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- McKinsey: AI may force 11 million US workers to change occupations by 2035
A new McKinsey Global Institute report estimates that by 2035 AI and automation could reduce demand for roughly 36 million US jobs while creating about 41 million roles elsewhere, leaving a possible net gain in employment. It warns that about 11 million US workers—some 7% of the current workforce, within a range of 6 million to 16 million—may need to switch occupations entirely, equal in the baseline scenario to about 770,000 full career changes a year, roughly 3.6 times the historical average. The hardest-hit areas are office and administrative support, retail and transportation, mostly lower-wage work; low-wage workers are 7.6 times more likely than high-wage workers to need an occupational change, about 85% of growing roles require some credential or license, and around 76% cannot be done remotely.
科技新报 · 🔥 0 - AI creates new jobs, but the entry path is narrowing
An analysis piece argues AI is creating new roles such as agent developer and embodied-AI robot application technician, but the entry path for ordinary workers is not widening at the same pace. It cites a September McKinsey Global Institute report estimating about 11 million US workers may need to change occupations by 2035, with only roughly 14% having direct transition paths needing little reskilling and no significant pay cut. It also points to a Stanford Digital Economy Lab study updated in August that found 22–25 year-olds in AI-exposed occupations grew about 19% below peers in less-exposed jobs, mainly through reduced hiring, and to a Technical University of Munich experiment with 275 programming students where AI users scored better on exercises without matching knowledge gains. On Oct. 8, Reuters reported AT&T moved document review and legal research from outside junior lawyers to an internal 38-person LegalEdge team working with AI, cutting outside billable hours; Ropes & Gray lets over 1,000 lawyers count up to 100 hours of AI training toward billable requirements.
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