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technology22h ago
MIT study finds AI can already replace 11.7% of U.S. workforce
Cnbc.com and 2 more
- AI could currently affect roughly 12% of the U.S. jobs market, with implications spanning multiple sectors beyond tech.
- The Iceberg Index tracks 151 million workers, 923 occupations, and 32,000+ skills to map automation risk across 3,000 counties.
- Automation risk is widespread, with human resources, logistics, finance, and administration among the most vulnerable beyond traditional tech roles.
- Policy design and training are pivotal; government planning can mitigate displacement by guiding upskilling and infrastructure investments.
- The Iceberg Index helps forecast AI’s effects before they materialize, enabling targeted local planning with county-level detail (about 3,000 counties).
- New reference data from TechRadar underscores that MIT’s findings are being framed as actionable intelligence for policy and workforce readiness.
- Visible vs. hidden effects: MIT’s framework distinguishes direct job losses from broader shifts in task demands and organization.
- Regional variance exists: some states show higher hidden exposure to automation, highlighting the need for tailored training in those areas.
- The study situates AI-driven disruption within broader automation debates, linking productivity gains to shifts in labor demand.
- Policy relevance at the state level is demonstrated by how Iceberg-informed plans could reduce taxpayer waste through proactive training and policy testing.
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