Topic
The ongoing trend of AI adoption reshaping workforces, including hiring shifts, automation-linked layoffs, and changing seniority mixes at AI-adopting firms.
JPMorganChase topped Evident AI's bank ranking for a fourth straight year, and Evident says its lead over banks outside the top ten is widening. The firm credits platform architecture the smaller banks have yet to build.
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TIAA's survey finds 51% of Gen Z believe AI threatens their ability to save for retirement, 11 points above the national average. Most of that fear is about pay, and sponsors cannot yet see whether it lifts contributions or goes into rainy-day funds.
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McKinsey Global Institute's base case has about 11 million US workers leaving their occupations by 2035 because of AI and automation. The cost of that shift will be paid in training and relocation, since most of the growing jobs require a credential and cannot be done remotely.
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Construction added 109,000 jobs in a year, growing 2.4 times as fast as professional and business services in BLS payrolls released October 2. Wolf Richter credits data centers, factories and power plants, so hiring is following capital spending into physical projects.
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LHH says 57.68% of the laid-off workers it supported moved into new roles or careers in 2025, while 87% of HR leaders report recent or planned cuts. The case for redeploying staff first holds best on timing and worst where cuts are meant to free salary for AI.
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Irrational Labs found 67% of surveyed workers expect AI to take peers' jobs within a year, but only 15% expect to lose their own. For managers, widespread worry about AI says little about whether any one employee sees a reason to prepare.
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Stanford and King's College London researchers found senior roles at AI-adopting firms grew 6.7% over five years while junior roles fell 3%. Junior development is now a leadership decision, made on evidence that so far amounts to a newsletter summary of one paper.
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US tech layoffs hit 94,046 through August, up 16.8% on 2025, with May's 31,513 cuts accounting for more than twice that increase. Big employers set the monthly count, so the summer's 16.2% decline tracks their announcement calendars.
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Of the 21% of first-half 2025 layoffs Gartner could link to AI at all, 17 points were legacy units cut to pay for AI engineers, salespeople and data center staff. Cuts from AI productivity gains stayed near 1%.
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Pew asked more than 42,000 people what AI will do to employment, and the median answer was fewer jobs. TechSpot's reading of the tables puts the most AI-aware respondents among the most worried, and a Mercer survey puts executives at 99%.
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US hiring has run near its weakest level since the Great Recession for two straight years, and an Indeed Hiring Lab economist now calls that the new normal.
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Cerulli surveyed firms holding a combined $1.2 trillion and found 73% of RIAs making junior advisors a top hiring priority for the next two years. Only 12% of those firms qualify as leaders on its own AI adoption framework.
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Sanders and Takano's reintroduced bill would drop the federal overtime threshold to 32 hours over four years and bar any cut to weekly pay, a cost that lands on payrolls whether or not an employer ever deploys AI.
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The Bank of Korea's new regional labour note puts 199,000 of the 247,000 jobs added in generative-AI-exposed occupations since 2023 inside the capital area. Physical-AI exposure is highest in the industrial provinces.
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Zuckerberg's 6,500-word essay promised everyone a personal agent. The pushback was about Meta's record, not the model, which is a messaging constraint for anyone shipping agents.
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The Guardian's 2027 university guide puts 28% of computer science graduates in professional coding jobs last year, down from about 40%, and the two analysts reading the data disagree over how much of the drop AI explains.
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NerdWallet's Elizabeth Renter calls the labor market lethargic rather than collapsing, and the useful detail for a headcount plan is that health care and temp work are doing the hiring while manufacturing and information services shed.
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Noahpinion sets the prime-age employment rate near all-time highs against Ipsos and Pew findings that the public expects AI to compete with workers, which leaves headcount plans resting on a premise the aggregate data has not tested.
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AI made production cheap and pushed the bill downstream onto review and integration work the buyer already pays for, which is where Webb expects the correction even as Bain finds 90% of budgets still rising.
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A new book from the MIT labor economist names a category he calls marginal workers: 17% of US employees who sit on the payroll while their employer plans not to keep them.
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