solving tasks. | 2 months ago | MIT Sloan Management Review | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAcAAACAgMBAQAAAAAAAAAAAAAAAQQGAwUHAgj/xAA8EAABAwIEAggEAwUJAAAAAAABAAIDBBEFEiExQVEGEyJhcYGRoQexwdEUMvAjM0Ji4RUlQ1JykrLC8f/EABcBAQEBAQAAAAAAAAAAAAAAAAACAQP/xAAjEQEBAQABAwIHAAAAAAAAAAAAAQIRITFBBBIDMjNRcYHw/9oADAMBAAIRAxEAPwDqgAB1siw0Fgi41uPSyPD6ICw3/wCqANNh6IIGxHyR+uCAAFtvZFtLEeyfl8kuPd5IC3d7Ittpv3I8fombb/ZArA8h5JPLI2ufIWtaAbk2AAXmeaKnhkmmcGRxtLnOJGgC49006VVOLzSQxvdFQMNhE06vPf8Ar7rZPLnvfF9s61d8S+IXR+glczPPUZdC6CK7fUkXWTCun3R/EpGRsqHwvd+UTstfzuQuLPs61268G7LzT4HiWKXlghcyIaszaZrLFyWTq+j6eop6pmammilbzjcHD2KykWubBfPnRbpFWdHKxxmL4hE8CeJ2xHPVd5w2tir6OOpicHB43GyNSrd2nghFv1ohAH10TPcdzzRwt90a6X596A4D7pE+A80ba6+6emt7+pQJM7Xvr4oGvijw8tUCH61QeJv3IHfdRMWrm4bh1RVv16tvZBO7joB62Wyc1OtTObq9opnxFx0t/u+F3Zj7Uv8AM7g3y3/8XMKaQV1XkJ7LWk+Pf7fNSOk+IulMpe/M99y5wOpvvbvN1o6CYxskLT+1cWt02F9A0eV1ur4jn8HNk92u9/uP0t2B4bRVWJyVNZUwtZmyQwdYBdo568eS6K2Cnhprnq2saNyQAqrhuByx07JH1DzE1n7rK3JfmRbX1U+nhdieF/hwWtZmIYcoNhfgpdlS+IlJTvon11I+N/aEcpYQdL6e/wA1cPgtiUlVgAglcSYSWDwBFvY+y12OYC5+DTU1TUve0hoMklrsaHAnW22l/JSPgnFkw+pc3RplflHG3ZCDp+6ExtqCkgZB2KVuP0RYfqyO+w9EDHC4B5Eo5cUjbeyCBp/RAzz5dyRuNN7ItrpZHf8ARA9dAq18QZGR9HJGvJu+QAe6sthdV7pxhU+LYC+KluZozma0fxaW+qrPdw9TLfhWR89V/WymZ4PZZIQABsdLKVQMhhr6Omc4Z8+d9983D0+6w1LZoJ56ZwdDJI67STls8a2UWGCZ1cxwZacOvodfNS7SyzmOuVNRJHRU8OSR8c7S0vjIGQ99zop1BTyUNAetEs9iSPyX18DqVWMFxxkgZT1wLHt2JVtGI0bqdoikD3f5WhGtV0rxKGmwd0OIyEfiGOhYADd5LTobdynfCYxMpJYm2zh5zDlcArmXSfFpsaxjQNbTQktjF7jexPnYfJX34RskdU1UhzZC8AX42afuEHU+PH0SQfK/khAwddxZLzCZPH6oJ3+6BXBF76+IR4EeZQRroSny39UC56/1TNue/egm40181CxmsdQYXUVUbWufG27Q4m1ybD5rZOeid6mM3V8Jb3BjHPdqGi+luXBUnFun3UVM0GGUTqwi4ZJHchp/mFv1ZSMYqqzK3rKl8jXdks/KL+A3HitOGSOtcWHABOkTZrV+0ULEsLxDFKz8RWsLHE5gwcNVvsPwCNn4eVzW5gCDYeK3U8YMzW2F7H6KRDG4FjWi7s2gWW8qzmZkzOzC3CKOWxlgaXt1DrL3XxRw0MrKRjWPc0hthbWy2zaaZwv1L2u2sAVhnopJ48sUMruBGUopxifC5MPqhA5sjonsD4Z26Zmnh3EeK7V8MsPFLgwmILTIM3a0329mrVv6PzYbC2LEoo39p0kQcAS1jjfKeVj7WWwosQq6FjTTSnqx/hnVoQXgnTSyFqsIxkYh2JI+rlHI6FCDZknJuvRJvv8AxfZCEHm5IOvAJ8PJCECcTl3Wr6Uk/wBgVGu4Z/zahCrHzRx9R9HX4rQYof2x/wBY+bliP5QhCl2iE/8AeweLvmFIj3eeKEIOnUJPUN1OwWe5TQgqXTgC9MbC+V+v+1VSLcjuQhBscB0r225fUIQhB//Z | 7 | machine learning workforce | 2025-06-17 14:03:31 | null |
There is a vast hidden workforce behind AI | https://www.economist.com/international/2025/04/10/there-is-a-vast-hidden-workforce-behind-ai | There are millions of workers involved in producing AI models. Much of their work has involved tasks like tagging objects in images of roads in order to train... | There is a vast hidden workforce behind AI
Will they become redundant as the technology develops?
Apr 10th 2025
WHEN DEEPSEEK, a hotshot Chinese firm, released its cheap large language model late last year it overturned long-standing assumptions about what it will take to build the next generation of artificial intelligence (AI). This will matter to whoever comes out on top in the epic global battle for AI supremacy. Developers are now reconsidering how much hardware, energy and data are needed. Yet another, less discussed, input in machine intelligence is in flux too: the workforce. | 2 months ago | The Economist | data:image/jpeg;base64,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 | 8 | machine learning workforce | 2025-06-17 14:03:31 | null |
Workplace Predictions: AI, Machine Learning To Transform Operations In 2025 | https://facilityexecutive.com/workplace-predictions-ai-machine-learning-to-transform-operations-in-2025/ | The 2025 Workplace Predictions report from Envoy explores how new technology is shaping the future of the workplace. |
Workplace Predictions: AI, Machine Learning To Transform Operations In 2025
February 26, 2025
The 2025 Workplace Predictions report from Envoy explores how new technology is shaping the future of the workplace.
New technology and shifting generational expectations are shaping the workplace of the future, according to Envoy‘s 2025 Workplace Predictions report. The report, which features input from nearly 500 executives across IT, HR, facilities, and management roles, explores key trends and innovations poised to define the workplace of 2025 and offers a roadmap for organizations looking to adapt and thrive in the future of work.
The report identifies three major trends set to define workplace success in 2025:
New Workplace Technology Is Upending Expectations
AI and Automation Shape Tomorrow’s Offices: 76% of employees predict AI and machine learning will be transformative for workplace operations in 2025. Additionally, 84% agree that AI-powered tools drive productivity, emphasizing their potential to optimize workflows and decision-making.
Hybrid Collaboration Goes High-Tech: 60% of organizations are prioritizing immersive technologies for hybrid and virtual collaboration, with Gen Z leading the charge in valuing tech-enabled spaces for connection and teamwork.
The High Cost of Sticking to the Old Way: 47% of organizations struggle to adapt to new technologies, leaving them stuck in inefficient processes. But sticking with manual operations is more than inconvenient—it’s expensive. In fact, manual operations can cost companies up to 30% of their revenue.
Generational Insights: Bridging the Generational Workplace Gap
Gen Z: 73% of Gen Z employees state that increased demand for flexibility and remote options will influence workplace culture and policies.
Millennials: 66% of millennials want to see an emphasis on employee autonomy and flexible work configurations for hybrid work.
Gen X and Boomers: 60% of Gen X and 69% of Boomers want to see technology enabling better hybrid work experiences with seamless virtual and physical integration.
Top Priorities Across Generations: Despite their differences, 63% across all generations view employee well-being and satisfaction scores as critical metrics for assessing workplace success. Workplace flexibility is also ranked as a top priority (66%) across all age groups.
The Magnetism Of Modern Offices: What’s Driving Employees Back Into The Office
Workplace Design That Inspires: 51% of Gen Z identify office comfort and design as key motivators for returning, favoring immersive, tech-enabled environments and quiet well-being zones that foster focus and relaxation.
Culture and Collaboration Take Center Stage: 57% of respondents prioritize meaningful team engagement and collaborative opportunities as top motivators to be back in the office.
Design That Drives Performance: With 92% of respondents agreeing that improved workplace design enhances long-term productivity, it’s clear that smarter office layouts are pivotal for achieving organizational goals.
As organizations navigate the complexities of the workplace and rethink in-office experiences, Gartner forecasts significant challenges tied to the return-to-office movement in 2025. Success will hinge on blending technological innovation with human-centered design to create spaces that foster collaboration, enhance productivity, and address evolving employee expectations. By delivering work environments that go beyond functionality to offer meaningful value, companies can motivate employees to return, ensuring workspaces remain relevant and compelling in a rapidly changing landscape.
To learn more about the future of the workplace, read the full 2025 Workplace Predictions report. | 3 months ago | Facility Executive Magazine | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAcAAACAwEBAQEAAAAAAAAAAAAFBgADBAcBCAL/xABAEAACAQMDAQQHBAgDCQAAAAABAgMABBEFEiExE0FRYQYUIiMycYFCkaHRFSQzUnKxwfAWleEHJSY0NUNigpP/xAAZAQACAwEAAAAAAAAAAAAAAAADBAABAgX/xAAhEQACAgICAgMBAAAAAAAAAAAAAQIRAyExQRIyBBQiE//aAAwDAQACEQMRAD8Aczg1Y8bbuxgWMyAe1uCnJ8Bnw/M1XayfHIOWRdy/PIGfpnNe2kircLnnIKhf3sgjHl160QGQQTCMsz2204AYIhGc9Mgcd/lwaVtaMgR5oQokhbEoQABlPAYY468H5r4mmiS8WeOe1srrbfSAdgsyBUYj7OSx9o+JpK0y9eeUBozI+SjR/vg8FfrVTToJiey3TNRnnwhFM1jasV3vQu20l7ftTbgyqkjKrgcNg8H+tG9N9ZMJ7WNhgUOON15MJkyK6RoI2rgVknDrMUhjVgmO1bYrHPfjPh04rN+mxBd3KSoyPAgYBhg4JA3fLn+VSyvoGlJBLM42ooOAST38/nTCi1sVk0bZbeZUcqVY5AQeroPv4+f3Vili3qz7VWSM7ZAuAPJsDjyOPLxoxNcptZvZYRsNwRhkefHPeB3d9Drce/8AYBdWO3aerA93zqvIijZiIr1WZTwTRD1F2ZhGN6hiAw6Gp+j5v3P5VXmgqxlUBdmGTRCMeNZFQ27YkUqR3EYrRDMrnANZey2qL6le1KwSgdD7sq4xkdx6EeFeXIgtveSSpsPKrJnlfHjw5HzFCtS1y3soiSwLeFLkms3NykQnu0hjny0UTWiTkrnG7DcKCQR546YwaZjjbFnNdDLJ6lelcLbSAnB+P+lTTNCW0lEsTh5HG2MgEbT9o/Qfic91bdCt0jtELPGSR1FhGn4CiyIdxO4NvTEZC7ehyRgdP9fOqyPoJjtbMh09rvbb26FkQbUGO7xP15ofrNk+laNdTSSdlIik7GXjqAATnO47sjjoDR2C5S1WRpE3RshVgDg4+dLV36V6Vc3jJdSR2awTRgma19Y7a3AKtGD9lju+LHAzyc4GYeT4LlQnWF88q8AST226SNW/7sRB7SM/TLD/AN+8itdlJbWc26S9ieKZd0AmRydh6MSuBngqfAgigUEjT6wH079VBmaWJmx7hAS2T5KoyflWuOZI1Mkk6W9rNI8tpbSWMdw0cZY4+P4QcdAecZ8CWZAkhps9WtSAZJbJTjkASEfh/Tx76J2F6FKMkiuZcrGem0faY/wjv+Z7qUIb20AH63F/k0A/rRmyZpBIRMsvbQ4gdI9gwpyyBQMKe/A8e/dSuV0hzDBPkcoiZwpVHCAYQMpHHj9c5+taPVm742+6vdLuLl40EssRCqVGF6gKG/IfSiqyyyb1MkJCsMY7uhpNvYZ2gBfQs1sV2kMgJU46jvH06/fQrSmbtyGzTBqpl3wlpIzhmbev2QOST+JoFYyRtdOUXaCTgeAo+NugOSuQ1UqVKoo4habtSuSbqRlt41MkzDqqDrjzJIA8yKYvRCJNX1ieS5jgG7bsQke7ABCqmR0ACjx4Hnld0uSNWmtp3EcN0nZtITgRnIKsfIMBnyJpv/2fw3Fvc3ERXs5d2yRWwCCMgj+f94rp5HSYhBHRYYEEaR49lOgOMVRuHaGMELuOVIPAbuqzdNsBAAK8kh85rMR2kjPL8A9pvy+tIdjfRm1ueaKxd7W27Zz1QR7ip7xjwrnM51d3Y/4chJJ5b9Htk0zemM6zXUViILaa4nb2vWZWRFJ7sqy48yTSRrFqmlXnqtzpOkNJtDe5uLiRRnPeJuvHSmsUaQCUrZsCAtKl5DFbPIm+8S3UJ2MCkYTHc8jbeO72PE1XpEbaxroSRYg0xBx2RdUAKjAXwCjA+QHfX4s1tpbVuyVbaC5xBOu4lYJvijcEknY2CDknHt89K/Gl2+oRXDywWUsjxMY3UMUKOCCeQeCDitvSZFtheZNNms7meys3t5LaETMk8JZSuFGMhVw2WBzzxk1n9Hbt2ItTJtLsHhfONko+Hnz6fce6tNprfpCzSQ33o1Jd6dc+7uRGqxu2BgsrKAd4wTk/KqfQ3Ro77WLmDUe1toLMK7xsRvO4+wpPTkdSPp5JT4bY7ibukOOgMbu7E1tH7sIzSIo5ibBBUju56eXyNHNJST1iSOeOVEZTg7cYNZvUYNKhuYLJPWLi5dppDLksx67QFx08PM0vpdStPbsNPiCTShUk97gsCOh391czKv2pLo6EP1BpjtqVjFLZSpa59ZK9N3LY5x/flSrZxz22o9jcwvE5G4Bh1FMs80VvazXaDmJSdgP2h0H1rPFqPrKxR3MBIIzv/dPjTmPMo6YlPC5K0WjpUr9yJsxghgehFStgeD59ZsL866j6Fzh7FJJHC3BRUdmTdvAGFOe444PjjNctm/bIg8a6f6IwkWceRxiujk2hSGhxSQYHvk/+f+lVzTKAzDBCe22Rjc2cD6DP86qHSqZH2ZLAlCMOB3j+/wAaUS2Gb0c69JppLjWo1REmkMqhY5fhkYngNkjgnrzRS4stYk9KNYS39G/R64lWUGSGdY2SMHoVBkXBYcnz8KC6tbS/4hcdjaXUcDozRXMm1JkbocZyVxgnHSqdZ0+bVL/1hYNIsmkHMMNyNpbdyx3E8nd48gcZpptXQFLQPtblbe7mju0xbzZiuI4xnCk/ZHipAYfwgd9W6g8DzyRX2oPa3luxhndY2dJmQld4wc5wADkc4znJNV28baY017N2bPauI4ArhlacgEEEZBCA7vnsHfQCdiVJJJPiTnNSWyLRokh04uf+KHXyFpNTR6H6tbWRn23Er2UCK0s8se0zTs4WNiMnCKBxnxbPxYCJYwi4v40PQmnr9EJZuswQvbyRmK4jXGWjOM48wQGH/kopd47uwv8AbxaHGxe4udQt4yXlwWYYlKs3snow5/OiFterPqszGJ3jjjd3AfCMVIw6p0B9lenfzXNdM1O60fVzp2oS2s1qq4Rrifso8fErq2CcMvQedMK6urxdvDFpknZqx91qhO454OezwDjuz30m8Di6Q/8AYjNWxqbV8WojuY8JcuEOB7W3976HFeQ6lbGcWcsnEbe24+HcDwufpSBpvpPqElhLqt/apAsBEVs0pOC/UkLjnaOeOrFe7JCpe+k+pSanFKty6pAyt2UbbUJByQcdfDmqj8eT5JL5EFwfQMcitl0YlTyPCpWGxkMlujeIzUphY0tCjm5Ozio5vlz411z0cH6jH8hUqU5k9QEeQ2tZrz9k/wAqlSl48m3wcj9M1BbSnIBYmdc9+BJwPkMn7zQtwNo47q8qUxHsH0jbq3s6foyrwvqjNgdNxmkBPzwq/cPCgc/w1KlTonZNE/6nH866Y/7Efw17UqkCy8il6eov6L019o3dlIM45wJTgfjSVZSPG26N2U56qcVKlBfsMY/UYPSWWRrLRg0jH/dqvyftGWXJ+ZwOfIUuw8mvKlaRro+kNN/5dRUqVKy+Slwf/9k= | 9 | machine learning workforce | 2025-06-17 14:03:31 | null |
TD Bank is building a purpose-driven workforce and workspace for its AI future | https://tearsheet.co/artificial-intelligence/td-bank-is-building-a-purpose-driven-workforce-and-workspace-for-its-ai-future/ | AI's success hinges just as much on the people behind it as on the tech itself. Recognizing this, TD Bank has opened a new AI hub in NY. | TD Bank is building a purpose-driven workforce and workspace for its AI future
Sara Khairi | May 22, 2025
The shift toward AI in banking is more than a technology upgrade: it’s now an organizational transformation. Banks are realizing that deploying powerful models isn’t enough. Success equally depends on the teams behind the tech. This has led to an industry-wide focus on hiring data experts, re-skilling existing employees, and forming dedicated units that align AI use cases with specific business strategies.
US institutions are en route to this shift, as are the well-established international players operating in the North American market. TD Bank, headquartered in Canada, is expanding its innovation strategy with the launch of a new AI office, Layer 6, in New York, an initiative designed to deepen its machine learning capabilities and embed AI across its operations.
Founded in 2011 and acquired by TD Bank Group in 2018, Layer 6 is set to expand its footprint with a new office in the Big Apple, set to open its doors later in 2025. In the meantime, TD’s generative AI initiatives in the US are being driven by its US Analytics, Insights & AI team, working in close collaboration with Layer 6’s Canadian operations.
While the New York office and staffing plans are still being finalized, TD Bank executives share insights into the key considerations guiding the development of the new space.
A short history of Layer 6: Layer 6 is originally a Canadian firm based in Toronto. Founded in late 2016 by Jordan Jacobs, Tomi Poutanen, and Maks Volkovs, Layer 6 specializes in advanced machine learning and deep learning technologies to deliver real-time, personalized experiences for enterprise clients.
The acquisition allowed TD Bank to integrate Layer 6’s AI capabilities into its operations, enhancing its services to offer personalized banking experiences to customers.
Maks Volkovs, Senior VP and Chief AI Scientist at TD Bank Group, Luke Gee, Chief Analytics & AI Officer at TD Bank Group, and Ted Paris, Executive VP, Head of Analytics, Intelligence & AI at TD Bank, are leading the charge.
The vision behind the new office expansion is to deepen TD Bank’s machine learning capabilities and embed AI across its operations. The new office will focus on deep learning and generative AI, model explainability and trustworthy AI, time series modelling, and natural language processing.
The team is prioritizing knowledge management by building systems that can surface, share, and apply institutional knowledge across the organization. The bank’s next wave of AI solutions includes agentic solutions designed to support back-office functions and operational processes.
As TD prepares to launch Layer 6 NY, the team is drawing on its lessons and insights learned in Canada to inform the new build-out. Collaboration will be key to this next phase of growth. The Layer 6 team formation, structure, and TD’s broader talent strategy are focused on attracting and retaining top-tier talent, with a mix of existing employees and newly recruited talent. | 4 weeks ago | Tearsheet | data:image/jpeg;base64,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 | 11 | machine learning workforce | 2025-06-17 14:03:31 | null |
IIT Delhi Commences Certificate Programme in Data Science & Machine Learning, Strengthening India’s Tech Workforce | https://www.passionateinmarketing.com/iit-delhi-commences-certificate-programme-in-data-science-machine-learning-strengthening-indias-tech-workforce/ | IIT Delhi launches a 6-month Certificate Programme in Data Science & Machine Learning to equip professionals with practical skills in Python... | # IIT Delhi Commences Certificate Programme in Data Science & Machine Learning, Strengthening India’s Tech Workforce
Author: Author
June 16, 2025
Mumbai, June 16, 2025 : In today’s data-driven economy, the ability to extract meaningful insights from vast volumes of information has become a vital differentiator for organisations and professionals alike. As businesses increasingly rely on data science and machine learning to make strategic decisions, the demand for skilled talent in these domains is accelerating. According to the World Economic Forum’s Future of Jobs Report 2023, roles in data science, machine learning, and AI are among the fastest-growing, with demand expected to rise by 40% through 2027. Bridging this gap requires not just technical training, but industry-relevant, application-focused learning.
Recognising this urgent need, the Indian Institute of Technology, Delhi ranked #2 among Engineering Colleges in India by NIRF 2024 has commenced the **Certificate Programme in Data Science & Machine Learning**. This six-month online programme is designed to equip early and mid-career professionals with the capabilities to lead in a data-centric world. From mastering Python and machine learning algorithms to working with real-world datasets, the programme prepares participants to apply data science effectively across business functions. With the surge in demand for data-literate professionals and the Indian government’s increasing investment in digital innovation, IIT Delhi’s programme offers a timely and powerful opportunity to upskill and stay ahead of the curve.
This programme is ideal for early and mid-level professionals seeking to build a strong foundation in data science and machine learning to advance their career prospects. It is also well-suited for professionals overseeing software development or machine learning projects who are looking to deepen their understanding of data-driven decision-making and apply these insights to accelerate business growth. The programme offers the right blend of academic rigour and practical tools. It also appeals to high-potential professionals passionate about leveraging machine learning to unlock business growth in an increasingly data-driven economy.
Participants will benefit from a well-structured, industry-aligned curriculum designed to build both foundational and advanced expertise in data science and machine learning. The programme offers live-online, interactive sessions led by renowned IITD faculty ensuring rigorous academic guidance. Learners will gain hands-on experience by working with real-world datasets and engaging with case studies that reflect current industry challenges. Collaborative peer-to-peer learning encourages exchange of ideas and diverse perspectives, while structured insights prepare professionals to apply data-driven approaches across sectors.
**Programme Details:**
* **Start Date** : June 29, 2025
* **Duration** : 6 months
* **Format** : Live-online sessions with faculty
* **Fee** : INR 1,50,000 + GST
* **Eligibility** : Graduates (10+2+3)/ Diploma holders (10+2+3) from a recognised university (UGC/AICTE/DEC/AIU/State Government/recognised international universities), with a minimum score of 50% in Mathematics or Statistics in their 12th examination.
* **Certification** : Upon successful completion of the programme and and maintaining a minimum attendance of 70 percent, participants will receive an industry-recognised certificate from the Continuing Education Programme (CEP), IIT Delhi enhancing their credibility and visibility in the job market. | 1 day ago | Passionate In Marketing | data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHcAAABCCAMAAABaULmmAAAAyVBMVEX/////hzb/8On/l1r/oGr/upb/pXP/0r18g6WkqL7539/89fT/j0n/o3D/jUT78uf8+/b/vZvxwb/uq6f45uT32dbpl5Tb3eXNz9qdobrT1uD10tCUmbP0zcr67Ov519fzl2SMwMjE3eT/6+DcoZHg3tyRpKrAtpP627z0w5H438b2yaD66dj206//zbX/tI3n8/bzoH3szYL31cvgYF7dTk7vt7TicGzdQT7oh4PaKyrv7/OxtciJj6y8wNFwd57zpab1l5vXAAWZXtgCAAACdUlEQVRYhe3X21LbMBAG4AUaEq9CGnSwZcuSei5QoNA6io0P2H3/h6qgMy29CB3Sxm1n9F84ml1lPlt25AnM54cvDo8OH+RocfBs15nDYgovX8Hz+yyXy7vjZAI7DtmDvddv3r57f3J2cnp2fnFy+uH84uLy467d/Tv36vrTlfgsuBCCw9JXR3HnB9PT6+nDXC7GcBeTyfHx5Kcc74/g7u0cCW5wgxvc4AY3uMH9J11XFMWqcCO7pigYY8qtV3RMF0vnKkpJzFz5Ry/5cZfcMEY4MmGEYCs+mruKmVBrSnVBTezK73XZ3H8kLUDd1FHnx3lyV/jx1fTblFRu4WIptOgJ4Rx6plRBIUujXOZyljZpDlHUNnmb5l3uK90MkjRKUt9Jkyip8+42kVnWtlu4tlDorOHc4LIiNI4B2jyVUdR10rvyVnZp2jW+EM3SCLI2T9q0yZsmryHy89JZlDdbuK7inAHyWBkeC+MqX5MSZC2zGjpIZFJnXXI/7mq/oDIDCbWfkdR+0NRZksht1rmPmYkBReWMiQV1xaaJ/k8k2dh7uksLLbQluKaKVIbFFSiByLjlCFQZdFQT52++UsoyC9Z3iFVoLBJgzvcd33Q6j7rkRlERq3jpNKMoVgo0c7pnfU9hEP7Ieu0GZtRgCB38mTld4eB61ffg1MB6MZhtXKhirYSm4DQ1zq0IGG6sRcsNIEGL3GpEBG0IMcpo3+XaIA7UgbUGOcGtrhd46bRCpIjC6VJvnPf0/GKfdCXzS+0fKUpvRtwn/daxLhgV2lVfRn0v+Ii4LFcFe+Lv5Pfd3SS4wQ1ucIMb3OAGN7jB/U/d+cHfyPwrcO9NZsvbINEAAAAASUVORK5CYII= | 12 | machine learning workforce | 2025-06-17 14:03:31 | null |
AI Workforce: using AI and Drones to simplify infrastructure inspections | https://aws.amazon.com/blogs/machine-learning/ai-workforce-using-ai-and-drones-to-simplify-infrastructure-inspections/ | by Miguel Munoz de Rivera Gonzalez on 03 APR 2025 in Artificial Intelligence, Generative AI, Industries, Integration & Automation, Robotics Permalink... | # AI Workforce: using AI and Drones to simplify infrastructure inspections
by Miguel Munoz de Rivera Gonzalez on 03 APR 2025
Inspecting wind turbines, power lines, 5G towers, and pipelines is a tough job. It’s often dangerous, time-consuming, and prone to human error. That’s why we at Amazon Web Services (AWS) are working on AI Workforce—a system that uses drones and AI to make these inspections safer, faster, and more accurate.
This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system. In this post, we introduce the concept and key benefits. The second post dives into the AWS architecture that powers AI Workforce, and the third focuses on the drone setup and integration.
In the following sections, we explain how AI Workforce enables asset owners, maintenance teams, and operations managers in industries such as energy and telecommunications to enhance safety, reduce costs, and improve efficiency in infrastructure inspections.
## Challenges with traditional inspections
Inspecting infrastructure using traditional methods is a challenge. You need trained people and specialized equipment, and you often must shut things down during inspection. As an example, climbing a wind turbine in bad weather for an inspection can be dangerous. Plus, even the best human inspector can miss things. This can lead to bigger problems down the line, costing time and money.
## How AI Workforce helps
AI Workforce is designed to change all that. We use autonomous drones equipped with advanced sensors and AI to do the inspections. This brings the following benefits:
* **Less risk for people** – Drones do the dangerous work so people don’t have to. This makes inspections much safer.
* **Faster and more efficient** – Drones can cover a lot of ground quickly, getting the job done faster.
* **Better data** – Automated data collection and analysis means fewer mistakes and more consistent results. This allows for proactive maintenance.
What does AI Workforce look like in action? Users interact with a simple AI assistant and dashboard that displays near real-time drone inspections, detected issues, and AI-generated insights.
## Solution overview
AI Workforce is built on a robust and scalable architecture using a wide array of AWS services. Security is paramount, and we adhere to AWS best practices across the layers.
## The future of AI Workforce: Expanding drone capabilities
Beyond inspections, AI Workforce provides a robust Drone API, offering seamless integration for third-party applications.
## Benefits and impact on business operations
The deployment of AI Workforce delivers a wide range of tangible benefits for organizations managing critical infrastructure, particularly in the energy and telco sector:
* **Significant cost savings** – By reducing the need for human labor, specialized equipment, and extensive logistical planning, AI Workforce can significantly lower inspection costs.
* **Dramatically enhanced safety** – Removing human personnel from hazardous environments drastically reduces the risk of accidents and injuries, creating a safer working environment.
* **Substantially improved efficiency** – Automated drone inspections are significantly faster and more efficient than traditional methods, enabling more frequent inspections and faster turnaround times.
* **Data-driven decision-making** – AI Workforce provides asset owners with comprehensive and accurate data, enabling them to make informed decisions about maintenance, repairs, and asset management.
## Conclusion
At AWS, we’re committed to driving innovation in AI-powered solutions for a wide range of industries. AI Workforce is a prime example of how we’re using cutting-edge technologies to transform how critical infrastructure is managed and maintained.
### About the Author
**Miguel Muñoz de Rivera González** is the original designer and technical lead for the AI Workforce initiative at AWS, driving AI-powered drone solutions for safer, smarter, and cost-effective infrastructure inspections. | 2 months ago | Amazon Web Services (AWS) | data:image/jpeg;base64,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 | 13 | machine learning workforce | 2025-06-17 14:03:31 | null |
Nvidia: How to Improve AI Workforce Development for Business | https://technologymagazine.com/articles/nvidia-how-to-improve-ai-workforce-development-for-business | Nvidia expert urges AI education & workforce development strategies for economic growth, social stability & equitable distribution of AI benefits worldwide. | Nvidia: How to Improve AI Workforce Development for Business
By Kitty Wheeler
December 02, 2024
A Nvidia podcast advises on the key to reaping AI benefits
Nvidia expert urges AI education & workforce development strategies for economic growth, social stability & equitable distribution of AI benefits worldwide
AI adoption is increasing worldwide along with the know-how on how to utilise it, yet this evolution is revealing who is behind and why
The global AI market is projected to contribute up to US$15.7tn to the world economy by 2030, according to PwC.
Additionally, the World Economic Forum estimates that by 2025, 85 million jobs may be displaced by the shift in labor division between humans and machines, while 97 million new roles may emerge.
This rapid adoption of AI has created an urgent need for comprehensive workforce development in AI technologies across national borders and industrial sectors.
Addressing this issue, Louis Stewart, Head of Strategic Initiatives for Nvidia’s Global Developer Ecosystem, has reported on workforce development in an Nvidia podcast, highlighting the critical importance of preparing the global workforce for an AI-driven future.
The company's initiatives in states like California and Mississippi demonstrate how public-private partnerships can tackle this challenge.
This transformation is already visible across industries, creating a demand for AI-literate professionals at all levels.
Nvidia delves into this demand for AI-literacy in the workplace, emphasising inclusive development, acknowledging that the AI revolution must extend beyond traditional tech hubs and elite institutions.
The success of these workforce development initiatives will likely determine not just economic competitiveness, but also social stability and equity in the emerging AI-driven world order.
AI education at all levels
Louis emphasises that AI education must be implemented across all levels of society.
“AI is fuelling a lot of change in all ecosystems right now. It’s disrupting how we think about traditional economic development — how states and countries plan, how they stay competitive globally and how they develop their workforces.”
He points to Gwinnett County in Georgia as an example of early education initiatives, where a comprehensive K-16 curriculum has been developed: "If young kids are already playing with AI on their phones, they should actually be thinking about it a little bit deeper.”
The goal is to encourage children to see themselves as future creators of technology, not just users.
Higher education systems, in particular, need to prepare students for the AI-driven job market.
"Graduates need to understand AI, and need to have had touches in AI," Louis explains, noting that this extends beyond engineering and research challenges.
Inclusive approach to AI implementation
Louis's experience in the public sector, including roles with the state of California and the city of Sacramento, has shaped his inclusive view on AI education and implementation.
Key points:
* Gwinnett County in Georgia has developed a full K-16 AI curriculum as an early education example
* Nvidia is partnering with states and higher education systems for AI workforce development
* California and Nvidia are collaborating to train 100,000 people in AI skills over three years
* Mississippi has implemented the Mississippi Artificial Intelligence Network (MAIN) for statewide AI education and training
* Small businesses are encouraged to engage with AI tools to transform operations
* Partnerships between businesses and local schools can provide real-world AI experience for students
Nvidia’s partnerships for AI workforce development
Nvidia is collaborating with states and higher education systems across the US to develop AI workforce programmes.
These initiatives vary by state, reflecting diverse local needs and priorities.
In August, Nvidia announced a partnership with California to train 100,000 people in AI skills over three years, involving all 116 of the state's community colleges and the California university system.
Meanwhile, Mississippi has implemented the Mississippi Artificial Intelligence Network (MAIN), one of the first statewide initiatives focused on addressing AI's impact on various industries' workforces.
Louis encourages individuals and businesses to actively engage with AI tools: "Now is not the time to stay on the sidelines," he advises.
"This is the time to jump in and start understanding.”
For small businesses, Louis suggests starting with applications like ChatGPT and potentially partnering with local schools to develop AI-powered tools, providing real-world experience for students while transforming business operations.
"Workforce development is, I think, at the crux of this next part of the conversation because the innovation, the research and everything surrounding AI is driving change so rapidly," he summarises.
“AI is fueling a lot of change in all ecosystems right now. It’s disrupting how we think about traditional economic development — how states and countries plan, how they stay competitive globally and how they develop their workforces.” | 6 months ago | Technology Magazine | data:image/jpeg;base64,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 | 14 | machine learning workforce | 2025-06-17 14:03:31 | null |
How To Upskill Your Workforce With Artificial Intelligence (AI) | https://www.forbes.com/sites/juliekratz/2024/09/29/how-to-upskill-your-workforce-with-artificial-intelligence-ai/ | AI can help develop both technical skills and human skills, such as critical thinking, creativity and emotional intelligence. | Robot and young woman face to face.gettyWith employee tenures at organizations at record lows and an unemployment
rate that's forecasted to remain lower than previous generations, it's
critical that businesses rethink how to upskill their workforces. It isn't
a surprise that artificial intelligence (AI) is entering the workplace, and
it presents a clear opportunity to automate production and simple tasks,
yet organizations need to remember that their people also need to be
evolving and learning new skills, which AI can help power.In my interview with Amy Clark, chief people officer at D2L, she said, “For
people leaders, the message is clear: prioritizing workforce upskilling is
no longer optional; it’s a strategic imperative. D2L’s recent research
reflects this urgency, revealing 75% of learning-and-development leaders
feel a strong sense of urgency in equipping their organizations for the
transformative effects of AI and automation.”While many organizations have gravitated towards training their employees
on AI, AI can help develop traditional soft skills or human skills as well.
Clark comments, “It’s not just about technical skills. Our research also
found that both employees and L&D leaders rank human skills, leadership and
management skills as just as important to develop as AI and
machine-learning expertise. Skills like critical thinking, creativity and
emotional intelligence are essential for roles that require nuanced
decision-making and people leadership.”Leverage AI to UpskillClark’s team is proactively addressing these needs by offering
comprehensive upskilling programs that put employees in the driver’s seat
of their own professional development. Each employee receives an annual
professional-development stipend that can be used to pursue credentialed
courses that align with the company’s evolving needs, including emergent
technologies like AI—but also other areas where human skills like business,
communication, wellness and sustainability are in demand.“In today’s rapidly evolving job market, continuous skill development is
crucial for organizational resilience and success. D2L’s research
highlights a significant gap: 83% of employees recognize the importance of
ongoing skills development, yet only 51% have completed any formal
education or training outside of work in the past five years. With the rise
of generative AI further emphasizing the need for both technical and human
skills, employers have a real opportunity to create learning opportunities
that are relevant, practical and aligned to business goals. By clearly
defining the specific skills and competencies employees will gain,
organizations can increase buy-in and commitment, making the programs a
valuable investment in their development rather than just another mandatory
task,” Malika Asthana, senior strategy and public affairs manager at D2L
added.MORE FROM FORBES ADVISORBest High-Yield Savings Accounts Of 2024By Kevin
Payne, ContributorBest 5% Interest Savings Accounts of 2024By Cassidy
Horton, ContributorUpskill InhouseEmployees look to their current employer as the first place to develop
additional skills. “Forty-one percent of employees see their current
employer as the first place they would turn to build job- or
industry-specific skills. This far outpaces the 17% who would go directly
to a community college and the 14% who would look to a university for the
same needs. For employers, this is a clear call to action: investing in
comprehensive career-development programs and transparent advancement
pathways is essential. Employees are looking for guidance and curation of
learning opportunities so they know that when they do invest their time,
their employer will recognize the value,” Clark found.By upskilling in-house where employees already are, organizations create
more long-term loyalty. People remember organizations that invested in
their growth and development, believed in them and helped them to become
better.Map Skills to Outcomes“To ensure that professional-development budgets are effectively spent, the
learning opportunities offered to employees need to be relevant,
outcomes-driven and directly applicable to employees’ day-to-day work. When
employees see the real-world value of the skills they’re acquiring, they’re
more likely to view upskilling as a worthwhile investment in their future,
rather than just another checkbox to tick,” Clark commented. function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); Organizations can map skills to outcomes by illustrating how improved
communication or leadership skills contributed to business outcomes.
Perhaps, with leadership training of middle managers, they're able to
improve productivity and engagement on the teams, or they find that using
AI to deploy training programs helps reduce administrative costs. For the
business impact it's critical that outcomes are shared with the
organization to encourage more upskilling in the future.AI is rapidly entering the workforce and automating tasks, but
organizations must also focus on upskilling their employees. AI can help
develop both technical skills and human skills, such as critical thinking,
creativity and emotional intelligence. Upskilling in-house creates
long-term loyalty as employees appreciate organizations that invest in
their growth and development. | 8 months ago | Forbes | data:image/jpeg;base64,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 | 15 | machine learning workforce | 2025-06-17 14:03:31 | null |
HIMSS25: Smart health transformation forum spotlights AI integration, workforce challenges, and ethical adoption | https://www.healthdatamanagement.com/articles/himss25-smart-health-transformation-forum-spotlights-ai-integration-workforce-challenges-and-ethical-adoption?id=135586 | The HIMSS25 Smart Health Transformation Forum offered a deep dive into how healthcare organizations are leveraging artificial intelligence (AI), machine... | HIMSS25: Smart health transformation forum spotlights AI integration, workforce challenges, and ethical adoption
AI is shaping the future of healthcare, but its success depends on workforce readiness and ethical governance. HIMSS25 leaders are addressing AI integration, workforce training, and ethical AI governance in healthcare.
Mar 06
Katrina Fryar
Vice President & COO, Health Sciences South Carolina
The HIMSS25 Smart Health Transformation Forum offered a deep dive into how healthcare organizations are leveraging artificial intelligence (AI), machine learning, and automation to address operational and clinical challenges. As hospitals and health systems strive to optimize workflows, improve patient outcomes, and manage costs, the conference highlighted both the promise of new technologies and the complexities of their adoption.
Healthcare executives and technology leaders gathered to discuss the real-world application of digital innovation in clinical environments. While much of the conversation focused on AI’s potential, speakers emphasized the importance of aligning emerging solutions with existing workflows, ensuring provider engagement, and maintaining a keen focus on ethical and workforce-related considerations.
Identifying and addressing healthcare challenges
Roberta Schwartz, Executive Vice President at Houston Methodist Hospital, delivered a message that framed the current state of healthcare challenges. Along with other speakers, she outlined issues ranging from patient access bottlenecks to administrative inefficiencies that contribute to provider burnout. The message was clear: while technology has the potential to solve systemic problems, its deployment must be strategic and patient-centric.
Many hospitals are dealing with mounting financial pressures, increased regulatory scrutiny, and ongoing staffing shortages. In this context, technology can serve as both an enabler and a disruptor. Leaders must be intentional in identifying pain points where innovation can drive the most impact. AI, for example, has already demonstrated value in predictive analytics, clinical decision support, and workflow automation—but its successful integration requires careful planning and leadership buy-in.
Strategic evaluation of technological solutions
A recurring theme throughout the forum was the importance of strategic vetting when considering new technologies. Panelists shared how their organizations evaluate digital solutions based on organizational priorities, emphasizing that innovation must be purpose-driven rather than implemented for its own sake. The process begins with identifying specific problem areas and assessing whether a proposed technology aligns with broader strategic goals.
This structured approach ensures that new solutions are not only effective but also scalable and sustainable. Many organizations are now adopting formalized processes for technology assessment, requiring evidence of measurable improvements in efficiency, patient experience, or clinical outcomes before widespread deployment.
Engaging clinical leadership in implementation
Healthcare IT leaders agree that successful technology adoption hinges on strong leadership engagement. The most effective implementations involve clinical champions early in the decision-making process to ensure that new tools integrate smoothly into existing workflows. If physicians and nurses do not see the value of an AI tool or if it disrupts their routines, adoption can become a challenge. While executive buy-in is crucial, frontline clinicians must also be engaged to facilitate smoother implementation.
This perspective aligns with broader industry sentiment that change management is just as important as the technology itself. When new tools are introduced without sufficient stakeholder engagement, they risk being underutilized—or even actively resisted. By fostering collaboration between IT teams and clinical departments, hospitals can better ensure that technology enhances, rather than complicates, the delivery of care.
Ethical considerations and data interoperability
As AI and automation become increasingly embedded in healthcare, ethical concerns have taken center stage. The HIMSS25 panel discussions reinforced the need for clear governance frameworks to guide the responsible adoption of AI-driven solutions.
A major point of discussion was the issue of data interoperability. While AI tools are capable of processing vast amounts of data, their effectiveness is often hampered by siloed information systems and inconsistent data standards. Without seamless data exchange, even the most sophisticated AI models can struggle to deliver meaningful insights.
Panelists called for continued collaboration among technology vendors, policymakers, and healthcare providers to develop standardized protocols for data sharing. The industry is making progress in this area, with organizations like the Trusted Exchange Framework and Common Agreement (TEFCA) working to establish interoperability guidelines—but there is still much work to be done.
Preparing the workforce for AI-driven change
Maurice Bastarache, CIO of Chesapeake Regional Health, provided critical insights in response to the themes discussed. He emphasized that as AI adoption accelerates, healthcare organizations must focus on preparing the workforce for AI-driven change.
"The rapid proliferation of AI across all facets of healthcare, from clinical decision support to operational efficiencies, is evident," Bastarache stated. "The potential for transformation is undeniable, but alongside this innovation comes the challenge of preparing today's workforce for AI-driven change while ensuring the next generation is equipped with the necessary skills."
Bastarache highlighted a concern that many CIOs share: the potential for talent gaps if workforce adaptation lags behind technological progress. While AI has the power to enhance efficiency and reduce administrative burdens, its success depends on how well healthcare professionals are trained to use it.
This sentiment was echoed throughout the forum, as panelists discussed the importance of investing in AI literacy and education. Upskilling existing staff, integrating AI concepts into medical and nursing curricula, and fostering interdisciplinary collaboration between IT and clinical teams will be essential for a smooth transition into AI-enabled care.
AI's role in the future of healthcare IT
Bastarache also noted that the future of healthcare IT will be largely defined by AI’s capabilities and how effectively organizations integrate it into human workflows.
"As CIOs, we must navigate these hidden obstacles to harness AI’s full potential without leaving gaps in talent or preparedness," he said. "The future of healthcare IT will depend broadly on AI’s capabilities and how effectively we integrate it into our human workforce."
This underscores a crucial point: AI is not a replacement for human expertise but a tool that can augment decision-making and streamline operations. To maximize its benefits, organizations must prioritize both technical implementation and workforce readiness.
Looking ahead: Balancing innovation with practicality
The reinforced a key takeaway—while healthcare’s digital future is promising, success will not be measured by the sheer volume of AI and automation deployed. Instead, the industry must balance innovation with practicality, ensuring that new technologies solve real problems without creating new burdens for providers or widening gaps in workforce preparedness.
As hospitals and health systems move forward, their ability to foster collaboration, develop robust AI governance strategies, and invest in workforce training will determine the trajectory of digital transformation. The insights shared at HIMSS25 make one thing clear: technology alone is not the answer. It’s the thoughtful, strategic, and ethical application of that technology that will define the future of healthcare.
Katrina Fryar, MBA, FACHDM is the Vice President and COO of Health Sciences South Carolina | 3 months ago | Health Data Management | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAdwMBEQACEQEDEQH/xAAbAAACAgMBAAAAAAAAAAAAAAAEBQMGAQIHAP/EAD8QAAIBAgQDBAYHBAsAAAAAAAECAwQRAAUSIQYxQRMiUWFxgZGhscEUIzJCUtHhFSRTsgcXJTM1YnJzgpKi/8QAGgEAAgMBAQAAAAAAAAAAAAAAAwQBAgUABv/EADQRAAICAQQAAwcCBgEFAAAAAAECABEDBBIhMRNBcQUiUWGBsfCRoRQyQsHR8eEGIzNDUv/aAAwDAQACEQMRAD8AHXjDOKWZoqiKkkMbFXDRkG425g292CbRNj+BwsLUmHw8eLf95yu3nHNf3EfPHbIJvZ3/AMtGNPxnk0tu1WqgP+eMN/KTiNhgW0OUdcxnTZ9kdQBozOnW/SUmP+a2I2mCbTZh/SYerQyrrgmikXndHBGIqBII7EqmY5k9dKVja1MD3R+LzPyxoYMG0bm7mTqtQXO1eoszSqioaCSaYErbSFBsWJ2thhUJaoovJlHo6qSkqI3TWJA409CwvyPl+WD5UsfKOrRHM6zlVaakGmnN5VF1Y82H54xcmOuRGNLnLja3cnkSxwGOSFkx0tBpI1J3F8dOk8QhjUFY9/HAmsy4qG1dQk9D2FSutCLrbmp8RgFMptZfgyrw5kJ4qmmWNewinliGoi50SFQbnxte3ng1mUFRJn6/2tM38RUkPpZAT7zhwzZ03/iA+F/eLrY6HksCQs5Ezsg0kgqt97bDEyrbvKeUXxYS1RwkGXtHRtTGTthqMisq72PUg7cxbbcYNhTfkAMyfaOoy4dPkJ+QH1jBcaTLPEgwPPaQ1tCsa/dmRj6L2PxwIv4XvRzRoMmTbf5/qDhaaerpYZINE0Mh0B0sTpFyR4jlhLFvssGsGbeu8MacgiiOv2jZJGp6iOZPtIwPpxLrYqYON9rBhGdRxHky6jJViEKdzKpUDe25tbCbY2UWZ6AowUMejJKevoa5b0VZT1H+1KrfA4HIuYZTqtbHSZv2TdncYqRJuZrDogUEfdwJhLgylJ9I7eano42lbtGZ9IFgSxY3PLmefXF/K5wE9m+irzKqkikXSjaFHVgi2uP+uG6FXc1MLtjCoVPIu/L0i1gVNmBB88R1GwwYWDPY6dGlMlLHlLzSqHkkk7PdmXRy5WHPvX38MByswPET1DEPwZvSR9nUuN9l2uLHn4Y19GLf6f4mb/1CT/Cp6/2Maxi6XxplOJ4vdzIKqpJyWSVg3arGdQQcseZ9n7xq8mnc+4Txfxueu1eFSmPUYxRA59KizKZw2YaXrhLGsf1dx9otve9vAW5400xiydtGKa18r4vDT3h3G80iCoWIMNZF9PW2IdeamSEfw/Erjq4tOVrmlRm9GwJ00Mswt4qVIwtqiEUX5mem0w8XS4xfdTmOa5eKSV7HYG1jzB38vLChEo+IoLMaZeucy0g+h5lVqyzrGAJ2A3At18cSEJgS1SSXiPiiglMLZvU6lHVtQ94xFVJuOeD+KM6zTP4qbNMxMlN2bFldEUcttwB1IwNhYl0bmWaCoparLqUxvJJcv24RiSjX22Ow2I5YbyjEMQoi4XcNvUTwuEZDLEQzNcOx0jSfliK45HJmsSS1owKrwR2b9e/pImd2LxMzSyFhpIbUDbEkEkg8mURkxouRaVKJIIr/AFz3xEefVjxIkMTFWfckGx8hgRlNbmIAVT3BspFTUxUtLHXSRxNXxwSRrztIbhv/AC3uwIiZhcgxpwnnNRVVUkNVUSTFotStI5ZhYja53O3wxoez3rIVPwintNy2mCeQN/edB4UkI4qiAOzZbKT6pYvzw37V/lWZ3sg2cg9JDkFT23G4UrYLLVqLnnYkcvDbGOce1T9Jutk3UJnL8qpazinOqZYkj1xNIGA5P2p399jjtNq8h95je0kfSX93GwKxZkGSyV/GFW0wYUeW7SI3Jpfur6LjUfQPHGrrMqqfc/q+0FqHGW/gJZ+E4pJ6GaJWjV5K2oSq1bMd7RryP3NJ9njhHV+9mYHy6iehcfwuNh8BKRnD5n/Vui0tPA0BMwzVXW8sMvaXB35cregj0gbtuMayP4jl/ib/AFirIKWqiomZ4ZEtmEGrXGdha4PkMWRhfcXaIc7cy5rJcHnp95/PENyxl16k3C6yniF4YNfaFStkTUbBlvt6AcQF5k3HObo2QQpSUsj6k+sWOpXSzKbC1j5hjyHuwVBj/wDZck7lPuQqGTtB2ZWR3C9zSeX6YoDfB5nocg2e8pCi+eO/tz85FM31Qv2YCkgfiN97nxGO7WcOMpHPP6cf3MrvESFswsFZQkZYK3MWF8UyCj1Uy8xORrJB48uvP1jDhziDLMly7NIqzLvpc9bHpik7pWMhWAuD5tf1Yg1FWu7EF4Benp+KKCas0GmtIJdQ1baDbax62x2JXZqx9yMpRVt+p23Js1yiprkpsvRRM8LSArCF7isoPnzYbeXlguowZ8YDZfP53A6fNhyEjF5d8VKfw1KG/pLkQHdZqwW/5NgmRSun9SPtIxteQ/K/vGXD0rtxxnKq1mFPNpNr2IlH54SxINtDzMOXqyYVlPFcGa51S5dTRJHUSQSz14UcpVAQC/Xle/gF8xhnLpsmBvf8jUGmVcuPcnmIJwzRNXcRnNaXNIo2aWWKehVhqYLdUvv4AP8ADnguryhnKkcwWgsaPEvmFH2lczyqy3L8pzsx1hkzisD0s9KJB2SEylmZTtqA1ED4DewWBNhRDAbRRkNBwzxD+wZC7rTSzVMcqierC3QIQL2J6kbeWCDERyRUHdmgLg1RwJmjzrJ9MoWuVuVklYltr2sm+/LFSVF2ZcA/CEcM5TFknEwzZ6w1KL2n1aU8iklri1yLAb88UDoH3A3LjE5FHj6wL+lir/aFZl8kdM8YWJgbgHmR1GK5H3m6kkVwDckCiPUWd0ksClhzv+mLDj1noHO6gACPP89ZFMCFRNGo216lNzpxPkBBF7YsDx18BclXK8trMpqa1qlxWxErHAxXvxkcz+mKP8RFcqEDcRzXl1cplSqwOYzHcg23wMzPuMshqIYJZJpbqAuhVCjrz39WGtE4x5NxgtTj8TCQO+JdOE8/pcuziOqr1eKnWklRXIG5Z4yBc7D7J64c1+YZcaqO4nocHhM7E91EuXcSrlnGlVnKQGeJ5qhkS9tnJt4+OF28bLjCbfhGRsRi19yOl4ozGmz2tzGhQCSsWRNDd7SHcNt7AMQmkYCmMt4o8prl2VZ8al6imp5aSRrhp5VMYseYu2C5fDZtzG5C7qoCFHIaOpqaOhjzdanMKhyskUc6FS58GYhee1uZJGF8eVmZycdAdE+cK2NEVQrQleD/AKYzwUtN9Fo+8DmNVKAqhbk6RcXvpt09O4wQZwOWN/ISmy+p1KKgRZIparMJlKLcRRaSqlL31G3IaR1B7wwM5i60YTYF5URdJXZfEgjoa6kYxv2sSySDUz/ZJO9ibAEX9GBsSo/3CKjNzXEXV5r6+pk06kgNlRHg20gWG/j19JwAB34H5+0ONiUT36/8wNMpo5LpWunaA8g+oD1EbYsMYX+Zq/SQzvkPujdKnrJmjUfvDMtrNq2JuLerBeyPOaFgIf6QD8vW/Pv9ZDPKkKgguspuNja4+PjfHXXrOI3tzREX6/rAzEAXvcm2IuTkZQpBMXZxGP2jVC/93Yj3H88QqblZvh/mYZNUJDTuyoCjugt91rfDDOlxBhZEplcjgSwjhmqjKz181NBE0io8rSgkXYKSR5eJ288NLlTpBBlCe4S0fDVJEgD1VVUm141YNpaz7AiyGx0H7wNiORx3/ePwA/PrI9wfOMo0zbMIHioMoosupZQRrdArWuD0t4eFvXYgDPiQ2zEmEAduhUIk4bFUTHmeZ1dS4ABCrpjHlbr7sAOrr+RajSaJmXczRll3DEFD2VUkDTlJVkVaVwjbG4JDdfbjOya5TkKseRG8embbVgfnyhZz3M6OdxlmXiCm1FhD2BJBJBYnVudwOp5DF0yIe1l8mlNcuL+RH24hkOU5nOUr4K4RtWxBnjnHcVmGogJe9xsdvZgrNj9PrFF3dEbgIRBw9SRpJIOyMsa60WKbVyNnuL9Nx6sEGZiKu/3gWx7TdV+0yoEYsFVfIbYneZFRbmklLssxVGH3nh1A+0b4r4yk1cImM9lbE5fW8QUwjCU1NdlFgxe9/M7D544tCnVOCaMQSVc804lkdi3Sx5YqLJi+8lrJmSxvcgn04OuFz5SxyqIRmZc5jMRv2oB9IIxRbCtAnyjLKMlra6IGGNBH+NjYH0Abn2YYwZ0x46MoyFm4llpeHWmm7XMGqqkjnqBX47/DFW1jDhBUcTR46vI/MtFBw3l7KrRQCllUd0qtwf8AUDzHrxkan2iy5Nh5jOPSYq3DqbzLndNOYngglHNXitZh7dsWTK+RdyRrwdCByxB/PlChKRpNcrU7HYAkWPowcMathUz8mNA1Y2Dft95s1TT0xu8jW6Gx29gwB202YU3MOml1S8qP3EljminHaRkOpP2kJIw0oWgB1E8iurU4ow+aoneKlMN2VVBtELmMr3b+WwB9eOIEoGI6gMmWsagtLROzFjreIamG1y1wfnvfbAduJG+f1jQ1WoZa3cfSB15ERSMyz00kkboqySI1n7hVtm5aC1ySbEDboTgrXMEFe7FH5flSrxZtmML/AOIMFP8AGQMB7vhiTpxk6ppY50x8ZEKyqU0aR5HPPGirMoW0iizDvt19Q9mJHcXeK07yBzuzbljzJxsY1UKKEScndNZxzxYyV7hDkq9QqkgGFQQOoxiN2Y0OpbeAGZknViSvZRmxPUhrn3DFZYToEagKLAch0xYTpvTE7nrf5nGf7TUeCDXNxvRE+JUKBJaS55X+eHMAAxLXwgMhtzK1xOx+l05ub6W/mGCwZkeXMWjlViSoW4BO2MzXqAVIHM1/ZbMdwJ4Ekou5mkeju3liBttt2iD54tpyZo6lQ2M3+cS+szJW0IRioVJiLG1tmw/PLeUBhZjR1ALEgJEOfn+g9gwLL1C4u5WuKI0nSVp0WQpI2kuL6e90vyxnqzDPQMdIHhXFdDBDrf6mPn+EY0yogEyP1c//2Q== | 16 | machine learning workforce | 2025-06-17 14:03:31 | null |
How CHROs can leverage AI for talent development and workforce mobility | https://hrexecutive.com/how-chros-can-leverage-ai-for-talent-development-and-workforce-mobility/ | As we transition from the Information Age to the Intelligence Age, chief human resources officers face an unprecedented opportunity to... | How CHROs can leverage AI for talent development and workforce mobility
AI and machine learning, Career Development, Guest viewpoints
By: Ashwin Bharath
Date: January 16, 2025
As we transition from the Information Age to the Intelligence Age, chief human resources officers face an unprecedented opportunity to reshape their organizations’ workforce strategies. The digital revolution has already transformed how 3.5 billion people worldwide work and access information.
Now, generative AI promises to be as transformative to our cognitive capabilities as the steam engine was to our mechanical abilities—not just by a factor of multiplication, but exponentially.
The traditional barriers between job zones are becoming increasingly permeable. This shift presents CHROs with a unique chance to revolutionize their approach to talent development.
Where once there existed rigid walls between different job zones, gen AI is emerging as a powerful equalizer, enabling workers to transcend their current limitations. Organizations can now develop robust internal talent mobility programs that leverage AI to upskill and reskill workers across traditionally impenetrable boundaries, contributing to a more skilled technology workforce.
The stakes are particularly high for organizations that fail to adapt. Those without a coherent AI strategy risk losing talent to more technologically progressive competitors. Forward-thinking CHROs are already leading the charge in developing comprehensive AI integration plans that address both technological implementation and human capital development. These plans typically begin with a thorough analysis of work processes, categorizing tasks into four distinct areas:
1. commoditized tasks that no longer require specialized workforce;
2. processes that can be fully automated;
3. activities that can be significantly enhanced through AI augmentation; and
4. domains that remain purely human.
One of the most promising opportunities lies in what industry experts call the “productivity left-shift”: enabling lower-zone workers to perform higher-zone tasks through AI augmentation. This approach allows organizations to achieve significant productivity gains while maintaining wage competitiveness. Recent research has found that early adopters of this strategy have reported productivity increases of 20%-30% among employees who successfully transition to higher-zone responsibilities, creating a skills-first technology workforce.
To implement these changes effectively, CHROs must first establish robust skills assessment and mapping protocols. This involves conducting comprehensive organization-wide skills audits and creating detailed maps of current capabilities against future AI-augmented role requirements.
The most successful organizations are those that can identify high-potential employees for cross-zone development and create personalized development paths that leverage AI tools effectively. Central to this approach is technology training and development, ensuring that employees not only learn technical skills but also how these work alongside AI skills to enhance their productivity.
To maximize these upskilling investments, HR organizations must establish clear policies for internal advancement that reward employees who demonstrate newly acquired competencies. Rather than defaulting to costly external hiring, companies should prioritize promoting internal talent who successfully complete these development programs, creating a more dynamic and cost-effective approach to workforce development.
The traditional approach to employee development, where CHROs simply provide online resources and expect self-directed learning, is no longer viable in today’s AI-driven workplace. Instead, organizations must implement structured skill development pathways with instructor guidance, ensuring employees not only acquire new competencies but also learn to effectively collaborate with AI tools.
In addition, change management becomes particularly crucial in this transition. Successful CHROs are developing clear communication strategies about AI integration and addressing fears and concerns about job security head-on. They’re creating and sharing success stories of internal mobility and carefully monitoring employee sentiment and adaptation rates. The most effective programs maintain transparency about the organization’s AI journey while celebrating individual and team successes along the way.
The governance framework surrounding AI implementation cannot be overlooked. Organizations need clear guidelines for AI use in different roles, well-defined boundaries between human and AI responsibilities, and robust ethical frameworks for AI deployment. These policies must be flexible enough to adapt to rapidly evolving technology while ensuring compliance with relevant regulations.
Early adopters of comprehensive AI strategies are already seeing impressive results. Organizations report significant improvements in workforce transformation metrics, with some achieving up to 80% AI tool adoption within 18 months. Successful zone transitions are increasing by 15%-20% annually, while the time required to achieve competency in new roles has decreased by 30%-40% through AI assistance.
The financial implications are equally compelling. Organizations implementing comprehensive AI strategies report 15%-25% reductions in operational costs, while employee retention rates in AI-enabled roles often exceed 90%. Moreover, revenue per employee typically shows marked improvement after successful AI implementation.
Looking ahead, successful organizations are building continuous learning cultures that can adapt to rapid technological change. This includes regular skills assessment cycles, feedback loops for AI tool effectiveness and agile learning programs that can quickly incorporate new developments. Leading CHROs are also building strong partnerships with AI technology providers and educational institutions, creating robust ecosystems for ongoing development and innovation.
The transition to the Intelligence Age represents both a challenge and an opportunity for CHROs. Success will depend on their ability to reimagine workforce development, embrace AI as a tool for employee empowerment and create frameworks that enable smooth zone transitions. The key lies not in viewing AI as a threat to employment, but as a catalyst for workforce evolution.
Organizations that embrace this perspective, led by forward-thinking CHROs, will find themselves opening more doors than they close, creating new opportunities for both their employees and their business success. | 5 months ago | HR Executive | data:image/jpeg;base64,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 | 17 | machine learning workforce | 2025-06-17 14:03:31 | null |
How Workday’s New System Manages AI & Human Workforce | https://technologymagazine.com/articles/how-workdays-new-system-manages-ai-human-workforce | Workday launches an AI agent management platform to help enterprises control, monitor and integrate AI tools alongside human employees. | How Workday’s New System Manages AI & Human Workforce
By Kitty Wheeler
February 13, 2025
Workday announces a new system to help businesses monitor AI agents
Workday launches an AI agent management platform to help enterprises control, monitor and integrate AI tools alongside human employees
The rapid deployment of AI tools across enterprises has created a new challenge for organisations: how to manage, monitor and measure the impact of an expanding digital workforce alongside human employees
As businesses integrate AI agents into their operations, the need for centralised control and governance has become pressing.
Against this backdrop, Workday has launched a platform called The Agent System of Record to help organisations manage their growing fleet of AI agents, as enterprises face increasing complexity in deploying AI tools while maintaining security standards and operational efficiency.
The Agent System of Record aims to provide organisations with centralised control over AI tools from both Workday and third-party providers, as businesses face challenges in governing and measuring the impact of AI deployments across their operations
Key features include:
* Centralised AI agent management
* AI agent marketplace
* New role-based AI agents
* Security & compliance
* Cost & performance optimisation
The system enables companies to onboard new AI agents, define their operational parameters, track performance and monitor costs within a single platform – and this centralised approach addresses challenges around security, compliance and measuring return on AI investments.
"The workforce of the future will include both humans and AI agents and businesses that don’t learn to manage this incredibly complex reality will fall quickly behind," says Aneel Bhusri, Co-Founder and Executive Chair at Workday.
The platform builds on Workday's experience in managing sensitive data and workforce processes across its existing customer base of 10,500 organisations globally.
Carl Eschenbach, CEO at Workday, says: "As the system of record for more than 10,500 organisations around the world, there is no one better than Workday to manage every part of the workforce – employees, contingent workers and agents – on our trusted platform."
Workday has announced new AI agents designed for specific business roles, including contract analysis, payroll processing, financial auditing and policy management.
These agents contain configurable capabilities that allow them to support employees across multiple tasks rather than following fixed processes.
The contract analysis agent examines agreements across enterprises to identify obligations and opportunities within unstructured data, whilst the payroll agent identifies invalid data, automates audit workflows and monitors compliance.
For example, a financial auditing agent connects business documents to monitor transactions and reconcile balances, while the policy agent distributes corporate policy information to employees and managers.
The company will make these agents available through its Workday Marketplace, allowing customers to discover and deploy AI tools that integrate with their existing systems.
Furthermore, future developments will enable customers and partners to customise agents through Workday's development platform, Workday Extend.
Major technology providers have expressed support for Workday's AI management platform.
Adam Evans, Executive Vice President and General Manager at Salesforce AI, who says: "Workday is making it easy to incorporate and manage AI agents right alongside human workforces to augment employee bases with always-on digital labour."
Winston Weinberg, Chief Executive Officer and Co-Founder of Harvey, adds: "By centrally managing agents and ensuring they adhere to the same strict access controls and compliance standards as human employees, Workday is building the foundation for a truly trusted and secure AI-powered workforce."
The platform has also received backing from AWS, Swami Sivasubramanian, Vice President of Data and AI at AWS comments: "With Workday's Agent System of Record, organisations will be much better positioned to ethically manage all these agents.
“We’re excited to collaborate with Workday to reshape the future of work through agentic AI."
Enterprise customers have also begun implementing Workday's AI capabilities.
Matt Castonguay, Chief Financial Officer at Team Car Care, says: "At Team Car Care, we’ve already experienced firsthand the power of Workday's AI capabilities, which are making a real impact on our bottom line."
R "Ray" Wang, Chief Executive Officer and Principal Analyst of Constellation Research, notes: "The rise of AI agents in the enterprise has created an urgent need for a centralised system of record to manage and govern this increasingly complex landscape.
“Most of the executives we’ve spoken with seek solutions that provide the tools they need to harness the power of AI while maintaining security, compliance and control."
The Workday Agent System of Record and new role-based AI agents are in development and expected to launch later in 2025.
Steve Chase, Vice Chair of AI and Digital Innovation at KPMG LLP, concludes: "Digital colleagues, or AI agents, will become an increasingly common addition to the workforce and Workday's Agent System of Record is well positioned to help organisations meet the moment of monumental change." | 4 months ago | Technology Magazine | data:image/jpeg;base64,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 | 18 | machine learning workforce | 2025-06-17 14:03:31 | null |
How To Build An AI-Skilled Workforce | https://www.forbes.com/sites/libertbarry/2024/08/21/how-to-build-an-ai-skilled-workforce/ | In the rapidly evolving landscape of artificial intelligence, the demand for a workforce proficient in AI is escalating. | AI and PersonAIMattersIn the rapidly evolving landscape of artificial intelligence, the demand
for a workforce proficient in AI is escalating. However, the journey to
building this AI-skilled workforce need not start from scratch. Enterprise
organizations have a unique opportunity to harness the potential of
existing employees, particularly those in technical roles, to spearhead the
transition into AI.The AI Transition ChallengeThe challenge for many organizations is not just about adopting AI
technologies but also ensuring that the workforce can effectively work with
these technologies. Data scientists, software engineers, and other
technical professionals must possess a strong foundation in many of the
skills necessary to excel in AI. These include proficiency in programming,
a solid understanding of algorithms, and the ability to manage and analyze
large datasets.Over the last several months, the industry has been in a generative AI hype
cycle, with technology leaders and news headlines speculating about the
technology’s potential to transform the future of work.While the technology is still nascent, these predictions are already
proving out, with studies like PwC’s 2024 AI Jobs Barometer, finding that
sectors deploying AI the fastest, including professional services,
financial services, and technology, are achieving productivity growth five
times faster than those making less use of AI.AI training people AIMattersMORE FOR YOUUp-skilling: A Strategic ImperativeProviding upskilling opportunities for existing employees is not just a
cost-effective strategy; it is a strategic imperative that can lead to more
sustainable growth and innovation. By focusing on enhancing the skills of
their current workforce, enterprises can: Reduce the skills gap: Many technical professionals already understand the
mathematical and statistical underpinnings of machine learning (ML) and AI.
By providing targeted training in AI-specific areas, companies can quickly
close the skills gap. Enhance employee engagement: Employees are more
likely to be engaged and motivated when they see opportunities for growth
and development within their current roles. Upskilling helps retain top
talent by showing a commitment to their professional development.
Accelerate AI adoption: A workforce familiar with the company's data and
systems can more effectively integrate AI solutions into existing
processes, reducing the time to implementation and ensuring smoother
transitions. At Anaconda, we have a dedicated learning solutions team that works with
industry experts to create training courses in data science and AI
techniques and technology for our employees and customers. We also provide
an annual stipend for employees to use for upskilling in their fields, and
we promote this benefit in our recruiting efforts.Five Steps to Integrate AIAImatters function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); Five Practical Steps for Building Your AI-Skilled WorkforceHiring a workforce that is equipped with the skills necessary to build,
test, and refresh machine learning models is no easy task but it is
critical if your organization is planning to incorporate AI into your
products, services, or operations. Here are a few practical steps your team
can take to ensure your workforce is prepared. Identify key skill areas: Start by identifying the essential AI skills
that align with your business objectives. Common areas include machine
learning, natural language processing, AI ethics, and data visualization.
Create tailored learning pathways: Develop learning pathways that are
tailored to the needs of your employees. For example, data scientists might
focus on advanced machine learning techniques, while software engineers
might delve into AI programming and integration skills. Leverage
collaborative learning: Encourage a collaborative learning environment
where employees can learn from each other. This could include peer-to-peer
learning sessions, hackathons, and collaborative projects that focus on
solving real business problems with AI. Partner with educational
institutions: Form partnerships with universities and online learning
platforms to provide employees with access to specialized courses and
certifications in AI and machine learning. Measure progress and iterate:
Regularly assess the progress of your upskilling initiatives and make
adjustments as needed. This could include feedback surveys, skill
assessments, and reviewing project outcomes to ensure that learning is
translating into business results. Your Role as Leader In AI Up-skillingLeadership plays a critical role in the success of any upskilling
initiative. Leaders must advocate for a culture of learning and innovation
where upskilling is valued and supported. This includes providing the
necessary resources and time for employees to engage in learning
activities, as well as recognizing and rewarding progress in skill
development.Building an AI-skilled workforce through upskilling is a strategic approach
that leverages existing talents and aligns with the needs of the modern
enterprise. By investing in the development of their technical
professionals, you can enhance your team’s AI capabilities, foster a
culture of continuous learning, and maintain a competitive edge in the
digital economy. The journey toward AI proficiency is not just about
technology; it's about preparing people to work alongside AI so you can
harness the full potential of this transformative technology. | 9 months ago | Forbes | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAACAgMBAAAAAAAAAAAAAAAEBgAFAgMHAf/EADwQAAIBAwMBBQYEAwYHAAAAAAECAwAEEQUSITEGE0FRYSIycYGhwRQjkdFCsbIVMzRSc/AHJUNiY3KD/8QAGAEBAQEBAQAAAAAAAAAAAAAAAgEAAwT/xAAdEQADAQADAQEBAAAAAAAAAAAAARECEiExQQNC/9oADAMBAAIRAxEAPwBNnuGgH92vxJoeO6Er/nTFB/4wD96N1mICyY+opeCqzHHyrqedRoZ7f+yv4i7E9SyD7UdbRad7CCfuUPQlGwB8APPNKMMJf3QT54o0xfk2/wD6H+pq0IOmnJaBGP4oYHjg/cVYLDC3uXMR+JFJ1iHFphXcHPg1a49XHfd0l1MecbskjP8AvxpRL0y78HOWwZidksZPoR+9eDT5BFJwvIHj61UR6Zr1xa/i7aOWaHzjKyEfFRkj5itFveXyQXYeT20VeCgyDuHpV4mpcfhHXO4AAdeaMsILOaJiqd7IGAGxVZR55OaT9QuLu90yZmuQO5IPdBcd5njw8vvVVpt7c2eo2k2DFtdSD/2+P0rm9Rwaxc061b20OP8ACyp8Ay/01nHbgPNiZ4vaHXJ/hH+ajpMIygOxG0Ab70r8sYrAW7uZfypTg87bx/IeWM1W4qBKuAUltuUqNQyc9cJ+1VN3bQqfzLpH9CW+x+1MLWkext9rI2R4zOW+RzS72g0uxu7GSFra8jOQQxmdgOfIkih+e+VFvHGCtrccTXa9yqqAnO0EZ59QKlAT9nbRV3t3uCMhScYqUzLwM1iP/lknxX+oVtt+y1pKcGWfnp0/apq9zby6XJHHIrSNjCg+oNX1lq+nKMyXkQ8MbefD09Kpy7nRr07sXacsJ7gZGD7v7Veab2Ss41mhWQ7IXABe3ikPKg/xKT41jYa7pplZY7uJuM5Lkfat83azTtPuGWScA3DblZPaAwoHOPhUooGt2btLeylkmuQIQp3YsogfLjC1xgRpBdzTx95HGzERCTAdkz5+ePGuu6nr8F/pk8Gm3AllkAUZUqATkjkgeRpMPZnU7e5eSS3Q24Vu73TISvOR49ajVXZ0w+L6G7RbuNNNtVdijPErDgADIB8B8etC9tNTayhtYDbrL37MGLJvK4x04PPNLy3UcVqkK3KvJEyq4c5IYkHHljPHFM/ahjqnZHTzGyNeCUQKrHhiW2YJ8OdvNPamegfnq6jKDSv7T1+zuUE8O2HjuJVCkjBHGB9aorPQNQNlHe3FuotQw9ouDsXOMmnX/h9p8+nm+F73JklZMLHk7QB/mPhz9KG1tvwnY+0RmVS0h3RsudwBPh6HFCVVnTnHM+FGb9ZiBHCoQe6QVO8+ZOSAB5fWnvspq0V7DJa3y7JWwI5pWGTgAeHGeOtcoNx3sm7cdx603dl23Oq+tV9mSjqOkyWWxgsbb129RVbrdsRYGPCcKOqnd73nTNo25rZVd2OBgc1o7QQA2rZJPTrQHpXtnItUgxkVKP1uIDcB9KlM4nP4rmEImYFBxznqecfatyXcOebdap5LW9l2TRQSvGFKo6rnI3Enp6k17DI/AYHPqKgomMthfRhHxbJjdx+lZX193hixbRcN5VV2aM0S+1gnkiibldoi5zg1QRUstU1Tatv3EIg2e8q9GODjp8KA1zXr57S2HekK0SE48Tg5/wB+lCaq+XbGRgrx8qr7xi9nF4lVA+pos6YXQf2b1BYru4E0SzSTKAgdd3t544PHjXU9S0+2uLTTdOfAXvAXdTjbsG5v5Y+dcf0CRLfWrN5sbBIM5/QfXFdjMZktlkRw0rKwVw42AHGT/OknVA7UdBbzXEgmOn6dBtSNFZmGWZienPwxyfMUm69rc2o3kcDFmiiY+8fe+nTii9VuJtOa/uLlYg1w4S3UOGKADGTj09aytdPWy7GS6jOc3V9OsUYx7kakkj5kc/AVmTK+gkE9qRtksYi7HClRwKutIu7SK4Aa37rHiKVopTHKHIyB4Cti3hMhZuB+lUsOzaVrUaRgZOKE1/X1K7UYFmIAHxrnK61LGAEII6ZBrRHqL3WtW6MxKh8n4AZowXI97T6li9njUuWVsYB46V7S/qVybm7uZRn2pCR+te1DJA1vqVzZWwhDGMp0Zh05zzn1NA3NxPMUaHBQD/pg4z0+XSvG1SF/aktQzee9h9Kyi1HvJFSOJcsQo3M3U/Os2JJfTKH8aI+8aQog8WP260VMZmKhH7xC3s4NY3j3cMJSRYVDryFGTj4mvdJllvzFbd+yLtPGM7cVgufDK/Ro41BcO2ATjPFa7IzSfl28XeuVIKYJyvjnHNWGsWEtnYGeORpRH7TjbjaPPr6il9bsv7URYuOgAzWZc+DZpV3Z7xHdaY0k0mxQ6CZGj9rqS7Hz8B1piQadbR95Ba3y7Cd5W8Ztp68ZBpD0CG8utSgUpwHBIYYPjTtFHLDHcrPbTndjYseSM+PSnlIOqbpbLSNQEV00eos4HvCaMbeePDrVfrzrHY2Nhaz3DW4DTLHcMp25OOCB06/rVhpUjwW7C5tpSeMKVxx8TWsaZY63qSxyO9syW/A73HiMcY9TW1MqkrFYnZGwdGznyrRBJlsHkGrjWtHi0qMOmswtkMyxsPaIB46HxpdN5IwOWQ48DyaK0muipBUku2RSFxjmjtEugmpNOF2lIWJOfPA/eqMTrKhIU48wDgVutb6G2trtRE8s0mAHHRV5z/OtStA0k8m5mAzuOelShzPhQv3xUqCgG/8AdmpY/wCMg/1F/nUqVC/BoveYf/r9jWGhEi+kwSMZqVKr9Of8l/YO0twVkYuOmGOaubdEQ4RFX4DFSpSQRa7RkxaNcvESjGZSWXgnmlWO/vN2Pxc+P9Q1KlUaLSyu7kuM3E3X/OaZ7D8+5j7/APM/Jb3+f4h515UqGYDrKILCYhVBR1C4HQelKU7Hd1PT7VKlEWfDZobutxtVmAOcgHrVncezBdleCUJJHzqVKxn6V2sqoaPgePhUqVKxT//Z | 19 | machine learning workforce | 2025-06-17 14:03:31 | null |
AI in the Workplace | https://www.ibm.com/think/topics/ai-in-the-workplace | Artificial intelligence (AI) is transforming the workplace, impacting how businesses operate and employees do their jobs. | AI in the workplace: Digital labor and the future of work
16 October 2024
Amanda Downie, Inbound Content Lead, AI Productivity & IBM Consulting
Molly Hayes, Content Writer, IBM Consulting
Artificial intelligence (AI) is transforming the workplace, impacting how businesses operate and how employees do their jobs. The technology is expected to significantly impact the global economy by transforming the labor market and changing the nature of work.
Organizations use AI in the workplace by deploying a wide range of technologies, including machine learning and natural language processing, that can mimic human intelligence to solve problems, make decisions and perform tasks traditionally handled by humans. AI can analyze data, recognize patterns, learn from experience and adapt over time. It is often used to streamline operations, enhance productivity, automate repetitive tasks and support decision-making.
Generally, deploying AI in the workplace involves a wide ecosystem of technologies, the most common of which are:
* Machine learning: A branch of computer science that focuses on using algorithms to allow AI to imitate the way humans learn, gradually improving its functionality over time.
* Natural language processing (NLP): A form of AI that uses machine learning to understand and communicate in human language.
* Generative AI: A form of AI recently popularized by ChatGPT that can create original content in response to a user’s request.
* Robotic Process Automation (RPA): A process-driven intelligent automation technology often used to perform repetitive office tasks.
Using a combination of these technologies, deploying AI in the workplace might be as simple as automatically digitizing and filing employee records, or translating Spanish into English. It might be as complex as providing decision-makers with guidance on how to improve a company’s business processes enterprise-wide.
In the healthcare, insurance and banking industries, AI has become increasingly common. Examples include helping researchers identify new drug compounds and predict their effectiveness, or assisting cybersecurity professionals identify and mitigate fraud. AI is also routinely used to enhance employee and customer experiences through AI assistants, such as chatbots and AI agents.
Organizations that embrace the use of AI have the potential to enhance efficiency, improve decision-making and drive innovation. Some of the key advantages related to the use of AI include:
* Increased revenue
* Leveraged data
* Improved customer experience
* Enhanced employee well-being
* Competitive advantage
* Increased innovation
AI helps businesses boost revenue and gain increased cost savings by optimizing operations, enhancing decision-making and identifying new opportunities for growth. By augmenting a human workforce with AI tools, businesses can spend fewer resources on routine tasks and encourage employees to engage in more creative and valuable tasks.
AI is used for various business functions across industries to increase efficiency and provide data-driven insights. Some key areas in which organizations deploy AI include:
* IT processes
* Customer service workflows
* Supply chain
* Human resources and talent management
* Sales and marketing
* Operations
* Finance
AI is commonly used for improving risk management, automating financial tasks and enhancing decision-making. AI systems can analyze transaction patterns to detect anomalies in real-time, preventing fraud. Some AI tools automate tasks such as expense tracking, invoice processing and financial reporting to reduce the time spent on manual data entry. AI-powered analytics tools also help companies predict financial trends, including revenue and cash flow. These forecasts enable businesses to make proactive decisions, identify potential issues and better manage their finances.
The impact of AI on the workplace has broad implications for the labor market and the future of work. While the use of AI is generally associated with productivity gains for businesses, many expect the technology to require a broad shift in what kinds of jobs workers do, and how they’re trained.
According to the consultancy McKinsey, up to 30% of hours worked across the US economy could be automated by 2030, with 12 million occupational transitions required by the same year. Concurrently, recent research completed by the IBM Institute for Business Value found that organizations deploying AI at an operational level, rather than a skills-based level, outperformed their peers by 44% when it came to metrics such as employee retention and revenue growth. These findings are compatible with World Economic Forum estimates, which forecast that while over the next few years there might be 85 million job losses globally, new technologies might create 97 million new jobs.
Taken together, these statistics suggest that widespread adoption of AI technologies might require significant upskilling initiatives to retrain the global workforce. As AI tools are used with increasing frequency, and AI-augmented work becomes more common, organizations will likely focus more heavily on maximizing the efficiency of these human-machine interactions. | 7 months ago | IBM | data:image/jpeg;base64,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 | 21 | machine learning workforce | 2025-06-17 14:03:31 | null |
The reskilling roadmap: Navigating evolving human, AI roles in the workplace | https://www.chieflearningofficer.com/2025/01/17/the-reskilling-roadmap-navigating-evolving-human-ai-roles-in-the-workplace/ | A transformative path opens up as we begin to use artificial intelligence to change companies and redefine corporate learning and... | The reskilling roadmap: Navigating evolving human, AI roles in the workplace
In what good ways will the AI revolution change life and employment?
Published
Jan 17, 2025
In what good ways will the AI revolution change life and employment?
Krishnan Nilakantan
A transformative path opens up as we begin to use artificial intelligence to change companies and redefine corporate learning and development. In this article, I will investigate the dynamic road toward flawless human-AI cooperation in the workplace of tomorrow, and how L&D becomes a strategic compass guiding companies through this fascinating development.
One fascinating truth about the interaction between humans and technology is that—although they are its creators—they have often feared technology before finally embracing it as an ally in the simplification of life. Growing up in the pre-Internet age, I saw great anxiety around implementing computers in businesses. It was almost funny how these same people have changed their attitude over the next ten years, praising IT endlessly for generating affluent prospects and placing their nation on the international employment scene.
In what good ways will the AI revolution change life and employment? As any new technology is as good as humans create, it is impossible to forecast. If the AI revolution promotes a time of cooperation between people and AI instead of one of rivalry, it will be a gift. By equipping employees to flourish in an AI-augmented environment, HR and L&D must be central in determining a promising future.
Throughout this change, HR and L&D must cooperate to create a symbiotic link between human knowledge and AI capacity in contemporary companies. Focusing on their different roles, they must be at the forefront of strategic, multi-dimensional projects. An efficient reskilling or upskilling program should include four elements:
* Using strategic upskilling to empower the staff with the necessary skills to coexist peacefully with AI.
* Using tools and approaches helps to preserve crucial human knowledge and facilitates cross-generational interaction.
* Creating customized training plans to improve human-AI cooperation.
* Encouragement of ongoing interactive group learning.
Next, I will closely examine every dimension and explain how each helps build human-AI cooperation.
**Strategic importance of L & D in employee reskill and upskill program**
If businesses already fund AIe technologies, why should they invest in reskilling or upskilling staff? Does it not sound like two expenses? This is where one should grasp the essence of AI transformation: It is all about improving rather than replacing employees’ capabilities. The investment today is equivalent to tomorrow’s empowered workforce. Let us dig further to grasp how. Though they are usually used synonymously, [“reskill” and “upskill” have different connotations](https://www.chieflearningofficer.com/2020/05/08/navigating-semantics-and-skills-reskilling-vs-upskilling/).
Reskilling is teaching staff members to acquire new skills so they may move into positions arising from the integration of AI. Generative AI can, for instance, transform data analysts into insights architects who use AI to generate predictive models, run simulations and provide actionable insights.
Conversely, upskilling emphasizes improving employees’ skill sets to adjust to AI-driven changes in their current roles, such as using AI tools to maximize workflows or evaluate challenging datasets.
Therefore, organizations need both strategies to ensure their staff can efficiently negotiate the changing AI terrain.
_Upskill: Closing the skill gap to reach AI competency_
Program designers of upskilling projects must remember a critical element: Generative technology develops quickly, continuously changing job roles and task execution methods. As a result, companies will probably always be short-staffed in personnel qualified in the most recent technologies.
Thus, two main elements of upskilling strategies should be:
* Short-term skill gap solutions for quick organizational needs.
* Long-term upskilling plans to reach constant benchmarks in line with the company’s future objectives.
Programs should match long-term goals with short-term priorities and align skill levels with both. This requires close cooperation with the CIO’s office in choosing suitable tools and resources.
An effective upskilling process can follow these steps:
* Skill inventory: List the present AI-related competencies of the workforce.
* Needs assessment: List both short- and long-term skill needs.
* Personalized learning plans: Design customized road maps for each employee based on organizational goals and skill gap analysis.
_Reskilling employees within the organization_
Reskilling in the context of AI is acquiring fresh skills that are fit for a new employment role. Under the cover of its Machine Learning University, Amazon, for instance, has established a reskilling program that helps thousands of workers with little machine learning knowledge become experts in the field.
Reskilling can be a strategic weapon for companies to balance workforce supply and demand. As AI and machine learning technologies advance rapidly, they have significantly reduced the average life cycle of skills. Training staff members in artificial intelligence skills will help companies remain ready for an AI-augmented future and allow current employees’ skills to be utilized in newly appointed positions.
Like upskilling, reskilling programs are meant to be developed closely in line with corporate strategy, with active participation of all stakeholders and a clear vision of how such projects may support the business’s long-term objectives.
The stakeholders, sponsors and the whole company should be involved. In fact, reskilling programs should be strategically crucial for L&D to share with the entire company since it is difficult for such projects to reach the intended result without group effort, partnerships and involvement. Developing the appropriate attitude and actions among managers and staff is quite important. Many times, employees object to learning. Including training in the process will help them address any challenges.
Thus, L&D should invest in specific tools, systems and policies to support their reskilling projects. L&D should develop a matrix to match employees’ intended career paths with their skills. Businesses can handle redundancies in AI-augmented environments through strategic reskilling and ultimately prevent future layoffs.
_Building AI-ready teams across the organization: One key point to remember_
Organizations should include introductory training courses in AI for staff members at all levels to maximize the advantages of AI-driven reskilling and upskilling. Success in an AI-driven workforce depends on specific fundamental abilities and training areas. Here are some recommendations:
* Data analysis: Skills in data interpretation and visualization define data analysis.
* Programming: Foundation of Python, Java or R for AI system knowledge.
* Machine learning: fundamental ideas to modify AI tools
* Communication: Effective cooperation with AI systems.
**Preserving and transferring human expertise to AI systems**
AI needs more than raw data to accomplish tasks with human-like discretion; it also requires critical thinking and judgment from years of expertise in a related field. Human experience is the total knowledge workers pick up over time. Not only is it difficult to express in words, but this complex and priceless body of knowledge is context-specific and cannot be codified into a mechanism. Capturing and embedding this knowledge into AI models becomes increasingly important as companies advance in their path of AI transformation. Training AI with this domain knowledge requires a team effort to translate seasoned employee insights into AI systems.
Once more, this is where L&D must be crucial. The process starts with a talent map—a study of employee profiles, performance data and skill sets meant to find workforce clusters of expertise. Once these critical areas are found, they form the basis for creating training models that let human knowledge weave naturally into AI. Leading this initiative guarantees L&D that AI systems are enhanced with the depth of human knowledge and are data-driven.
Interviews, seminars and surveys with seasoned staff members will help L&D compile real-world scenarios, problem-solving models and decision-making frameworks as inputs. These priceless repositories of information ought then to be compiled into training sets. L&D should thus have access to already-existing materials, including project reports, case studies, decision trees, client comments and resources simultaneously. Between various business divisions and AI developers, they can serve as coordinators, guaranteeing the flawless integration of these insights into AI algorithms. In this sense, L&D can be trusted to build a scalable framework for passing knowledge to AI.
**The use of AI-powered tailored training programs to enhance their effectiveness**
Although reskilling and up-learning staff members is a crucial responsibility, it is not a one-size-fits-all solution. Effective skill development depends on customized learning paths that fit every employee’s demands, preferences, and learning styles.
Fascinatingly, artificial intelligence tools can let trainers design top-notch tailored courses. By including artificial intelligence in their systems, training managers can get insights, including performance data, past learning history, skill shortages, and career goals. These realizations enable trainers to better grasp every employee’s learning path and create initiatives promoting their development.
AI-powered tools can examine vast amounts of data, precisely find trends and gaps, and suggest customized learning materials formats and timelines for every employee. Thus, employees can learn quickly, ... | 5 months ago | Chief Learning Officer | data:image/jpeg;base64,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 | 22 | machine learning workforce | 2025-06-17 14:03:31 | null |
Upskilling of the future workforce to unlock the potential of AI | https://www.fastcompany.com/91240645/upskilling-of-the-future-workforce-to-unlock-the-potential-of-ai | The demand for a workforce proficient in AI has never been greater. Here's where business leaders can start in upskilling their workers. | Across industries and around the world, new technologies are profoundly reshaping the way businesses operate. It seems as though every function in the organization is embracing artificial intelligence (AI) and generative AI in their efforts to modernize and move at market pace. From human resources to marketing to finance and product development, teams are already leveraging AI technologies to help them optimize their time and increase productivity.
UPSKILLING YOUR TEAM: A STARTING POINT
The demand for a workforce proficient in AI has never been greater. For businesses looking to take the lead on workforce upskilling, a strong starting point could include the following:
Strong Foundation: Ensure that team members are proficient in data practices, from compliance to storage to management. IT, analytics, and development teams must be data proficient to start.
Training And Education: Create an AI learning pathway that addresses AI concepts, machine learning algorithms, and their business applications.
Cross-Functional Teamwork: Support collaboration since different teams and functions will have varying business challenges. They want to leverage AI to solve, and encouraging them to collaborate will foster a culture of learning and innovation. It’s also a bonus if these teams share their wins across the organizations so they can learn from each other.
Continuous Learning: Provide micro-learning resources for easily digestible learning opportunities to maintain ongoing education and skill development as the technology evolves, potentially supporting quarterly or annual training opportunities.
Access To AI Experts/Mentorship Programs: Give access to experts within the organization. Establishing a mentorship group that encourages everyone to reach out at any time, engage, and ask questions will only fuel the fire around knowledge and mind-sharing.
By focusing on these strategies, businesses can lay down the groundwork to ensure that current and future workforces move toward success. The workforce is our greatest asset, and we must invest in their growth. That said, I always encourage team members at all levels to augment these business-led strategies by being a life-long learner, staying adaptable and flexible, and gaining familiarity with AI use in a business context.
Daily Newsletter logo
Subscribe to the Daily newsletter.Fast Company's trending stories delivered to you every day
Email *
SIGN UP
Privacy Policy
|
Fast Company Newsletters
HOW TO BE A LIFE-LONG LEARNER
Be A Life-Long Learner: AI will continue to evolve. Stay abreast of the latest developments in AI through ongoing education, online courses, and workshops. Outside of what your company may or may not be providing, there are resources such as Coursera, LinkedIn Learning, and Udemy that provide a plethora of AI-related courses. They do an exceptional job of breaking down complex AI concepts so it’s digestible.
Be Adaptable And Flexible: The only constant is change. Everything that exists today is the result of adapting to change. Whether you have been in the workforce for 40 years or just started an internship this summer, stay informed and embrace change. Seek out continuous improvement and understanding among experts and peers alike.
Be Familiar With AI Use In A Business Context: The more you understand AI use cases, the more equipped you’ll be to demonstrate how AI can be transformative for business outcomes. Perhaps consider shadowing someone who’s leading an AI- or data-related project. This will provide exposure in a professional, real-world setting. Corporate hackathons and competitions can provide great opportunities to learn and network with other experts. Don’t be afraid to sign up with a group of friends or close colleagues and just have fun. You never know what you can learn or the feedback you’ll get from the judging committee.
Members of every workforce generation can—and should—prioritize strategies to prepare for the future of work. Are candidates ready to adopt and implement AI technologies to continue propelling your business? If not, is your organization prepared to integrate a culture of AI learning as part of employee professional development? And if you’re a member of the workforce, are you willing to expand your skill set to remain your business’s most valuable asset?
Preparing the workforce to leverage AI involves a multifaceted approach, integrating education, skills development, and an open mind. To see the ROI that AI can deliver, companies should be prepared to make these investments in their employees. | 6 months ago | Fast Company | data:image/jpeg;base64,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 | 23 | machine learning workforce | 2025-06-17 14:03:31 | null |
U.S. Should Build Capacity to Rapidly Detect and Respond to AI Developments; New Report Identifies Workforce Challenges and Opportunities | https://www.nationalacademies.org/news/2024/11/u-s-should-build-capacity-to-rapidly-detect-and-respond-to-ai-developments-new-report-identifies-workforce-challenges-and-opportunities | A new report examines how AI is likely to complement or replace human labor, reshape job markets, and influence workforce dynamics. | U.S. Should Build Capacity to Rapidly Detect and Respond to AI Developments, New Report Identifies Workforce Challenges and Opportunities
A new report from the National Academies of Sciences, Engineering, and Medicine identifies the need for the United States to build its capacity to rapidly detect and respond to developments in artificial intelligence (AI).
The report, sponsored by the National Science Foundation, highlights the importance of AI in driving innovation and economic growth, but also notes the challenges and opportunities that come with it.
According to the report, the U.S. workforce will need to adapt to the changing demands of an AI-driven economy, with a focus on developing skills in areas such as data science, machine learning, and computer vision.
The report also emphasizes the need for increased investment in AI research and development, as well as efforts to address the ethical and social implications of AI.
Overall, the report provides a comprehensive overview of the current state of AI in the U.S. and identifies key areas for future research and investment.
Authors: National Academies of Sciences, Engineering, and Medicine
Publication Date: November 2024 | 6 months ago | National Academies | data:image/jpeg;base64,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 | 24 | machine learning workforce | 2025-06-17 14:03:31 | null |
AI-Driven Workforce Management Shaping Business Operations | https://technologymagazine.com/articles/ai-driven-workforce-management-shaping-business-operations | As modern organisations grapple with digital transformation, AI-powered workforce management tools offer unprecedented efficiency and... | ## Article Content
### Headline
AI-Driven Workforce Management Shaping Business Operations
### Subhead
None
### Author(s)
Marcus Law
### Publication Date
October 04, 2024
### Main Text
As modern organisations grapple with digital transformation, AI-powered workforce management tools offer unprecedented efficiency and flexibility. The concept of workforce management, which encompasses all the activities needed to maintain a productive workforce, has evolved significantly over the past few decades. From its roots in basic time-tracking and scheduling, it has grown into a sophisticated discipline that leverages technology to optimise human capital.
The rise of workforce management can be traced back to the industrial revolution, when the need for coordinating large numbers of workers in factories first became apparent. However, it's in the digital age that workforce management has truly come into its own. The advent of computer systems in the 1970s and 1980s allowed for more sophisticated tracking and analysis of workforce data. As we moved into the 21st century, the internet, cloud computing, and mobile technologies further transformed the landscape, enabling real-time data collection and analysis on an unprecedented scale.
Today, workforce management has become a critical focus for businesses across industries. A recent survey by enterprise data platform Confluent underscores this trend, revealing that 32% of IT leaders consider workforce transformation a 'top strategic priority' for the year, while 74% agree it's an important priority for their organisations.
Nathan Stearns, VP of Product Management at NICE, explores AI's transformative role in modern workforce management. "AI and digital advancements have transformed the workforce management (WFM) landscape in recent years. First, digital interactions have become much more prevalent and, in many cases, have begun to outnumber voice interactions. Now workforce managers not only have to forecast and schedule staff for front and back office digital and voice interactions, but also for the asynchronous interactions born out of digital interactions.
This shift has complicated the scheduling process, as workforce managers now need to account for a variety of interaction types across multiple channels. "Advancements in AI have led to more digital interactions," Nathan adds. "AI has enabled chatbots to offer the same level of service as a human employee, so much so that in some cases, customers can't distinguish whether they are talking to a chatbot or human. As organisations face an ever-growing volume of interactions and a higher burden on human employees, they can confidently offload more digital interactions to chatbots."
The digital transformation of workforce management has been nothing short of revolutionary. Cloud-based platforms have made powerful workforce management tools accessible to organisations of all sizes, enabling them to streamline operations and improve efficiency. These platforms often integrate with other business systems, such as HR and payroll, to create a seamless flow of information across the organisation.
Artificial intelligence and machine learning algorithms are being employed to analyse vast amounts of workforce data, identifying patterns and trends that would be impossible for humans to discern manually. "AI monitors every interaction, noting things like how much time employees spend on average per interaction and when interaction volumes have spiked. AI can intelligently forecast staffing needs," Nathan notes. "Additionally, AI can match schedules based on employee preferences while ensuring that staffing needs are still met."
This capability allows organisations to predict staffing needs with unprecedented accuracy, optimise schedules based on multiple variables, and even anticipate potential issues before they arise. Moreover, Nathan describes how AI is increasingly assisting human employees with their tasks and interactions. "AI serves as a by-their-side assistant to employees, guiding employees in real-time during tasks and interactions to lead to faster, optimal outcomes."
Andrew Garcia, Senior Director at Dayforce, highlights workforce management tech benefits and future trends. "WFM technology enhances the accuracy of demand forecasting and budgeting, enabling companies to optimise labour costs," he says. "By leveraging historical data and advanced algorithms, these tools help managers predict staffing needs more precisely, reducing overstaffing or understaffing issues. This improved accuracy ensures that the right people are in the right place at the right time, enhancing scheduling efficiency and ultimately leading to better customer service and increased productivity."
Beyond efficiency gains, modern workforce management systems can significantly improve the employee experience. Andrew says: "WFM technology also empowers employees with self-service options, such as the ability to view schedules, request time off, and swap shifts. This level of autonomy and flexibility boosts employee engagement and satisfaction, leading to higher retention rates and a more positive work environment."
Another crucial benefit is improved compliance management. With labour laws and regulations becoming increasingly complex, maintaining compliance is a significant challenge for many businesses. "Compliance management also becomes more achievable with WFM technology," emphasises Andrew. "Automated updates and tracking help organisations stay on top of changing labour regulations, such as the newly proposed Right to Disconnect in the UK, reducing the risk of non-compliance and potential legal issues."
Steve Elcock, Founder & CEO of elementsuite, discusses the challenges and future of workforce management in a digital world. "One significant challenge is the mindset shift required to understand that workforce management is not a binary process but a continuous improvement journey. Companies often try to implement these systems too quickly without adequately preparing their staff or understanding their labour model – in other words they shouldn't try to eat the whole elephant!"
Organisations, Steve adds, must navigate issues such as data privacy concerns, resistance to change from employees, and the need for ongoing training and support. "There may also be resistance from managers who may be uncomfortable relying on AI-driven scheduling. The transition requires careful staging, sufficient data input, and cultural adjustments to ensure successful implementation and adoption while remembering that it is a continuous process not a quick fix."
To overcome these challenges, Steve recommends a staged approach. "Organisations should adopt a staged approach when implementing workforce management solutions," he notes. "This involves gradually introducing the system, starting with simpler tasks and progressively moving towards more automated scheduling. It's crucial to ensure that the organisation's culture is aligned with the new system's requirements, promoting flexibility in employment contracts and working patterns."
Andrew also emphasises the importance of change management and training: "Addressing this resistance requires effective training and change management strategies, including clear communication, hands-on training sessions, and ongoing support to ensure that all stakeholders understand the benefits of the new system and feel confident in using it."
As workforce management continues to evolve, driven by AI and digital advancements, organisations that embrace these technologies and adapt their practices will be well-positioned to optimise their talent, drive efficiency, and maintain a competitive edge in an increasingly digital world. The journey towards fully integrated, AI-powered workforce management is ongoing, with each step bringing new challenges and opportunities for businesses to reimagine how they manage their most valuable asset: their people.
Looking to the future, the field of workforce management is poised for continued innovation, as Nathan describes. "We are also beginning to see a dynamic re-skilling happen between AI and humans. This includes workforce managers, with WFM staff training the AI to perform better and vice versa. This is forever changing employees' roles. For workforce managers, this means getting out of the weeds of data analysis and offloading some of that work to AI so they can focus on the higher value aspects of their jobs, including AI oversight."
The rise of the gig economy and the increasing prevalence of remote work are also shaping the future of workforce management, as Steve highlights: "The most significant shift in workforce management in recent years has been the increase in flexibility. This shift is particularly evident in how working from home, born out of the COVID-19 pandemic, has become widely accepted as a standard business practice. However, in the retail and hospitality sectors where employees can't work from home, flexibility has manifested in various ways, such as accommodating different shift patterns, multiple contracts, and the ability to work at a variety of locations."
Going forward, organisations will need to adapt their strategies to manage a more diverse and distributed workforce, balancing the flexibility demanded by workers with the need for cohesion and productivity. Steve adds: "Self-service systems now enable better management of employee preferences, roles, and locations, which was not possible before. This flexibility accommodates the diverse needs of workers, such as students and parents, and better aligns with today's modern workforce expectations." | 8 months ago | Technology Magazine | data:image/jpeg;base64,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 | 25 | machine learning workforce | 2025-06-17 14:03:31 | null |
Integrating Artificial Intelligence Tools into Education and the Workforce | https://patimes.org/integrating-artificial-intelligence-tools-into-education-and-the-workforce/ | By April Heyward January 10, 2025. John McCarthy (Dartmouth College), Marvin Minsky (Harvard University), Nathaniel Rochester (IBM Corporation) and Claude... | Integrating Artificial Intelligence Tools into Education and the Workforce
By April Heyward
January 10, 2025
The views expressed are those of the author and do not necessarily reflect the views of ASPA as an organization.
John McCarthy (Dartmouth College), Marvin Minsky (Harvard University), Nathaniel Rochester (IBM Corporation) and Claude Shannon’s (Bell Telephone Laboratories) research and establishment of Artificial Intelligence as a discipline sixty-nine years ago ignited the foundation for the Fourth Industrial Revolution (4IR). In August 1955, they submitted a proposal to the Rockefeller Foundation which was funded to investigate “how to make machines use a language; form abstractions and concepts; solve kinds of problems now reserved for humans; and improve themselves.” The evolution of Artificial Intelligence over the last sixty-nine years has far exceed what McCarthy, Minsky, Rochester and Shannon aimed to achieve. AI has transformed every sector of society and has facilitated new ways of thinking, working and living. The 4IR emerged around fourteen years ago and focused on the connectivity of diverging technologies (e.g., AI, Internet of Things, Robotics) to create intelligent/smart systems, increase efficiency, automate processes and operations, etc. One of the consequences of the 4IR is the impact on jobs and the necessity for new skills in the workforce. 4IR is still ongoing but simultaneously the Fifth Industrial Revolution (5IR) emerged within the last four years. 4IR focuses on connectivity but the 5IR focuses on human-AI collaboration and human-machine collaboration. The collaboration lends itself to Augmented Intelligence.
The initial focus of 5IR is to bring the human back into focus and to collaborate with AI and machines. Heyward’s primary aim is to underscore the importance of integrating AI tools into education and the workforce. The secondary aim is to underscore considerations of the use and integration of AI tools.
The emergence and availability of Large Language Models (LLMs) has sparked a new interest in AI, but it has also brought forth a sense of urgency due to its capabilities. In “The Evolution of AI: Integrating Artificial Intelligence into Health Informatics”, Heyward described LLMs as a type of Generative AI which is a subset of Machine Learning. Examples of LLMs include, but not limited to, OpenAI ChatGPT, Meta Llama, Claude, Google Gemini and Microsoft Copilot. LLMs can perform many tasks such as sentence completion, text and image classification, analysis, generate images and question answering. OpenAI ChatGPT, Google Gemini or Microsoft Copilot does not require computational skills or a computer science background which contributes to the increased interest in AI. The accessibility and capabilities of these types of LLMs and the availability of generative information also contributes to the increased interest in AI. The continual evolution of AI has advanced the information society. Employing LLMs and other areas of AI raises new questions and considerations when integrating AI tools into education and the workforce. What is the responsible use of AI (e.g., responsible AI)? What are the security considerations when using and integrating AI? Ethical considerations? Privacy considerations?
The rapid evolution of AI has forced a paradigm shift. This new era requires knowledge of AI tools. It is no longer enough to be an expert in one’s academic discipline and professional practice. This new era requires a balance between being the expert in one’s academic discipline or professional practice and being educated in how to employ and integrate AI tools into the academic discipline or professional practice. There are many perceptions of AI from perceiving AI as a replacement of humans in operations and processes, a learning tool and resource, an assistant and to be a proxy. AI requires new skills, creates new jobs, and is redefining existing jobs and professions. There is a newer trend that knowledge of and experience with AI tools such as OpenAI ChatGPT, Microsoft Copilot, Google Gemini are required and integrated into job descriptions and interviews. How can education and the current and future workforce be reimagined with the integration of AI tools? First, view AI as a collaborator and partner which will require a paradigm shift in thinking and operating. Second, integrate artificial intelligence into education standards at the primary and secondary education levels. Integrate artificial intelligence into the curriculum at the higher education level. The future workforce will be required to have knowledge and experience with AI tools.
Third, allocate financial and technological resources to support artificial intelligence integration into primary, secondary, and higher education levels. Fourth, educate and train teachers and educators on the use of AI tools. This should include providing methods and examples on how to reimagine teaching with AI tools, integrate AI tools into curriculum and assessment development and providing hands on activities for students to work with AI tools. Fifth, the current workforce, as applicable, should reskill, pursue microcredentials and other professional development opportunities. AI can be a resource and a collaborator across disciplines and professions. Learning how to work with AI tools can lead to building AI models, LLMs, chatbots, etc. This will lead to future innovation and technological and societal advancement. For instance, in healthcare a group of researchers built and employed an LLM to screen and match patients to clinical trials. Patient recruitment and screening time was reduced by almost fifty percent. McCarthy and colleagues’ foundational research continues to spur the AI evolution.
Author: April Heyward is an Assistant Professor and Director of Artificial Intelligence Integration and Creative Learning at the Medical University of South Carolina. She is an ASPA SSTIG Board Member and Digital Twins for Health Consortium Member. Heyward can be reached at [email protected]. All views and opinions are her own and does not reflect the views and opinions of her affiliations. | 5 months ago | PA TIMES Online | data:image/jpeg;base64,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 | 27 | machine learning workforce | 2025-06-17 14:03:31 | null |
Elevate workforce productivity through seamless personalization in Amazon Q Business | Amazon Web Services | https://aws.amazon.com/blogs/machine-learning/elevate-workforce-productivity-through-seamless-personalization-in-amazon-q-business/ | Amazon Q Business is a fully managed generative AI-powered assistant that can answer questions, provide summaries, generate content, and complete tasks. | Elevate workforce productivity through seamless personalization in Amazon Q Business
by James Jory, Nihal Harish, Harsh Singh, Gaurush Hiranandani, and Pranesh Anubhav on 02 OCT 2024
Personalization can improve the user experience of shopping, entertainment, and news sites by using our past behavior to recommend the products and content that best match our interests. You can also apply personalization to conversational interactions with an AI-powered assistant. For example, an AI assistant for employee onboarding could use what it knows about an employee’s work location, department, or job title to provide information that is more relevant to the employee. In this post, we explore how Amazon Q Business uses personalization to improve the relevance of responses and how you can align your use cases and end-user data to take full advantage of this capability.
Amazon Q Business is a fully managed generative AI-powered assistant that can answer questions, provide summaries, generate content, and complete tasks based on the data and information that is spread across your enterprise systems. Amazon Q Business provides more than 40 built-in connectors that make it effortless to connect the most popular enterprise data sources and systems into a unified and powerful search index that the AI assistant can use to help answer natural language questions from your workforce. This allows end-users to find the information and answers they’re looking for quickly, which leads to increased productivity and job satisfaction. Amazon Q Business preserves the access permissions in the source systems so that users are only able to access the information through Amazon Q Business that they have access to directly within these systems.
Responses are personalized by Amazon Q Business by determining if the user’s query could be enhanced by augmenting the query with known attributes of the user and transparently using the personalized query to retrieve documents from its search index. User attributes, such as work location, department, and job title, are made available to Amazon Q Business by the system used to authenticate user identities that is configured with the Amazon Q Business application. Depending on the documents available in the index, the personalized query should improve the relevancy of the returned documents, which in turn can improve the relevancy of the generated response based on those documents.
The process by which user attributes flow to an Amazon Q Business application varies based on the identity federation mechanism used to authenticate your workforce for the application. Federation with AWS IAM Identity Center is the recommended approach, where your workforce users, their attributes, and group membership are synchronized from your identity provider to IAM Identity Center. Federation with IAM is another option, where your workforce federates from your SAML 2.0 or OIDC compliant IdP with AWS Identity and Access Management (IAM) to access your Amazon Q Business application.
To demonstrate how personalization works in practice, let’s take an example of internal training made available to employees of a multi-national company. Imagine you lead the training department for an enterprise company and you’re tasked with improving the access to training opportunities offered to employees. You’ve done a great job documenting this information for all locations where training is provided and published it on your company’s Microsoft SharePoint site, but the feedback from employees is that they don’t know where to find the information. The confusion stems from the fact that your company also publishes internal company information and documentation on Confluence, Box, and a wiki. Additionally, your department uses ServiceNow for training support, which has developed into another source of valuable but under-utilized information.
The first challenge to solve is discoverability of the information spread across these disparate and disconnected systems. Through the connectors described earlier, Amazon Q Business can bring together the information in these systems and provide a conversational user interface that allows employees to ask questions in natural language, such as, “What training is available?” With the discoverability challenge solved, there is still an opportunity to further optimize the user experience. This is where personalization comes in. Consider the basic question, “What training is available?” from a user who works out of the San Francisco, CA, office. Based on this question, Amazon Q Business can find documents that describe the training classes available across all corporate locations, but lacks the knowledge of the user’s home office location to be more precise in its answer. Providing an answer based on the location, or even a blend of multiple locations, isn’t as accurate as if the answer were based on where the employee worked. The employee could be more explicit in their question by including their location, but the goal of AI assistants is to better understand the user’s intent and context to be able to provide the most accurate information possible for even the most basic questions. Knowing key information about the user allows Amazon Q Business to seamlessly personalize the retrieval of documents and therefore lead to a more accurate response.
At the core of Amazon Q Business is a technique called Retrieval Augmented Generation (RAG). At a high level, RAG involves taking a user’s request and finding passages from a set of documents in a searchable index that are most similar to the request and then asking a large language model (LLM) to generate a response that provides an answer using the retrieved passages. Given the question, “What training is available?” and the number of locations for the company, the top document passages returned from the index and provided to the LLM may not even include the user’s location. Therefore, the more precise the query to the retrieval layer, the more accurate and relevant the ultimate response will be. For example, modifying the query to include details on the user’s location should result in document passages specific to the user being returned at or near the top of the list rather than buried further down the list.
To configure user attributes in your IdP, you need to maintain user attributes in your IdP’s directory. The process for making user attributes available to your Amazon Q Business application varies based on the identity federation configuration. If you configure your Amazon Q Business application with IAM Identity Center, you simply need to maintain user attributes in your IdP. Because IAM Identity Center supports the SCIM standard, you can set up user profiles and their attributes to be automatically synchronized with IAM Identity Center. After the users and attributes are synchronized to IAM Identity Center, they can be accessed by Amazon Q Business from either the web experience or through a custom client integration. If you configure your Amazon Q Business application to use IAM federation, user attributes are also maintained in your IdP, and the attributes are passed to your Amazon Q Business application from your IdP using either a SAML 2.0 assertion or an OIDC claim depending on the provider type that you set up as your IAM IdP. | 8 months ago | Amazon Web Services (AWS) | data:image/png;base64,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 | 28 | machine learning workforce | 2025-06-17 14:03:31 | null |
Generative A.I. Can Transform Workforce Development: The Future of Corporate Training | https://observer.com/2024/09/how-generative-ai-is-transforming-workforce-development-corporate-training/ | The benefits of AI include creating hyper-engaging, real-time personalized learning experiences, improving knowledge retention, reducing administrative burdens. | Generative A.I. Can Transform Workforce Development: The Future of Corporate Training
By replacing human intelligence with chatbots in training initiatives that rely on real-time data analysis and feedback, companies can more objectively and efficiently measure performance.
By Kayvon Touran • 09/04/24 8:00am
When applied to workforce development, the benefits of A.I. include creating hyper-engaging, real-time personalized learning experiences, improving knowledge retention, reducing administrative burdens and generally getting people excited about corporate training.
Upskilling and reskilling are new-age slang for the long-standing corporate training industry. Companies invest billions annually in workforce development programs that improve employee well-being by teaching new technologies, sharpening soft skills like decision-making and problem-solving, and engaging high performers with educational opportunities. In 2021, Amazon committed $1.2 billion to train 300,000 employees as part of its Upskilling 2025 Pledge after reporting that almost 70 percent of Amazon employees interested in upskilling said they’d consider seeking employment opportunities with other companies offering training programs that skilled workers need to compete in today’s labor market.
While human resources departments at companies of all sizes undoubtedly understand the value of support services and job training associated with workforce development, few actually track the outcomes of these initiatives, and even fewer track the ROI. In fact, a recent survey by D2L indicated that only 33 percent of learning leaders measure the impact of learning programs in a financial sense. This lack of data sets has led to a dearth of developing new modalities for workplace learning. Without metrics, you can’t measure the impact of something—and it becomes hard to justify the effort and expense to experiment and optimize. As a result, most organizations, including the ones that care deeply about developing their staff, rely on industry standards such as subscriptions to large catalogs of asynchronous online courses. This reality holds otherwise innovative and pioneering companies back from creating a competitive advantage with workforce development initiatives.
With the rapid advancement of artificial intelligence, a subsequent widening skill gap across virtually every role, and a growing body of cutting-edge research on the science of learning, it’s time to reexamine how learning happens at work—and how the use of A.I. in workforce development benefits the future of work.
Generative A.I. systems are poised to transform more than just content development, from delivery formats to user interfaces, assessment methodologies and beyond. As the CEO and co-founder of a company that marries learning science and A.I. technologies to help corporate training programs become more contextualized, measured and applied, I’ve seen the impact of A.I. on business processes firsthand. When applied to workforce development, the benefits of A.I. include creating hyper-engaging, real-time personalized learning experiences, improving knowledge retention, reducing administrative burdens and generally getting people excited about corporate training.
Outside the confines of traditional academia, which is traditionally hesitant to adopt new technologies, workforce development is ripe for innovation. It provides a perfect arena for experimenting with new learning modalities.
The Impact of Generative A.I. on Workforce Development
According to a recent McKinsey report, generative A.I. has three significant transformative advantages and the potential to transform workforce development programs in several ways:
* A.I. systems can improve knowledge retention and increase engagement via personalized learning experiences that generate content tailored to individual employees’ needs and learning styles.
* Generative A.I. can help employees practice and develop new skills in a safe and controlled environment by simulating real-world scenarios experienced on the job. This is useful for industries that require hands-on training, such as healthcare and manufacturing. However, it also creates an entirely new opportunity for knowledge workers to rehearse and refine critical human interactions with artificial intelligence acting as an external/internal stakeholder.
* Natural language processing can provide real-time feedback and assessment, reducing bias inherent to human intelligence and freeing instructors to focus on more strategic and creative tasks. This can help reduce the administrative burden of training and development and improve the overall efficiency of corporate learning programs.
Examples of A.I. in Workforce Development
A growing number of companies use generative A.I. to enhance workforce development. IBM is using generative AI to create personalized learning experiences for its employees. The company’s A.I.-powered learning platform uses machine learning algorithms to generate content tailored to individual employees’ needs and learning styles. Though large enterprises are leading the charge with A.I.-driven innovation, this technology is not limited to large-scale global organizations. A.I. use is increasing among smaller organizations seeking to streamline and improve specific workflows, such as performance reviews and training sales teams to improve the customer experience. By replacing human intelligence with chatbots in training initiatives that rely on real-time data analysis and feedback, companies can more objectively and efficiently measure performance. In certain use cases, employees can reenact routine tasks and typical job scenarios with virtual assistants and natural language processing. For example, A.I. tools can help human resources teams improve their delivery of difficult news like job losses, grading hard metrics like legal compliance and measuring soft skills like listening and exhibiting empathy. On the flip side, generative A.I. can train hiring managers on interviewing best practices, helping them push job seekers beyond regurgitating their resumes and into conversations that help managers assess whether interviewees have the required skills and experience.
A.I. systems can even perform 360-degree reviews, delivering results that are more precise, objective and thorough. Automating data analysis also reduces administrative work for management and HR teams, streamlining the entire process.
The Future of Work With Generative A.I.
As the use of generative A.I. in workforce development continues to grow, expect to see even more innovative applications. Across industries, generative A.I. will be increasingly used to create virtual reality training experiences or to develop A.I.-powered coaching and mentoring programs. Of course, challenges and risks are to be expected of any new technology. A.I.-generated content can be biased or inaccurate, and employees can become too reliant on A.I.-powered learning tools. To mitigate such risks, companies must develop clear strategies for using generative A.I. in workforce development and ensure that A.I.-powered learning tools are designed and implemented in transparent, fair and accountable ways.
The pace at which A.I. is evolving can seem daunting, almost as if we’re watching the rise of the internet all over again—each step forward rewriting the rules on how we work. The paradox of AI accelerating a rapidly growing skill gap while being part of the solution is fascinating. As a result, corporate development will play an increasingly vital role in ensuring organizations stay agile and capitalize on competitive advantages made possible by this technology. As with any other experimentation process, it’s critical to implement systems in place to objectively measure the impact of how an investment, regardless of its modality, enables that advantage. Herein lies the most powerful and enduring application of A.I. in workforce development. | 9 months ago | Observer | data:image/jpeg;base64,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 | 29 | machine learning workforce | 2025-06-17 14:03:31 | null |
Salesforce Agentforce 2.0 Will Tackle Workforce Automation | https://technologymagazine.com/articles/salesforce-agentforce-2-0-will-tackle-workforce-automation | Salesforce has expanded its AI offering with Agentforce 2.0, targeting enterprise customers seeking to automate routine tasks across... | Salesforce Agentforce 2.0 Will Tackle Workforce Automation
By Marcus Law
December 18, 2024
5 mins
Salesforce has unveiled Agentforce 2.0: an enhancement to its AI platform
Salesforce has expanded its AI offering with Agentforce 2.0, targeting enterprise customers seeking to automate routine tasks across departments
The rise of AI in the workplace has prompted technology companies to develop solutions that automate routine tasks. This shift towards automation has created demand for platforms that can integrate with existing business software and perform tasks without constant human oversight.
Now, Salesforce has unveiled Agentforce 2.0: an enhancement to its AI platform that enables companies to deploy automated digital workers across their organisations. The platform introduces features that allow businesses to integrate AI agents – software programs that can perform tasks independently – into existing workplace communication tools such as Slack: the messaging platform owned by Salesforce.
Salesforce enhances AI capabilities with MuleSoft integration
The system incorporates MuleSoft, Salesforce’s integration software, to connect AI agents with enterprise applications. This enables the automated workers to access multiple systems and perform complex tasks such as updating customer records or processing sales data.
Salesforce CEO Marc Benioff
The platform includes a new API Catalog that enables technical teams to view and manage APIs across Salesforce, MuleSoft, Heroku and external services from a central location. This feature aims to simplify the process of connecting different software systems.
Marc Benioff, Chair and CEO of Salesforce, says: “Agentforce 2.0 takes our revolutionary Salesforce digital labour platform to another level, with new reasoning, integration and customisation features that supercharge autonomous agents with unprecedented levels of intelligence, precision and accuracy.”
Agentforce expands into workplace messaging platforms
The integration with Slack enables users to deploy AI agents within message channels and direct communications. Users can interact with Agentforce through mentions in conversations or access it through a dedicated hub within Slack.
The platform includes pre-built capabilities for sales teams, allowing AI agents to nurture sales leads and provide feedback on customer interactions. It also features integration with Tableau, Salesforce's data visualisation software, enabling agents to generate charts and analyse data.
Enterprise customers report early adoption success
The Adecco Group, a recruitment company, has implemented Agentforce to streamline its hiring processes. Greg Shewmaker, Senior Vice President of Global Operations and AI at The Adecco Group, says: “By centralising data across over 40 systems with Salesforce's Data Cloud and leveraging Agentforce, we’re transforming the candidate experience.
Key facts
* 60 million: Annual visits to Salesforce's Help pages
* 83%: Customer queries solved without human intervention since October
* 50%: Reduction in issues requiring human intervention after Agentforce deployment
Agentforce will help prequalify candidates, enhance CVs and ensure faster job placements.”
Accenture, the professional services firm, has begun using the platform within its sales operations. Stephanie Sadowski, Salesforce Business Group lead at Accenture, says: “Our sales team within Accenture's Salesforce Business Group and Accenture Song are starting to use Agentforce to automate contact and close plan creation, surface insights through enterprise search, and keep teams aligned with dynamic updates.”
Technical capabilities expand with Atlas Reasoning Engine
The platform incorporates retrieval augmented generation (RAG), a technology that enables AI systems to access and process information from various sources to provide responses. This feature allows Agentforce to handle complex queries by gathering relevant data before formulating responses.
The Atlas Reasoning Engine, which powers Agentforce, can now process multi-layered interactions. For example, it can handle queries about investment strategies by considering factors such as income levels and risk preferences, using multiple data sources to formulate responses.
Data Cloud, Salesforce’s data management platform, now enhances RAG capabilities by adding contextual metadata to information snippets. This feature aims to improve the accuracy of responses by providing additional context to the AI system.
Salesforce reports internal implementation results
Salesforce has implemented Agentforce on its own help pages, which receive more than 60 million visits annually. The company reports that since October, the system resolves 83% of customer queries without human intervention and has reduced the number of issues requiring human assistance by half.
Indeed, the job search platform, has integrated Agentforce into its operations. Anthony Moisant, CIO at Indeed, says: “By leveraging Agentforce, Indeed can stay focused on its mission to help people find jobs while advancing its goals, including reducing time-to-hire by 50% and helping 30 million individuals facing barriers to employment secure jobs by fiscal year 2030.” | 5 months ago | Technology Magazine | data:image/jpeg;base64,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 | 30 | machine learning workforce | 2025-06-17 14:03:31 | null |
Integrating Artificial Intelligence Into Your Workforce | https://www.forbes.com/councils/forbesbusinesscouncil/2024/11/05/integrating-artificial-intelligence-into-your-workforce/ | When implementing AI, it's important to do so in a way that maximizes human potential while enhancing the capabilities of your workforce. | Cory McNeley is a Managing Director at UHY Consulting. gettyArtificial intelligence (AI), like any disruptive technology, tends to
evoke mixed reactions. While some employees embrace the change, others may
resist it. Preparing your workforce for this shift is an important yet
challenging process that typically involves developing new skills, shifting
mindsets and aligning daily tasks with complimentary AI. Let's take a
moment to focus on the "people" element of the People, Process, and
Technology Framework and what to consider when encouraging your workforce
to embrace AI tools.The Growth Of AIHaving worked in machine learning since the late 2000s, my initial
impressions of AI tools like ChatGPT were lukewarm. Early iterations seemed
more like novelty acts than transformative tools. However, I've kept track
of their rapid progress, and the pace of improvement has been remarkable.
AI’s development now presents opportunities that are hard to ignore and
even harder to predict, requiring constant adaptation.Today, AI is automating tasks from data entry to sophisticated data
analysis, freeing employees to focus on more meaningful work. Research
shows that AI can increase employee productivity by an average of 66%.
However, this rapid transformation also stirs anxiety, with employees
worrying their jobs may become obsolete.So where do you start? How can you get the most out of your organization’s
AI efforts?1. Conduct a skills audit.Preparing your workforce for AI starts with a thorough understanding of the
organization’s current capabilities. Evaluate employee preparedness by
determining the readiness of each team member for being impacted by AI,
including their technical capabilities and essential soft skills such as
adaptability, communication and creativity. This will provide insight into
the overall training needs for various roles and responsibilities.2. Determine the best areas to apply AI.AI will inevitably change how work is structured within your organization,
so you will likely need to redesign roles, responsibilities, processes and
workflows. Evaluate existing roles to differentiate tasks suitable for AI
from those requiring human input, creativity, intuition and strategic
thinking. Be especially cautious about implementing AI in areas that may
result in adverse decisions being made, such as credit and collection
departments.3. Build tailored AI literacy programs.Once you have conducted a skills audit and identified skills gaps, the next
step is to develop a comprehensive plan to bridge those gaps. Start by
developing a core skill set needed to use your AI tool, including skills
like data literacy to interpret AI outputs, prompt engineering to interact
with AI systems, and an understanding of AI ethics for responsible usage.
AI literacy programs should foster a deeper understanding of what AI is
and, perhaps more importantly, what it isn’t, educating employees on
fundamentals like AI's workings, limitations and potential effects on daily
tasks. function loadConnatixScript(document) { if (!window.cnxel) { window.cnxel
= {}; window.cnxel.cmd = []; var iframe = document.createElement('iframe');
iframe.style.display = 'none'; iframe.onload = function() { var iframeDoc =
iframe.contentWindow.document; var script =
iframeDoc.createElement('script'); script.src =
'//cd.elements.video/player.js' + '?cid=' +
'62cec241-7d09-4462-afc2-f72f8d8ef40a'; script.setAttribute('defer', '1');
script.setAttribute('type', 'text/javascript');
iframeDoc.body.appendChild(script); }; document.head.appendChild(iframe);
const preloadResourcesEndpoint =
'https://cds.elements.video/a/preload-resources-ovp.json';
fetch(preloadResourcesEndpoint, { priority: 'low' }) .then(response => { if
(!response.ok) { throw new Error('Network response was not ok',
preloadResourcesEndpoint); } return response.json(); }) .then(data => {
const cssUrl = data.css; const cssUrlLink = document.createElement('link');
cssUrlLink.rel = 'stylesheet'; cssUrlLink.href = cssUrl; cssUrlLink.as =
'style'; cssUrlLink.media = 'print'; cssUrlLink.onload = function() {
this.media = 'all'; }; document.head.appendChild(cssUrlLink); const hls =
data.hls; const hlsScript = document.createElement('script'); hlsScript.src
= hls; hlsScript.setAttribute('defer', '1'); hlsScript.setAttribute('type',
'text/javascript'); document.head.appendChild(hlsScript); }).catch(error =>
{ console.error('There was a problem with the fetch operation:', error);
}); } } loadConnatixScript(document); 4. Make your programs user-friendly.Design training programs that can grow as AI technology advances, making it
easy to update content. It's important to recognize that various positions
within your organization will encounter AI in different ways, so tailor
your training programs to align with specific roles and target audiences.
You can do this by creating specialized learning pathways that correspond
to each role so that the training is relevant and can be directly used in
their day-to-day tasks. Include both online and in-person sessions to
accommodate different learning preferences and schedules.Also, be sure to incorporate a feedback mechanism that regularly assesses
adaptation and performance with the training methods. This can allow you to
continually evolve the content and delivery to maximize training hours.5. Prioritize change management and employee engagement.AI is designed to help your organization grow and innovate by maximizing
your employees' potential. However, let's face it: humans are creatures of
habit, and most of us don’t embrace change easily. That's why the success
of AI implementation often hinges on strong change management practices and
active employee engagement.Always strive to be transparent with your communications. Explain the
business objectives being met with AI adoption, its benefits to the
organization and how it improves current roles without replacing them. When
you roll out a new tool, encourage your employees to experiment with it in
a safe environment. These practices can help build trust and creativity in
your employees and ease concerns regarding job security.I also recommend conducting regular open discussions and Q&A sessions to
debunk myths and alleviate fears, highlighting AI's role as a job aid
versus a replacement employee. Proactively address concerns and, if
warranted, include them in the process of mitigating the issues. I have
found that employees who have a say in an AI redesign are more likely to
embrace the change. Nobody likes being forced to change, so guide them
during the journey and provide continual updates on the program's progress.6. Measure and monitor success.Track your success by defining clear and concise KPIs that are measurable.
This will help you understand AI’s overall effect on productivity,
efficiency and business performance, as well as the human impact, so you
can adapt accordingly.ConclusionIntegrating AI into your organization involves more than just adopting new
technology; it also needs a thoughtful approach to workforce development,
change management and job role optimization. By conducting a skills audit,
offering tailored training and fostering a culture of learning and
innovation, your organization can position itself to thrive in an AI-driven
future. The key is not to just implement AI but to do so in a way that
maximizes human potential while enhancing the capabilities of your
workforce. Forbes Business Council is the foremost growth and networking organization
for business owners and leaders. Do I qualify? | 7 months ago | Forbes | data:image/jpeg;base64,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 | 31 | machine learning workforce | 2025-06-17 14:03:31 | null |
5 essential skills for thriving in the AI-driven workplace of 2025 | https://hrexecutive.com/5-essential-skills-for-thriving-in-the-ai-driven-workplace-of-2025/ | To equip workers with skills for the future, HR must focus on the potential of AI and the human qualities machines can't replicate. | # 5 essential skills for thriving in the AI-driven workplace of 2025
By: Leo Goncalves
Date: October 17, 2024
With unemployment on the rise and artificial intelligence reshaping workplaces, there is growing anxiety among workers about job security and the relevance of current skills.
While AI may be viewed as a relentless force, I believe it also presents an incredible opportunity for personal and professional growth. Those who understand and harness its potential stand to gain significantly in a growing AI-driven economy.
That’s why workers and leaders must adapt together so they and their companies stay competitive. That’s especially true as AI barrels through industries more forcefully than ever in 2025, two years after ChatGPT set off an arms race in the corporate world with the use of chatbots for ad targeting, content creation and other tasks.
It’s imperative that employees care about AI and its potential, and therefore stay ahead of the disruption that it’s likely to cause. As for HR and business leaders, it’s their duty to balance automation and human skills.
Leaders should be championing AI literacy across all levels of the organization by investing in training programs, creating cross-functional teams to foster innovation, and establishing AI committees to guide responsible use. Smart executives create a continuous culture of learning, helping employees keep up with a steep learning curve that comes with any new technology. Education will help companies and workers navigate this shift.
# 5 skills for 2025
I’ve been urging industry leaders to focus on helping workers develop five essential skills that will be needed to thrive in an AI-enhanced economy. My approach is rooted in finding a balance between leveraging AI for its strengths and emphasizing human qualities that machines can’t replicate. These skills can be taught and reinforced with forethought and determination.
### 1. Technical proficiency
As AI becomes more integrated into workplaces, workers need a foundational understanding of AI tools and data literacy. These skills enable effective collaboration with AI systems, enhancing their decision-making processes. Companies should invest in targeted training, like workshops on machine learning and data visualization, and encourage hands-on experience through internal AI-driven projects. It’s important to know that AI’s capabilities will only accelerate, so employees can’t stumble at the starting gate.
### 2. Adaptability
This is something that needs to be ingrained in the workforce of the future. To stay relevant, workers must adopt a mindset of continuous learning and adaptability. Employers can support this by encouraging job rotations, new project assignments or role expansions that stretch employees’ skills and push them out of their comfort zones. Adaptability workshops and change management training can also prepare teams for future shifts.
### 3. Creativity
In a world where AI handles data and routine tasks, human creativity becomes a differentiator. And it is human creativity that remains essential to faster innovation, which gives companies a competitive edge. Employers can unlock workers’ creativity by starting with simple exercises such as regular brainstorming sessions or more cross-departmental projects. It’s not just about getting the work done; it’s figuring out new ways to do it better, faster and more economically. AI will be key to achieving those goals in partnership with humans. It should boost worker productivity and engagement, too.
### 4. Emotional intelligence
AI can handle technical tasks, but it can’t replicate the human ability to understand and manage emotions. Empathy, active listening and clear communication are crucial for team dynamics and customer relationships. Organizations can enhance these skills through training programs focused on empathy exercises, conflict resolution and effective communication. Encouraging a culture where feedback is constructive and emotions are managed positively will help bridge the gap between human and AI interactions.
### 5. Ethical judgment and integrity
With AI influencing decisions that impact people’s lives, ethical considerations become paramount. Workers must understand the ethical implications of AI, from data privacy to bias in algorithms. Companies should provide ethics training, host discussions on real-world ethical dilemmas, and establish AI ethics committees to review and guide AI-related decisions. Promoting a culture of integrity ensures AI’s use aligns with both corporate and societal principles.
## How to develop skills
Developing these skills is a shared responsibility among workers, employers and educational institutions. Workers must take the initiative to learn and adapt by, for example, using online resources, volunteering for AI-related projects within their organizations or participating in affinity groups.
Employers, in turn, should provide access to training resources, support skills development and foster a culture of continuous learning. This has taken on additional importance as a greater share of companies are embracing skills-based, as opposed to credential-centered, hiring. In fact, a recent survey of 3,000 international workers indicated that 73% of employers used skills-based hiring last year, up from 56% in 2022. This trend underscores the need for continuous skill development over traditional credentialing.
Educational institutions, for their part, should be prepared to change up their curricula to reflect this new workplace reality, offering programs that focus on both technical and human-centric skills. They ought to consider continuous forms of teaching rather than traditional term-based classes, among other changes.
Rather than fearing AI as a job-stealing force, let’s view it as a catalyst for human advancement. By doubling down on what makes us uniquely human—our creativity, empathy and ethical judgment—we can shape a future where AI enhances our work, fuels innovation and unlocks new levels of growth and opportunity. | 8 months ago | HR Executive | data:image/jpeg;base64,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 | 32 | machine learning workforce | 2025-06-17 14:03:31 | null |
ISC2 Cybersecurity Workforce Study: Shortage of AI skilled workers | https://securityintelligence.com/articles/isc2-cybersecurity-workforce-study-shortage-ai-skilled-workers/ | The 2024 ISC2 Cybersecurity Workforce Study saw artificial intelligence (AI) jump into the top five list of security skills. | ISC2 Cybersecurity Workforce Study: Shortage of AI skilled workers
15 January 2025
Sue Poremba
Writer
AI has made an impact everywhere else across the tech world, so it should surprise no one that the 2024 ISC2 Cybersecurity Workforce Study saw artificial intelligence (AI) jump into the top five list of security skills.
It’s not just the need for workers with security-related AI skills. The Workforce Study also takes a deep dive into how the 16,000 respondents think AI will impact cybersecurity and job roles overall, from changing skills approaches to creating generative AI (gen AI) strategies.
According to the study, two-thirds of respondents think that their expertise in cybersecurity will augment AI technology; on the flip side, a third are concerned their jobs could be eliminated in an AI-focused world.
That, of course, is not going to happen immediately. Not even half the respondents have implemented gen AI into their tools. The more immediate concern for cybersecurity professionals is budgets.
“In 2024, 25% of respondents reported layoffs in their cybersecurity departments, a 3% rise from 2023, while 37% faced budget cuts, a 7% rise from 2023,” the report stated.
These budget cuts have impacted the skills gap, as two-thirds of the respondents said not only have the budget cuts led to current staffing shortages but they are expected to make closing the skills gap even more difficult in the next few years.
Many of the respondents pointed out that the skills gap has had a more negative effect on organizational security than the decrease in on-site staff. In part because the funding isn’t available for training and because those with skills in high demand are moving on to better-paying positions, many security teams struggle to address the threats and risks in today’s cybersecurity landscape.
The role of AI in the skills gap
Two years ago, AI wasn’t even considered a required skill set for cybersecurity jobs, but now it is a top five skill, said Jon France, CISO with ISC2.
“And we suspect that probably next year, it will be the number one in-demand skill set around security,” France said in a conversation at ISC2’s Security Congress in Las Vegas.
AI’s role in cybersecurity is changing because of the exponential increase in data and the need to gather good intelligence on the data being generated.
“AI is one of the tools that can obviously consider large data sets very quickly,” said France. Still, human eyes are necessary to validate the results generated from AI models. This is where AI security skills will be most needed to advance the changes in how analysts and incident responders analyze data.
France also believes that AI will change the scope of entry-level security positions. “I think if you’re coming into the profession, and if you’ve got to pick up one thing to learn, you’ll get the most favorable opportunities if you have experience of using generative AI coding.”
Right now, however, there is a bit of a disconnect between the technical skills that hiring managers think are needed and what non-hiring managers want. Both types of managers list cloud computing security skills at the top of the list, but when asked about AI/ML skills, only 24% of hiring managers said it was a skill they want right now, ranking last on the skills-need list. When non-hiring managers are asked about the skills most in demand to advance careers, 37% said AI/ML, higher than every other listed skill but cloud security.
AI is reinventing cybersecurity skills
In its study AI in Cyber 2024, ISC2 found that 82% of respondents are optimistic that AI will improve work efficiency, and 88% thought it would impact their job role in some way. Relying more on AI in the cyber world has a lot of positive points, but there are also issues around the technology causing stress. Four in ten respondents said they aren’t prepared for the explosion of AI, according to the AI study, and 65% said their organization needs more regulations around the safe use of gen AI, according to the Workforce study.
But there are also a lot of question marks surrounding what skills will be needed. “While study participants speculated on what skills may be automated or streamlined, they cannot yet predict what activities, if any, AI will replace,” the study reported. Perhaps this is why hiring managers are showing some reluctance to hire cybersecurity professionals who have AI technical expertise.
With AI, many anticipate an uptick in the need for non-technical skills. Cybersecurity has been more open to finding potential professionals outside of the traditional technical areas and training them for their new roles, so it isn’t too surprising that, because hiring managers aren’t certain of the type of skills that will be required for using gen AI as a security tool (or for securing gen AI, for that matter), there is a greater willingness to default to non-tech skills that are seen as more transferable as the technology evolves. Overall, strong communication skills were listed as the most in-demand skill set across all of cybersecurity, followed closely by strong problem-solving skills and teamwork/collaboration skills.
The cyber workforce in the world of AI
Looking at the overall picture of how AI skills will fit into the cybersecurity workforce going forward, it is likely that the issues that hamper hiring today will have a similar impact on AI expertise. Budget cuts will decrease the workforce, as already mentioned. France pointed to the human resources gap as well, where entry-level positions are posted with requirements such as certifications that require five years of work experience.
“We also need to blow this myth: New entrance into the cybersecurity workforce doesn’t mean young. It can be a career change. In fact, career changes bring a lot of different viewpoints and experiences,” said France.
Hire for the skills the employee is bringing to the table, even if they aren’t what you need right now. “The rest,” said France, “can be taught.” | 5 months ago | IBM | data:image/jpeg;base64,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 | 33 | machine learning workforce | 2025-06-17 14:03:31 | null |
Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI | https://aws.amazon.com/blogs/machine-learning/principal-financial-group-uses-qnabot-on-aws-and-amazon-q-business-to-enhance-workforce-productivity-with-generative-ai/ | In this post, we explore how Principal used QnABot paired with Amazon Q Business and Amazon Bedrock to create Principal AI Generative Experience. | # Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI
by Ajay Swamy, Dr. Nicki Susman, Joel Elscott, Austin Johnson, and Bob Strahan on 15 NOV 2024
Principal is a global financial company with nearly 20,000 employees passionate about improving the wealth and well-being of people and businesses. In business for 145 years, Principal is helping approximately 64 million customers plan, protect, invest, and retire, while working to support the communities where it does business and build a diverse, inclusive workforce.
As Principal grew, its internal support knowledge base considerably expanded. This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface. The chatbot improved access to enterprise data and increased productivity across the organization.
In this post, we explore how Principal used QnABot paired with Amazon Q Business and Amazon Bedrock to create Principal AI Generative Experience: a user-friendly, secure internal chatbot for faster access to information.
QnABot is a multilanguage, multichannel conversational interface (chatbot) that responds to customers’ questions, answers, and feedback. It allows companies to deploy a fully functional chatbot integrated with generative AI offerings from Amazon, including Amazon Bedrock, Amazon Q Business, and intelligent search services, with natural language understanding (NLU) such as Amazon OpenSearch Service and Amazon Bedrock Knowledge Bases. With QnABot, companies have the flexibility to tier questions and answers based on need, from static FAQs to generating answers on the fly based on documents, webpages, indexed data, operational manuals, and more.
Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
Principal team members need insights from vast amounts of unstructured data to serve their customers. This data includes manuals, communications, documents, and other content across various systems like SharePoint, OneNote, and the company’s intranet. The information exists in various formats such as Word documents, ASPX pages, PDFs, Excel spreadsheets, and PowerPoint presentations that were previously difficult to systematically search and analyze. Principal sought to develop natural language processing (NLP) and question-answering capabilities to accurately query and summarize this unstructured data at scale. This solution would allow for greater understanding of a wide range of employee questions by searching internal documentation for responses and suggesting answers—all through a user-friendly interface. The solution had to adhere to compliance, privacy, and ethics regulations and brand standards and use existing compliance-approved responses without additional summarization. It was important for Principal to maintain fine-grained access controls and make sure all data and sources remained secure within its environment.
The chatbot solution deployed by Principal had to address two use cases. The first use case, treated as a proof of concept, was to respond to customers’ request for proposal (RFP) inquiries. This first use case was chosen because the RFP process relies on reviewing multiple types of information to generate an accurate response based on the most up-to-date information, which can be time-consuming.
The second use case applied to Principal employees in charge of responding to customer inquiries using a vast well of SharePoint data. The extensive amount of data employees must search to find appropriate answers for customers made it difficult and time-consuming to navigate. It is estimated these employees collectively spent hundreds of hours each year searching for information. As the volume and complexity of customer requests grows, without a solution to enhance search capabilities, costs were projected to significantly rise.
Principal saw an opportunity for an internal generic AI assistant to allow employees to use AI in their daily work without risking exposure of sensitive information through any unapproved or unregulated external AI vendors.
Principal began its development of an AI assistant by using the core question-answering capabilities in QnABot. Within QnABot, company subject matter experts authored hard-coded questions and answers using the QnABot editor. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.
Initially, Principal relied on the built-in capabilities of QnABot, using Anthropic’s Claude on Amazon Bedrock for information summarization and retrieval. Upon the release of Amazon Q Business in preview, Principal integrated QnABot with Amazon Q Business to take advantage of its advanced response aggregation algorithms and more complete AI assistant features. Integration enhanced the solution by providing a more human-like interaction for end-users.
Principal implemented several measures to improve the security, governance, and performance of its conversational AI platform. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls. This allowed fine-tuned management of user access to content and systems. Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses.
Usability and continual improvement were top priorities, and Principal enhanced the standard user feedback from QnABot to gain input from end-users on answer accuracy, outdated content, and relevance. This input made it straightforward for administrators and developers to identify and improve answer relevancy. Custom monitoring dashboards in Amazon OpenSearch Service provided real-time visibility into platform performance. Additional integrations with services like Amazon Data Firehose, AWS Glue, and Amazon Athena allowed for historical reporting, user activity analytics, and sentiment trends over time through Amazon QuickSight.
Adherence to responsible and ethical AI practices were a priority for Principal. The Principal AI Enablement team, which was building the generative AI experience, consulted with governance and security teams to make sure security and data privacy standards were met. Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features.
The initial proof of concept was deployed in a preproduction environment within 3 months. The first data source connected was an Amazon Simple Storage Service (Amazon S3) bucket, where a 100-page RFP manual was uploaded for natural language querying by users. The data source allowed accurate results to be returned based on indexed content.
The first large-scale use case directly interfaced with SharePoint data, indexing over 8,000 pages. The Principal team partnered with Amazon Q Business data connector developers to implement improvements to the SharePoint connector. Improvements included the ability to index pages in SharePoint lists and add data security features. The use case was piloted with 10 users during 1 month, while working to onboard an additional 300 users over the next 3 months.
During the initial pilot, the Principal AI Enablement team worked with business users to gather feedback. The first round of testers needed more training on fine-tuning the prompts to improve returned results. The enablement team took this feedback and partnered with training and development teams to design learning plans to help new users more quickly gain proficiency with the AI assistant. The goal was to onboard future users faster through improved guidance on how to properly frame questions for the assistant and additional coaching resources for those who needed more guidance to learn the system.
Some users lacked access to corporate data, but they used the platform as a generative AI chatbot to securely attach internal-use documentation (also called initial generic entitlement) and query it in real time or to ask questions of the model’s foundational knowledge without risk of data leaving the tenant. Queries from users were also analyzed to identify beneficial future features to implement.
The initial proof of concept was highly successful in driving efficiencies for users. It achieved an estimated 50% reduction in time required for users to respond to client inquiries and requests for proposals. This reduction in time stemmed from the platform’s ability to search for and summarize the data needed to quickly and accurately respond to inquiries. This early success demonstrated the solution’s effectiveness, generating excitement within the organization to broaden use cases.
The initial generic entitlement option allowed users to attach files to their chat sessions and dynamically query content. This option improved the overall user experience, as it enabled users to securely interact with internal documentation in real-time.
Ajay Swamy, Dr. Nicki Susman, Joel Elscott, Austin Johnson, and Bob Strahan
15 NOV 2024
Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI.
Principal is a global financial company that improved access to enterprise data and increased productivity across the organization by launching an intelligent self-service solution rooted in generative AI. The company used QnABot paired with Amazon Q Business and Amazon Bedrock to create Principal AI Generative Experience, a user-friendly and secure internal chatbot for faster access to information. | 7 months ago | Amazon Web Services (AWS) | data:image/jpeg;base64,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 | 34 | machine learning workforce | 2025-06-17 14:03:31 | null |
KPMG AI | Workforce: Unlocking tech value through people | https://technologymagazine.com/articles/kpmg-ai-workforce-unlocking-technology-value-through-peop | KPMG is helping clients accelerate AI adoption to drive true return on investment. KPMG views AI transformation as both a people and a technological challenge. | KPMG AI | Workforce: Unlocking tech value through people
By Neil Perry
September 09, 2024
Unlocking technology value through people
How KPMG is guiding clients to turn AI investment into business value
As AI technology becomes increasingly prevalent, organisations are seeking ways to turn opportunities and use cases into tangible business value. Leveraging years of industry expertise and strong global alliances with technology partners like Microsoft, Google, and ServiceNow, KPMG is helping clients accelerate AI adoption to drive true return on investment.
KPMG views AI transformation as both a people and a technological challenge. Both aspects need to work in harmony to unlock the potential of the transformation.
“AI is the fastest adopted business technology that we’ve seen in history,” says Lucy Pringle, who leads Employee Experience for KPMG in the UK. “You can only really get the best value out of investment in technology, and specifically in generative AI technology, when you transform the people components of your organisation,” adds Lucy. “This is about breaking down years, or decades, of engrained working habits and reforming new, augmented ways of working”
KPMG's human-centred approach, known as ‘AI | Workforce”, aims to scope and drive AI-led transformation aligned to the greatest areas for opportunity to augment the workforce of each client. Their three-phased approach helps organisations move from answering the questions of “where should I start?” and “how quickly can I move?”, through to “how can I realise value most effectively?”. By deconstructing an organisation’s jobs, identifying their inherent tasks, and predicting genAI augmentation opportunities, KPMG can help clients to design and activate refreshed, genAI enabled jobs for the future.
The first phase is about identifying opportunities, where KPMG draws on a proprietary assessment tool to pinpoint high-value areas for AI to enhance efficiency, effectiveness, quality, compliance and employee experience. They are also supporting clients to build proof of concept tools to experiment with use cases and see what works in reality. The second phase is about supporting organisations to augment their workforce by providing the right tools and designing experiences that unlock the identified value, emphasising the importance of proper support for adoption and capability build. Finally, the third phase of work looks at helping organisations to reshape their workforces by deconstructing and reconstructing roles to optimise on areas of proven augmentation, and to best utilise their people’s skills and time where the human touch adds most value.
“The fundamental issues that AI helps clients to solve are around profitability, cost, productivity, customer experience, people experience…” explains Mark Williamson, who leads KPMG’s People Consulting business. “Enabling clients to grow is key, and how AI can enable that is fundamentally what this journey is about.”
With years of experience, KPMG has gathered key insights into how organisations should embark on their AI transformation journeys.
“An AI roadmap should be built on a principle around experimentation and willingness to pivot as you take learnings from what you do,” explains Lucy.
Other key learnings include recognising that AI transformation is as much about cultural change as technology, requiring significant investment in time and resources. Lucy also says organisations must build foundational AI literacy, focus on tailored adoption strategies linked to different roles in the organisation, and understand that not all investment decisions will be ‘right first time’ and organisations require a test-and-learn mindset.
Mark, meanwhile, highlights KPMG’s pragmatic approach to AI implementation: “What KPMG brings is a really pragmatic approach. It goes beyond the hype and explores the opportunities you have from an AI perspective. How do you prove the value that you’re going to get from that? How do you scale the solution?” | 9 months ago | Technology Magazine | data:image/jpeg;base64,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 | 35 | machine learning workforce | 2025-06-17 14:03:31 | null |
Building an Augmented-Connected Workforce | https://www.informationweek.com/machine-learning-ai/building-an-augmented-connected-workforce | AI and other advanced technologies are unleashing the augmented-connected workforce, enabling human-machine partnerships for new levels of... | Building an Augmented-Connected Workforce
AI and other advanced technologies are unleashing the augmented-connected workforce, enabling human-machine partnerships for new levels of business productivity.
John Edwards, Technology Journalist & Author
November 15, 2024
5 Min Read
AI and other advanced technologies are unleashing the augmented-connected workforce, enabling human-machine partnerships for new levels of business productivity. | 7 months ago | InformationWeek | data:image/jpeg;base64,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 | 36 | machine learning workforce | 2025-06-17 14:03:31 | null |
The Rise of the Augmented Workforce: How AI Is Changing the Way We Work | https://hackernoon.com/the-rise-of-the-augmented-workforce-how-ai-is-changing-the-way-we-work | Artificial intelligence has the potential to reshape the typical workday in countless industries. Could it be as impactful as robotics and... | The Rise of the Augmented Workforce: How AI Is Changing the Way We Work
by Devin Partida
August 16th, 2024
Artificial intelligence has the potential to reshape the typical workday in countless industries. Could it be as impactful as robotics and the internet have been? More importantly, how is it going to change the way people work?
The Augmented Workforce Is on Its Way
AI is automating, accelerating, and enhancing tasks, which is changing the way people work. Since this versatile technology can augment everything from physical duties to decision-making processes, there’s virtually no industry where it doesn’t have some use. Business leaders have caught on to that fact, which is why more are leveraging it.
AI’s integration into various workplace environments is picking up. In a few years, most businesses will likely use it. After all, experts predict its market size will reach $826.7 billion by 2030, up from $184 billion in 2024, achieving an uncommonly high compound annual growth rate of 28.46%.
You may assume augmenting the workforce with AI is a tall order, but it’s already happening. In fact, over half of businesses were using this tech for at least one purpose in 2021. As it advances, more use cases will probably pop up, leading to a higher adoption rate. So far, it’s demonstrated it can improve productivity, enhance decision-making, and lower costs.
A machine learning (ML) model can work around the clock — it doesn’t need breaks, sick days, or time off — and simultaneously help dozens of employees. More importantly, it’s autonomous, so it doesn’t need to be babysat. It can reduce human error and enhance efficiency by handling a workplace’s repetitive daily duties.
Examples of an AI Augmented Workforce
AI can power everything from physical robots to facial recognition tech, so there are countless ways it can augment the workforce in various industries.
Sourcing and Hiring
AI can analyze thousands of resumes or conduct dozens of interviews simultaneously. Human resources teams could even use it to find specific people. For example, those looking to qualify for the Work Opportunity Tax Credit — which offers up to $9,600 per certified employee — could use their ML model to seek out veterans or ex-felons.
Customer Service
Unlike a standard rule-based conversation engine, an AI-powered customer service chatbot can adapt to any question, mood, or scenario. Support departments can use it to collect information while they handle other cases, which streamlines the process — and helps keep customers happy while they wait on hold.
Invoice Management
AI-driven robot process automation can handle complex and meticulous tasks. Administrative staff can use it to review bills for accuracy, pay vendors, generate invoices in real-time, and keep payment records, freeing them up for more complicated responsibilities.
Quality Control
Computer vision technology is a type of AI that lets computers see and interpret their surroundings. Manufacturers can use it in quality control to automatically check assembly and production line products for defects in real-time. The software can immediately flag issues like dents or missing parts.
The Implications of AI Augmentation
Transitioning from the 9-to-5 standard left over from the industrialization age is going to be a massive shift. Most employees must upskill or reskill to keep up with increasingly capable AI systems. Some experts claim those working in lower-wage professions are 14 times more likely to need to change jobs than those in higher-wage positions.
Fortunately, most people are willing to upskill or reskill. According to the U.S. Chamber of Commerce, 68% of working adults are willing to retrain under any circumstances, and another 28% are willing to retrain if required.
The benefits of doing so are already visible in many jobs. Research shows college graduates with AI skills received more job interviews and were offered higher pay than those without such skills. Early adopters could gain competitive advantages.
However, retraining may be complicated. While an estimated 42% of business tasks will be automated by 2027 — and about 60% of workers will need to upskill or reskill before then — only 50% have enough opportunities to do so. The implications of insufficient training could have a massive ripple effect on the job market.
Of course, this trend will likely only continue if people don’t feel threatened by AI augmenting the workforce. Much like with robots taking over jobs, people may begin to feel resentful. Since most businesses will use this tech to supplement work, they need employee buy-in. | 10 months ago | HackerNoon | data:image/jpeg;base64,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 | 38 | machine learning workforce | 2025-06-17 14:03:31 | null |
How JPMorgan Chase is preparing the workforce for the future of AI | https://www.jpmorganchase.com/newsroom/stories/how-jpmc-is-preparing-workforce-for-ai | We are focused on upskilling our workforce and believe there's an opportunity to upskill San Francisco's local workforce as well. | How JPMorgan Chase is preparing the workforce for the future of AI
August 13, 2024
By John China , Co-Head of Innovation Economy for Middle Market Banking & Specialized Industries, JPMorgan Chase
In his 2023 Annual Letter to Shareholders, JPMorgan Chase Chairman and CEO Jamie Dimon predicted AI’s impact “will be extraordinary and possibly as transformational as some of the major technological inventions of the past several hundred years.”
Here in the San Francisco Bay Area, this transformation is even more pronounced. Home to 20 of the best funded AI companies in the country, we are at the center of this technological transformation. We are focused on upskilling our workforce and believe there’s an opportunity to upskill San Francisco’s local workforce as well.
The city is once again a main character in tech’s next big story. We’ve seen that by investing in and supporting the local workforce, we can ensure local residents obtain the skills and experience necessary to succeed in the labor market and contribute to a stronger more inclusive economy.
For us, we’ve seen remarkable opportunity in other great cities. As a result, we’ve worked with municipalities over the years addressing local workforce needs in the face of profound transformation by developing long-term solutions that offer skills, training, and stability.
For example, in Baltimore, we partnered with its mayor to source and hire call center specialists and leaders to help our customers manage their financial accounts. These full-time, home-based roles provide local residents with opportunities for career growth, a steady income, and health and wellness benefits. In Greater Washington, D.C., we committed $5.3 million to the Talent Ready Initiative to strengthen the region’s skilled workforce to help meet the growing demand for IT talent in the nation’s capital. So far, this program has supported over 25,000 D.C. area high school students in career pathways. And in Detroit, to help combat the high rate of unemployment, we collaborated with local government, community organizations, and private sector partners to create Detroit at Work – a single point of entry into the workforce system, intentionally designed for the realities of the city’s labor market.
And while every city’s strengths and challenges are different, we have identified three focus areas we consistently find provide meaningful impact and a path forward to advancing opportunity and the local workforce, in other markets, as well as in San Francisco.
1. **Expand access to apprenticeships:** In less than a decade, one-third of the United States workforce will need to learn new skills and find work in new occupations, including in AI. To combat the skills imbalance, we provide youth and adult apprenticeships in various areas such as technology, business operations, and finance. Additionally, we supported federal legislation, including the National Apprenticeship Act to help modernize and expand apprenticeships into growth industries and expand access for disadvantaged and underrepresented individuals, including students and workers.
2. **Reduce barriers and develop skills:** Our $350 million global workforce investment has enabled us to pilot new education and training programs, improve collaboration among employers and educational institutions, and publicize actionable labor market data and research. As part of this commitment, we provided $1.5 million in philanthropic capital to the Bay Area’s Tech Equity Collective to gather quantitative and qualitative insights that led to greater diversity and equity in the tech sector.
3. **Sustain a diverse and inclusive workforce:** Diverse views and ideas allow us to constantly innovate, maintain competitiveness, avoid the status quo, better perform, and increase profitability. We invest $300 million in employee training each year and through numerous programs including those for early career professionals, our Military Pathways Development Program, and our Office of Disability Inclusion. We empower our employees with opportunities and expanded experiences.
The business community must be ready to capitalize on the insatiable opportunities presented by AI. But it also must be ready to support local workforces so that they too can meet these challenges. At JPMorgan Chase, we’ve built out a local team of more than 2,000 AI/machine learning (ML) experts and data scientists to help us leverage the power of this technology. In every city we do business in, we seek to find ways to create sustainable economic impact and we see an incredible opportunity to leverage our expertise and experience in San Francisco, to help our public and private sector partners prepare the workforce alongside this incredible tech revolution. | 10 months ago | JPMorganChase | data:image/jpeg;base64,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 | 39 | machine learning workforce | 2025-06-17 14:03:31 | null |
AI in workforce management | https://www.hindustantimes.com/ht-insight/future-tech/ai-in-workforce-management-101740924555505.html | Artificial Intelligence (AI) is transforming workforce management, revolutionising business operations and employee engagement. | # AI in workforce management
By RK Rangan
Mar 02, 2025 07:43 PM IST
Artificial Intelligence (AI) is transforming workforce management, revolutionising business operations and employee engagement. By leveraging predictive analytics, natural language processing, and machine learning, organisations can optimise decision-making and personalise employee experiences. These advancements enhance productivity, foster collaboration, and create a more agile, future-ready workforce.
AI optimises decision-making, increases efficiency, and enhances employee satisfaction. Studies show that AI can boost productivity by up to 40% in certain sectors. In India, Global Capability Centres (GCCs) are leveraging AI-driven insights for smarter resource planning, workforce agility, and streamlined global operations.
AI improves workforce productivity through capacity planning, automation, and hiring optimisation. Predictive analytics ensures efficient staffing, reducing downtime. AI-driven automation cuts routine work by up to 60%, allowing employees to focus on strategic tasks. AI-powered hiring tools, like chatbots, accelerate recruitment, improving efficiency and candidate engagement in companies like Wipro.
AI and machine learning create personalised learning experiences, adapting to individual skills and career growth needs. AI-powered training solutions improve employee retention and job satisfaction. Beyond learning, AI fosters a healthier work environment through real-time feedback, sentiment analysis, and fair shift allocations, enhancing work-life balance and morale.
AI also strengthens teamwork by analysing work patterns and connecting employees based on skills and expertise, promoting knowledge sharing and collaboration. Businesses integrating AI into workforce management will foster more engaged, motivated, and high-performing teams.
Some barriers to AI integration are as follows:
· Bridging skill gaps: Organisations invest in AI-driven upskilling programmes, ensuring a highly adaptable, tech-savvy workforce.
· Accepting change: Continuous learning and reskilling initiatives help employees embrace AI’s potential in streamlining tasks and fostering innovation.
· Data security: Companies enhance compliance and safeguard employee information through advanced protection measures and ethical AI practices.
· Mitigating bias and data misuse: AI policies and guidelines help prevent bias and ensure ethical implementation.
· Infrastructure challenges: Many GCCs require significant investment in system upgrades to seamlessly integrate AI solutions.
India’s IT-enabled services (ITeS) sector, particularly GCCs, is undergoing a transformation through automation, predictive analytics, and AI-driven recruitment. These innovations enhance efficiency while boosting employee engagement with personalised learning and real-time feedback. To fully harness AI’s benefits, businesses must address skill shortages, change resistance, and data security concerns. As India strengthens its position as a global GCC hub, embracing AI will be key to fostering innovation, accelerating growth, and building a more agile, future-ready workforce. | 3 months ago | Hindustan Times | data:image/jpeg;base64,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 | 41 | machine learning workforce | 2025-06-17 14:03:31 | null |
Gartner Predicts 80% of AI Workforce Will Need Upskilling by 2027 | https://aibusiness.com/generative-ai/gartner-predicts-80-of-ai-workforce-will-need-upskilling-by-2027 | Generative AI will spawn new roles in software engineering and operations through 2027 that will require 80% of the workforce to upskill, according to a new... | Gartner Predicts 80% of AI Workforce Will Need Upskilling by 2027
Heidi Vella, Contributing Writer
October 9, 2024
Generative AI will spawn new roles in software engineering and operations through 2027 that will require 80% of the workforce to upskill, according to a new Gartner report.
Essential upskilling will include retrieval-augmented generation (RAG) skills, which is a technique for enhancing the accuracy and reliability of generative AI models. As well as developing a range of highly skilled AI engineers who can meet the rapidly increasing demand for AI-empowered software.
Contrary to “bold” claims and speculation that AI could reduce demand for human engineers, or even supplant them entirely, it will instead transform the future role of software engineers, said Philip Walsh, Sr Principal Analyst at the consultancy.
“Human expertise and creativity will always be essential to delivering complex, innovative software,” he said.
He added that the “AI engineer will possess a unique combination of skills in software engineering, data science and AI/machine learning, skills that are sought after.”
Gartner analysts found that in the short-term, AI tools will generate modest productivity increases by augmenting existing developer work patterns and tasks. This will be most significant for senior developers in organizations with mature engineering practices.
In the medium term, the emergence of AI agents will push boundaries, transform developer work patterns by enabling them to fully automate and offload more tasks.
This will mark the emergence of AI-native software engineering when most code will be AI-generated rather than human-authored.
“In this AI-native era software engineers will adopt an ‘AI-first’ mindset and will be primarily focused on steering AI agents toward the most relevant context and constraints for a given task,” said Walsh.
This will make natural-language prompt engineering and RAG skills essential for software engineers.
But in the long term, advances in AI will break boundaries and will mark the rise of so-called ‘AI-native’ software engineers who can ‘speak the language’ and effectively direct AI to carry out specialized coding, analytics, or data science tasks autonomously. | 8 months ago | AI Business | data:image/jpeg;base64,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 | 42 | machine learning workforce | 2025-06-17 14:03:31 | null |
Automation is Everywhere for Small Businesses | https://www.businessnewsdaily.com/9835-automation-tech-workforce.html | Automation is about implementing a system to complete repetitive and easily replicated tasks without the need for human labor. | # Workplace Automation Is Everywhere, and It’s Not Just About Robots
Automation is a broad concept that applies to modern workplaces in more ways than the obvious. How is your workplace already automated?
Written by: Adam Uzialko, Senior Editor
Updated Sep 12, 2024
There was a time when the term “automation” was synonymous with advanced manufacturing plants full of robotics. While replacing human labor with machine labor is a prime example of workplace automation, it’s far from the only example. Automation is present in modern businesses of all sizes – including subtle features in common software applications, and more obvious implementations like self-driving vehicles or autonomous robots.
## What is workplace automation?
Automation is about implementing a system to complete repetitive and easily replicated tasks without the need for human labor.
## Examples of common workplace automation
These are some of the ways in which workplace automation is already being adopted by forward-thinking companies:
### 1. Email marketing
Many small business owners already use at least one form of automation: email marketing.
### 2. Talent acquisition and hiring
Machine learning automation is making inroads in talent acquisition and employee recruitment.
### 3. Customer service
Customer service departments are also getting an automation makeover with the introduction of tools like chatbots and automated text message marketing solutions.
### 4. Sales
An algorithm will never be able to take a client out for coffee or negotiate a deal as effectively as a trained salesperson. Yet automation can free up time for these human-centric interactions.
### 5. Human resources
Given the predictable and repetitive nature of HR duties – like payroll and timesheets – digitization can transform the efficiency of a department.
### 6. Automatic for the people
Opportunities to automate common workplace processes are everywhere, which is why automation is becoming a common element of every business.
## Machine learning as a driver of more sophisticated automation
Machine learning and artificial intelligence enable new forms of “smart” automation. As the software learns, the more adaptable it becomes.
## Improving automation for better human experiences
To make interacting with these tools more natural and intuitive, companies will begin tailoring AI and automated technologies for a more organic, human experience. | 9 months ago | Business News Daily | data:image/jpeg;base64,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 | 43 | machine learning workforce | 2025-06-17 14:03:31 | null |
How Apexon’s AI redefines workforce resilience | https://www.hrkatha.com/features/how-apexons-ai-redefines-workforce-resilience/ | Apexon's proprietary AI goes beyond merely identifying skills that are losing relevance. It actively designs tailored career paths, suggests upskilling... | How Apexon’s AI redefines workforce resilience
The firm’s AI-powered system turns skill redundancy into a roadmap for growth
By Radhika Sharma | HRKatha
November 28, 2024
4 Mins Read
16386 Views
In a world where skills rapidly become obsolete, Apexon, a Goldman Sachs-backed technology services firm, is rewriting the narrative around redundancy. By employing a cutting-edge AI system, the company transforms what could be a setback into a springboard for growth, combining data-driven insights with human-centred strategies.
“Skill redundancy isn’t just an operational issue; it’s deeply personal for employees,” says Anand Kabra, chief people and transformation officer, Apexon. With this in mind, Apexon’s proprietary AI goes beyond merely identifying skills that are losing relevance. It actively designs tailored career paths, suggests upskilling opportunities, and fosters meaningful engagement, ensuring employees and the organisation grow together.
Think of Apexon’s AI system as a career strategist for each employee. Much like how Netflix recommends shows based on viewing habits, the system analyses skillsets, market demands, and growth potential to suggest actionable steps for staying relevant. For instance, a Java developer might be advised to transition into roles involving AI and machine learning, with recommendations to learn Python or delve into data analytics.
“Skill redundancy isn’t just an operational issue; it’s deeply personal for employees. With this in mind, Apexon’s proprietary AI goes beyond merely identifying skills that are losing relevance. It actively designs tailored career paths, suggests upskilling opportunities, and fosters meaningful engagement, ensuring employees and the organisation grow together.”
— Anand Kabra, chief people and transformation officer, Apexon
What sets this system apart is its precision. Using 14–15 data variables—including current skills, market trends, and emerging client needs—it generates personalised growth paths.
Employees identified as being in at-risk roles receive curated learning plans, including specific certifications or upskilling modules, and are encouraged to engage in career discussions with managers or HR business partners.
“The system doesn’t just highlight gaps,” says Kabra. “It proactively nudges employees, suggesting steps they can take to remain indispensable.”
Beyond career planning, Apexon’s AI is redefining employee engagement. Through an intuitive interface, employees provide regular feedback by selecting simple mood indicators—happy, neutral, or sad. When negative responses are flagged, the system delves into underlying causes, analysing variables such as recent project changes, workload transitions, or prolonged bench periods.
In one notable instance, a team managing a strategic client account faced challenges ranging from an abusive customer to long hours and inadequate support. The AI system quickly identified the problem, enabling leadership to address skill gaps, reallocate resources, and renegotiate client terms. Left unchecked, such issues might have led to attrition or disengagement, but the AI intervention helped pre-empt a crisis.
Apexon’s system integrates with a learning-management platform, making training and development both targeted and actionable. Employees receive timely nudges to explore courses and certifications, while managers ensure learning remains a collaborative effort.
Rather than overwhelming employees with raw analytics, the system focuses on actionable insights. Competency leads and delivery heads work closely with employees to implement learning pathways, ensuring they feel motivated and supported throughout the process.
“While the system operates with about 70 per cent accuracy, human involvement is crucial to interpret and act on the insights effectively,” notes Kabra.
Despite being a relatively new initiative, the AI system is already delivering measurable results. Apexon tracks critical metrics, such as ensuring that at least 15 per cent of employees are upskilled annually in high-demand areas like AI and machine learning. These efforts not only empower employees but also drive business growth.
Enhanced skills and performance have allowed the company to increase billing rates for certain employees by 10–15 per cent. Additionally, Apexon has improved its Revenue by Cost (R by C) metric—a key measure of efficiency—by 5–6 per cent.
“This isn’t about pointing fingers at what’s wrong,” Kabra explains. “It’s about showing employees clear pathways to grow and thrive.”
Apexon’s system reflects a collaborative vision where technology amplifies human effort rather than replacing it. While the AI currently operates with 70 per cent accuracy, the company aims to push this figure closer to 80 per cent, further refining its predictive capabilities.
“It’s about navigating skill redundancy with employees, not for them,” Kabra emphasises. By empowering its workforce to adapt and grow, Apexon is setting a standard for how AI can transform the future of work—not by replacing human effort, but by enhancing it. | 6 months ago | HR Katha | data:image/jpeg;base64,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 | 44 | machine learning workforce | 2025-06-17 14:03:31 | null |
How AI will affect future workforce: Key considerations for shipping | https://safety4sea.com/cm-how-ai-will-affect-future-workforce-key-considerations-for-shipping/ | In today's rapid world, the convergence of artificial intelligence (AI), reskilling initiatives, and innovative practices is reshaping... | n today’s rapid world, the convergence of artificial intelligence (AI), reskilling initiatives, and innovative practices is reshaping industries, including shipping, not only enhancing productivity but also promoting inclusivity in the workforce.
Artificial intelligence has emerged as a powerful enabler of reskilling and upskilling programs, revolutionizing the way organizations prepare their workforce for the future. AI-driven platforms can assess individual skill gaps, identify learning patterns, and personalize training content to maximize effectiveness. By leveraging AI, companies can optimize reskilling efforts and ensure that employees acquire the relevant competencies needed to adapt to rapidly evolving job roles.
But if we add automation and the specter of gen AI to the mix, what effect do we project that’ll have on the labor market?
In this question, McKinsey’s senior partner Kweilin Ellingrud attempted to respond on a recent podcast, arguing that AI alone could automate almost 10 percent of tasks in the US economy. That affects all spectrums of jobs. ‘’It is much more concentrated on lower-wage jobs, which are those earning less than $38,000. In fact, if you’re in one of those jobs, you are 14 times more likely to lose your job or need to transition to another occupation than those with wages in the higher range, above $58,000, for example.’’
RelatedNews
Allianz: Key risks and considerations surrounding the shadow fleet
New dataset aligned with IMO Compendium post-FAL 49
AI and the maritime industry
Artificial Intelligence (AI) is revolutionizing the shipping industry, offering increased efficiency, safety, and sustainability, mentions a new report by KPMG which analyzes the trends and challenges in today’s shipping industry. AI’s ability to learn and adapt makes it a versatile tool, capable of transforming operations from strategic decision-making to environmental conservation.
Applications of AI in shipping involve:
Automation of routine tasks: AI-powered systems can automate routine tasks such as navigation, route planning, and cargo handling.
Enhanced safety: AI is being used in behavior-based safety systems to analyze CCTV footage and identify crucial safety and security events in real time. This approach enhances the understanding and assessment of the safety culture on board, facilitating the sharing of insights and best practice with the crew and fleet.
Augmented decision making: AI systems can assist maritime professionals in making informed decisions by providing real-time data analytics, predictive maintenance insights, and risk assessments.
Remote operations and unmanned vessels: Machine learning algorithms can generate moves of the automated machinery, enabling partial autonomy of the units like ships or ports.
Voyage planning and route forecasting: AI is being used to optimize routes based on real-time data, enabling companies to react to unexpected events and choose the most time-effective alternatives.
Energy efficiency: AI is also playing a crucial role in optimizing fuel consumption and reducing emissions. AI solutions facilitate the ship’s carbon print reduction, such as route forecasting involving fuel consumption factors.
Fire detection: AI-based systems analyze real-time video feeds from onboard cameras, enabling them to detect potential fire hazards even before smoke or flames become visible. These systems can learn from previous incidents, enhancing their accuracy over time and providing greater protection for the ship and its crew.
Streamline back-office operations: AI is also being used to streamline back-office operations with Natural Language Processing (NLP)
KPMG notes that the integration of AI into shipping presents a complex array of benefits and challenges that need to be carefully navigated. In essence, the adoption of AI in the maritime industry will raise regulatory questions around safety standards, liability in case of accidents involving autonomous vessels, and data privacy concerns.
AI technologies: Friend or Foe?
The swift expansion of AI has the power to transform the employment landscape, underscoring the importance of embracing the associated opportunities. McKinsey’s Kweilin Ellingrud noted that the impact of gen AI alone could automate almost 10 percent of tasks in the US economy. ‘’It also does affect the jobs on the higher end of the wage range. Writers, creatives, lawyers, consultants, everybody is going to need to work differently, because parts of our jobs will be affected by gen AI. For some, it will be a more fundamental elimination of the job. For others, it will more remake how we spend our time.’’
With regards to the maritime industry, the Maritime Institute of Technology and Graduate Studies emphasizes that with the growing prevalence of AI in maritime operations, many crew members are anxious about potential job displacement as computers become more capable. However, there’s reassurance for crew members.
While some traditional maritime jobs may be displaced by AI and automation, new roles will also emerge to support and maintain AI systems, as well as to manage the integration of these technologies into maritime operations. For example, as AI becomes more prevalent in the maritime industry, there will be a growing demand for workers with skills in data analysis, programming, cybersecurity, and AI system maintenance.
Overall, AI and machine learning can streamline tasks, but they have limitations in fully automating all functions. The unique skills and capabilities that individuals bring to maritime roles are irreplaceable by machines, underscoring the indispensable value of human presence on ships. Through reskilling and upskilling initiatives, organizations can assist employees in staying current and valuable within their field.
| 10 months ago | safety4sea | data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBwgHBgkIBwgKCgkLDRYPDQwMDRsUFRAWIB0iIiAdHx8kKDQsJCYxJx8fLT0tMTU3Ojo6Iys/RD84QzQ5OjcBCgoKDQwNGg8PGjclHyU3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3Nzc3N//AABEIAEIAeAMBIgACEQEDEQH/xAAbAAACAwEBAQAAAAAAAAAAAAADBAAFBgIBB//EADUQAAEDAgQDBQcDBQEAAAAAAAEAAgMEEQUhMUESgZEGE1FSoSIyYWJxsfAUFUIzcqLB0Qf/xAAZAQEBAAMBAAAAAAAAAAAAAAADBAECBQD/xAAiEQADAAICAwEAAwEAAAAAAAAAAQIDEQQxEiFBURNh0QX/2gAMAwEAAhEDEQA/APkLQERrRtZLsJRmX8F0p0/hK/QZoGhRmNvoENgO4R2Ap5kKqCxsTUUdzohRZlWVLHchVRJJks7gpr7KwhoSRomqClDrZLSUOG8QGSSqUkvumZr9vdbQ9EtPREbf4rf/ALT7PuqrrsO4QclrOZM85aMJPBwnbokZW23HRaeuprXtdUdRGQTe/RN2jM1oqpGk/wAh0QHMG7inpB8R0S0jrbt6IalIrmgBawbnoouJJD5mqInaQyQFjYxoQighat/YJxzpsYhcNhJFb1BKXf2Cxxv9J9FMPkmIPqAop5eF/SmuPk/DPBHjVkex/aKMm+FyPA3jkY/0Drr2m7NY9I4tbg2IXHmpntHUgKiMsV0wLx0vgCFoJVpRtsQrnDOwtY1gnxypiw6AatJD5DyBsOZ5K0GOdmsAAjwWjbWVGjp6mz/vkOQCzXOxR6n2/wCv9BfEuvdekcYQwPc0DM+AzW7wjD5CBxQvH1aQsph3azEasO7qSCmjvYtp4gz7LSYZiMht3s73/wBzkWTJkyLaWg4jHFab2ad+GtEN7LNYxROBIEbidchdXZxa0dg5U1dirAXGRjXAtIy10+KDCsiY2Z42tIwuKx8JIIsfiFmawZmy+iSEVbeEyOZE/iLQy7X665EjIkeG3OhxfDJKi1XIC6M+y67A2S4AvqQCbm3gMgupjzLpkPh+GHkY4nQpWSLxI6K+rcLk72X9NdrGusIpnNEoHxsbeHhqEjNhlQynknlEbWx8Nw6dgPtXtlf4FLVQ0PCfRTPjYPAqJt8R4I3CanHecQaDxEm30HIKKeqjZQlRXNxzER7s7gmI+0WMNFm1bwqlsrNgiNk8LDkuGuNs6DytF5T9o8bjkEjK191oIv8A0LHBAI3the7zWIJWKZI7zgckeO51IPNPPBmvoT5NI0lb2vxGvhMFWxjo3a2vdLQ0uFVUYtiE9LIfebLFxN6hIQjx+6cieG7eipj/AJzXVaJ75P6tmjwbDmwyhtJiVLVOIsGRuIc7kVf01f3Z4TcEZEHZYaJ7L34Bf6KwirHalxurMPHqF409kOa5p7laZtTins+8k31ElXKIYiOJ17cTgBlnqVnv1ptqhmukjeHxvLXjQjp+fl1WLXQW99murK58tD+knonuY2FzshwbCxaT8ba/Qbk0cwqauGQvjjIc0WMZLXm19eM2BvpYWzNlTVWKVkwcH1MlnagHhHoq2SpnubTyi5ufbOq1nD4i72X0lBVwMhfA2maTDwSGUvyN73vpe1tttEE4XTPYWvPEH2b3rmukdexzAsAczvnms5WVM1S8PqZXzOa0MDpHFxAGgzST3AOBbk4aELS5eux4Rp4qRscTWSyRSOjs5zjABYiwsLDYDmosqa6rjBaypmDfL3ht0UUrT32OkymB+YIgd8/ohi/lC7aT8oUiZUw8b7fy9E1HJ8zeiTa4+LUaNx8zVTjoGpHo5AbZtKciDnbDkUlC8D+TU5HLvdq6GP2vZJaG42OTDS1o9pyQNQLajkvO/J0CbySBcNliZwNEJ0uxSXeeJUEix5Iz/GMukJzul3vC4c/zZIL5L7o7vQswSU3SsmqI56A991JdjzIF5UUdovFO6GSK0Fdt1UUU6GYdoTEYGWQUUTR2FQ4wC2i7Z/xRRWyT12ds1Xp3XqiQ0O26j6rw5NFvAKKLb4Y+gifzmhv/ADqvVEFioC7/AGUN+qiinoRAnKKKITc//9k= | 45 | machine learning workforce | 2025-06-17 14:03:31 | null |
The future of work: Integrating AI into workforce development strategies | https://www.expresscomputer.in/guest-blogs/the-future-of-work-integrating-ai-into-workforce-development-strategies/117084/ | By Anurag Gupta, Co founder, STEMROBO Technologies. As artificial intelligence (AI) continues to transform industries and reshape the job... | The future of work: Integrating AI into workforce development strategies
By Anurag Gupta, Co founder, STEMROBO Technologies
On Oct 9, 2024
As artificial intelligence (AI) continues to transform industries and reshape the job market, integrating AI into workforce development strategies is not only necessary but critical for the future of work. AI is influencing various sectors, from healthcare and manufacturing to finance and education, creating new job opportunities and eliminating repetitive tasks. To remain competitive, nations and organisations must rethink how they approach workforce development, preparing employees and job seekers for a landscape where AI-driven technologies play an increasingly prominent role.
This article explores how AI can be seamlessly integrated into workforce development strategies, addressing emerging job market needs, enhancing job skills, and supporting career growth. Additionally, it highlights the steps organisations and policymakers must take to create a workforce ready for the AI revolution.
The growing influence of AI on the job market
AI is no longer a distant technological trend. A report by McKinsey Global Institute estimates that by 2030, up to 375 million workers worldwide may need to transition to new jobs as AI and automation replace routine tasks. In India, AI could contribute $957 billion to the economy by 2035, according to a study by Accenture, underscoring the importance of preparing the workforce for AI's transformative impact.
AI is automating mundane tasks, such as data entry, scheduling, and customer support, allowing employees to focus on higher-value tasks that require creativity, problem- solving, and emotional intelligence. While this is expected to boost productivity, it also brings a shift in the skills required in the workforce. Jobs that require technical AI knowledge and data literacy are on the rise. In fact, the demand for AI specialists has grown by 74% annually over the past four years, according to LinkedIn’s 2021 Jobs Report. Given this demand, a robust workforce development strategy centered on AI is imperative.
The need for AI-focused workforce development strategies
The evolving job market has underscored the need for workforce development strategies that prioritise AI-related skills. Companies and educational institutions are recognising the necessity of embedding AI into their training programs to ensure employees are not only equipped with technical expertise but also possess the ability to adapt to AI-driven changes in their respective fields.
AI will create jobs that currently don’t exist. A report from the World Economic Forum (WEF) indicates that by 2025, 85 million jobs may be displaced by AI and automation, but 97 million new roles could emerge that are more adapted to the new division of labor between humans, machines, and algorithms. This highlights a significant opportunity to create a workforce that is not just technically proficient but versatile enough to navigate a rapidly evolving AI landscape.
However, a major challenge is the current skills gap. For example, a report by NASSCOM revealed that 60-65% of Indian workers lack the necessary skills for jobs that will require expertise in AI, data analytics, and machine learning. This gap in technical skills, if left unaddressed, will hinder economic growth and create a workforce that struggles to stay relevant.
Key components of AI-focused workforce development
1. AI-centric education and training programs
Education and training are foundational to workforce development, particularly in the context of AI. Schools, universities, and vocational training centers must evolve their curricula to integrate AI concepts from an early stage. This includes AI programming, machine learning, data science, and algorithmic ethics, all of which are crucial for future workers.
For example, countries like Singapore have already begun integrating AI training at the K-12 level, introducing coding and data science classes to prepare students for AI-driven industries. In the corporate world, companies like Google, Microsoft, and IBM are offering online AI training programs that focus on upskilling workers. These training modules cover topics such as AI ethics, cloud computing, and machine learning, helping employees remain competitive in an AI-driven marketplace.
In India, the National Education Policy (NEP) 2020 emphasizes the need for incorporating coding and AI into the education system, aiming to create a future-ready workforce. Furthermore, initiatives such as PMKVY (Pradhan Mantri Kaushal Vikas Yojana) focus on upskilling workers in new-age technologies, including AI, to bridge the skills gap and boost employability.
2. Reskilling and upskilling for existing workforce
Reskilling is essential for workers whose jobs may be disrupted by AI and automation. Organizations must invest in reskilling their workforce, particularly for those in roles that are vulnerable to automation. This could involve training workers in new technical skills such as data science, AI programming, and cybersecurity, or helping them transition to roles that require human-centric skills like emotional intelligence, creativity, and complex problem-solving.
Tech giants like Amazon have implemented ambitious reskilling programs to address this need. Amazon’s Upskilling 2025 initiative aims to provide 100,000 employees with training in new technologies, including AI, machine learning, and cloud computing. The program’s goal is to transition employees into higher-paying roles that require advanced technical skills.
3. Collaboration between industry and educational institutions
Collaboration between industries and educational institutions is crucial for workforce development in the age of AI. The skills required in the workplace are evolving so rapidly that traditional education models alone are not enough to keep pace with these changes. Partnerships between schools and industry leaders allow for real-world application of AI technologies in learning environments, helping students acquire skills that are directly relevant to the job market.
In India, companies such as TCS and Infosys are collaborating with universities to offer industry-relevant AI training programs. These collaborations provide students with opportunities to work on AI projects, gaining practical experience and developing skills that will be in demand in the future. This form of learning ensures that students are not just theoretically proficient but also equipped with hands-on experience, ready to contribute to the AI-driven economy from day one. | 8 months ago | Express Computer | data:image/jpeg;base64,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 | 47 | machine learning workforce | 2025-06-17 14:03:31 | null |
AI development works better for everyone when its workforce is well looked after | https://theconversation.com/ai-development-works-better-for-everyone-when-its-workforce-is-well-looked-after-240079 | Studies have shown, for example, that remote working and better work-life balance often lead to increased productivity rather than hindering progress. | AI development works better for everyone when its workforce is well looked after
Published: November 13, 2024 12:16pm EST
Peter Bloom, University of Essex
A former CEO and executive chairman of Google, recently suggested that the tech giant’s apparent lag in AI development was due to the company prioritising employees’ personal wellbeing over progress. Eric Schmidt told an audience: “Google decided that work-life balance and going home early and working from home was more important than winning.”
Schmidt later retracted his statement, claiming he “misspoke”. Yet his comment reflects a common view in the tech industry – that progress is dependent on intensive work patterns and keeping a close eye on staff.
Companies such as Amazon have implemented controversial worker tracking systems. Others promote a culture of “overworking” as a necessary part of innovation.
But this mindset overlooks the crucial role that an engaged and happy workforce plays in creating beneficial technology. Studies have shown, for example, that remote working and better work-life balance often lead to increased productivity rather than hindering progress.
History also shows that empowering workers and fostering a democratic approach has accelerated technological breakthroughs. The open-source movement, where information is shared in software development, is a case in point. Wikipedia is another example – a success story built entirely on volunteer contributions and collective effort.
In AI too, there has been rapid progress with projects, which emphasise openness and collaboration, such as language models similar to ChatGPT known as BLOOM and GPT-J. This demonstrates that democratising access to AI tools and knowledge can accelerate progress.
Meanwhile, many of the ethical challenges in AI development – from algorithmic bias to privacy concerns – stem from rushed development cycles and a lack of diverse perspectives.
For instance, racial and gender biases in facial recognition systems reportedly emerged because development teams were working under pressure to deliver results quickly. The Cambridge Analytica scandal, which exposed the misuse of Facebook user data, illustrated the risks of prioritising growth and profit over privacy and social impact.
The drive for relentless productivity and market dominance has also led to the emergence of “digital sweatshops” – exploitative labour regimes associated with AI development.
These include content moderation “factories” where workers are exposed to traumatic material for long hours with minimal support. Or the data processing operations connected to machine learning where workers in low-wage countries perform repetitive tasks for little reward.
Companies such as Facebook, Google and Amazon have been criticised for outsourcing these crucial (but often overlooked) aspects of AI development to contractors with poor working conditions. And they highlight the human cost of rapid AI advancement, where the real motivation is often about corporate dominance and maximising shareholder value.
This model also leads to innovations that fail to address broader social and ecological challenges. The substantial carbon footprint associated with AI development shows the urgent necessity for more considered, sustainable methods.
But these are more likely to emerge from well-treated teams of people, who are granted the autonomy to explore and address the wider implications of their work. They will not come from rigid hierarchies focused solely on immediate financial returns.
Herein lies the false binary between worker power and technological advancement. The evidence suggests that when executives exert too much control, the development of socially beneficial technology is hindered. They simply won’t provide what empowered workers and open collaboration can bring to the table.
Worker-led initiatives have also been at the forefront of ethical technology development. For example, Google employees’ protest against the company’s involvement with Project Maven, a US military AI scheme, was a success. And Amazon workers have continued to push for the company to improve its environmental credentials.
Schmidt spoke of “winning” in the AI race. But what exactly is being won through techniques that prioritise corporate control and worker exploitation? Often the result is unethical technology developed under exploitative conditions – technology which serves narrow corporate interests rather than social needs.
But the future of AI and other emerging technologies should not be driven solely by market forces. Innovation does not require oppressive work conditions or excessive corporate control.
And technological progress and social progress are not mutually exclusive. In fact, they can be mutually strengthening. A truly successful AI industry should be one that produces innovative technologies in a way which empowers workers, deals with ethical considerations, and makes a positive contribution to society. | 7 months ago | The Conversation | data:image/jpeg;base64,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 | 48 | machine learning workforce | 2025-06-17 14:03:31 | null |
Inside AI-powered workforce planning | https://www.peoplemattersglobal.com/article/hr-technology/inside-ai-powered-workforce-planning-42345 | With the rise of AI and automation, businesses are under immense pressure to implement strategic workforce planning to thrive. | With the rise of AI and automation, businesses are under immense pressure to implement strategic workforce planning to thrive. As a result, there has been a rising demand for tech-capable talent across industries as organisations race to deploy AI.
The shift towards a tech-driven workplace seems to be changing the talent landscape as well. A 2023 McKinsey report found that 1 in 16 workers may need to transition to high-skill jobs such as science, technology, and engineering by 2030. That’s over 100 million workers leaving low-skill jobs such as production, office administration, and food service in less than a decade.
Also Read: Accelerating HR outcomes: How AI is powering measurable HR impact
The dynamic nature of the market is forcing companies to become more agile and flexible to changes. The need to adapt to current market conditions while anticipating the challenges of the future has led many organisations to adopt AI in workforce planning.
How can AI, at this stage, help you get ready for the future while solving today’s challenges?
Read More: The real value of relationships in the future of work
Strategic workforce planning with data-driven forecasts
The ability to anticipate and plan for future talent requirements has never been more crucial for businesses today. And AI is proving to be a reliable tool for transforming data into actionable forecasts and insights. AI-powered workforce forecasting leverages advanced algorithms and data analytics to provide organisations with unprecedented insights into the future of work.
By analysing historical data, market trends, and internal factors, AI can predict future workforce needs with remarkable accuracy. This enables businesses to proactively identify skill gaps and emerging skill requirements, allowing for strategic workforce planning and the development of targeted talent development initiatives.
Gone are the days of relying solely on intuition and historical trends. AI empowers organisations to make data-driven decisions that ensure their workforce remains agile and aligned with evolving business needs.
Read More: Up to 20% fail due to flawed data infrastructure
Moreover, AI facilitates scenario modelling and “what-if” analysis, enabling HR professionals to explore the potential impact of different strategic choices on the workforce.
Whether it's evaluating the effects of a new product launch, a merger or acquisition, or changes in the economic landscape, AI-powered workforce planning tools provide the foresight needed to navigate the complexities of the modern workplace.
In essence, AI-powered workforce forecasting transforms strategic workforce planning from a reactive process to a proactive one. By anticipating the future of work, organisations can build a resilient and adaptable workforce capable of thriving in the face of change.
Read More: AI productivity: Small changes, big impact
The power of AI-driven talent acquisition and retention
Beyond forecasting future talent requirements, AI is also revolutionising how organisations optimise their existing workforce to maximise productivity and efficiency. AI-powered tools streamline the entire recruitment process, from sourcing candidates to onboarding new hires.
By automating screening and shortlisting candidates, AI significantly reduces the time and resources spent on manual tasks, allowing HR professionals to focus on building relationships and making strategic hiring decisions.
AI algorithms can also match candidates with the most suitable roles based on their skills, experience, and personality, improving the quality of hires and reducing turnover. Even AI-powered chatbots and virtual assistants can enhance the candidate experience by providing timely responses to queries and personalised guidance throughout the application process.
Also Read: Redefining employee experience: Where efficiency meets empathy in the AI era
Read More: Will technology replace HR?
Moreover, AI plays a vital role in employee retention. By analysing data on employee engagement, performance, and sentiment, AI can identify individuals at risk of leaving, enabling proactive retention strategies.
Personalised learning and development recommendations, fuelled by AI, can also empower employees to grow and develop their skills, fostering a culture of continuous learning and increasing engagement.
AI-driven talent acquisition and retention is a win-win for both organisations and employees. By automating routine tasks, mitigating bias, and delivering personalised experiences, AI enables businesses to attract, engage, and retain top talent in the digital age.
Optimisation and productivity through AI
AI’s impact on workforce optimisation extends beyond forecasting and recruitment. By harnessing the power of data analytics and machine learning, AI can help identify optimal staffing levels, ensuring that businesses have the right number of employees with the right skills at the right time. This can lead to significant cost savings by reducing overstaffing and improving operational efficiency.
Furthermore, AI’s ability to automate routine tasks and workflows frees up employees to focus on more strategic and value-adding activities. This not only enhances productivity but also fosters employee engagement and job satisfaction. AI-powered performance analytics can also identify training needs and areas for improvement, enabling targeted development programmes that enhance employee skills and contribute to overall organisational success.
AI-driven workforce optimisation enables organisations to create a lean, agile, and high-performing workforce capable of meeting the demands of today's fast-paced business environment.
Read More: AI in the workplace goes beyond productivity
Boosting diversity in the workplace with AI
AI also holds the potential to create a more diverse and inclusive workplace. By mitigating bias in hiring and talent management processes, AI can help organisations build teams that are truly representative of the communities they serve.
Algorithms can be trained to identify and flag potential instances of unconscious bias in decision-making, ensuring that all candidates and employees are evaluated fairly and objectively. This promotes a culture of equity and empowers individuals from all backgrounds to reach their full potential.
Diversity, equity, and inclusion are key features of a future-ready organisation. A McKinsey study found that companies in the top quartile for ethnic diversity are 36% more likely to outperform their rivals. The study also showed that diverse companies earn twice as high in terms of cash flow per employee.
Read More: What needs to be done before building an inclusive workplace
However, it's important to acknowledge that AI is not a silver bullet for diversity and inclusion. Transparency and explainability in AI algorithms are crucial to ensure that they are not perpetuating biases or creating unintended consequences.
Organisations must be committed to ongoing monitoring and evaluation of AI systems to ensure they remain fair and equitable. In essence, AI-enabled diversity and inclusion efforts can help organisations create a more just and equitable workplace, where everyone feels valued and has the opportunity to thrive.
4 factors to consider before adopting AI in workforce planning
While AI offers immense potential in transforming workforce planning, it's important to acknowledge the challenges and ethical considerations associated with its implementation. Here are some key discussion points that you can consider before adopting AI solutions in workforce planning:
Data privacy and security
Implementing robust measures to protect sensitive employee information and ensure compliance with regulations.
Upskilling HR professionals
Providing ongoing training and development to equip HR teams with the skills and knowledge to effectively leverage AI tools and insights.
Risk of overreliance on AI
Striking a balance between human judgement and AI-driven decision-making, avoiding unintended consequences, and ensuring accountability.
Ethical guidelines
Establishing clear guidelines for using AI in workforce planning, prioritising fairness, transparency, and human oversight.
Read More: The ethical use of AI in HR
Indeed, AI is revolutionising workforce planning, empowering organisations to proactively navigate the complexities of the modern talent landscape. From predicting future skill requirements to optimising talent acquisition and retention, AI is transforming every aspect of strategic workforce planning.
However, it's important to remember that AI is a tool, not a replacement for human judgement. The most effective workforce planning strategies will involve a symbiotic relationship between AI and HR professionals, leveraging the strengths of both to achieve optimal outcomes.
By embracing AI responsibly and ethically, organisations can build a future-ready workforce equipped to thrive in the digital age. The future of work is here, and AI is the key to unlocking its full potential.
So what are you waiting for? Join us and stay abreast on the latest insights and offerings at People Matters TechHR Pulse Indonesia 2024. Click now to know more.
| 10 months ago | People Matters Global | data:image/jpeg;base64,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 | 50 | machine learning workforce | 2025-06-17 14:03:31 | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.