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This analysis highlights the critical skills gap emerging from AI-driven labor shifts, noting that while job creation may outpace displacement by 2035, roughly 11 million workers will need to transition to new occupations requiring specific credentials. The report emphasizes that automation will likely augment roles in management and law rather than replace them entirely, though administrative functions face significant hour-level automation risks. For the AI community, the central takeaway is the urgent need for workforce upskilling programs focused on verifying AI outputs and adapting workflows to maintain human oversight.
Sources coveringFortune, InfoQ
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

McKinsey: Automation could absorb half of U.S. work hours by 2035. The bigger challenge is skills

Fortune4 min read

Roughly 11 million workers may need new occupations, and many lack the skills or credentials to get there.

Good morning. AI could automate more than half of U.S. work hours over the next decade. But that doesn’t mean half the workforce will disappear. That’s a key finding of new research from the McKinsey Global Institute (MGI). The report estimates that technological and economic changes could reduce labor demand by the equivalent of 36 million jobs over the next decade. At the same time, economic growth, including growth in AI-related industries and services, could create demand for…

Excerpt shown under the publisher's RSS terms · 78 words · full text and figures are on the publisher's site

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