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MIT Study: AI Could Replace 11.7% of US Workers
MIT and Oak Ridge National Laboratory's Iceberg Index shows AI can replace tasks worth $1.2 trillion in wages, impacting 11.7% of U.S. jobs across all states and sectors.
- On Wednesday, the Massachusetts Institute of Technology released a study estimating AI can already perform tasks tied to 11.7% of the U.S. labor market, representing about $1,200,000 million in wages.
- The Iceberg Index simulates 151 million workers as individual agents with skills, tasks, occupations, and locations, mapping over 32,000 skills across 923 occupations in 3,000 counties, Prasanna Balaprakash said it's "Basically, we are creating a digital twin for the U.S. labor market."
- Visible changes in tech account for 2.2% of wage exposure, about $211 billion, as IBM reduces HR staff, Salesforce freezes hiring, and McKinsey projects 30% financial task automation by 2030.
- Tennessee moved first, citing the Iceberg Index in its AI Workforce Action Plan this month, while Tennessee, North Carolina and Utah use it to test reskilling and training investments.
- Researchers caution the tool is not a prediction engine, with the Yale Budget Lab finding no 'discernible disruption' years ago while Geoffrey Hinton warned last week of AI's rapid deployment.
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35 Articles
35 Articles
Coverage Details
Total News Sources35
Leaning Left4Leaning Right4Center7Last UpdatedBias Distribution46% Center
Bias Distribution
- 46% of the sources are Center
46% Center
L 27%
C 46%
R 27%
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