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McKinsey's analysis indicates that while AI-driven automation will reshape the U.S. labor market by 2035, it is projected to generate more roles than it displaces overall. The critical challenge identified is not a net loss of employment, but the structural friction requiring approximately 11 million workers to cross occupational lines and acquire new credentials to access growing sectors. This highlights a significant policy and educational hurdle where the primary barrier to workforce adaptation is often the cost and time required for retraining rather than a lack of technical capability.
Source coveringFortune
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

McKinsey research shows AI creating more jobs than automation displaces — but 11 million American workers will need help this decade

Fortune4 min read

Our new research finds that the U.S. economy will have more jobs by 2035 than today, but the mix will differ.

While debates about AI’s impact on the workforce dominate headlines, the biggest challenge ahead will be helping workers find the most direct pathway into growing jobs. Our new research finds that the U.S. economy will have more jobs by 2035 than today. But the mix will differ, requiring many workers to retrain or earn credentials. Roughly 11 million Americans may need to leave a shrinking occupation for an entirely different one. Many will find work within the occupational group they already know, but an…

Excerpt shown under the publisher's RSS terms · 84 words · full text and figures are on the publisher's site

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