MIT Study: AI Could Replace 11.7% of U.S. Workforce, Affecting $1.2 Trillion in Wages
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Summary
MIT researchers have developed a labor simulation tool called the Iceberg Index that analyzes how AI affects the U.S. workforce. Their study finds that artificial intelligence can already replace 11.7% of the U.S. labor market, representing approximately $1.2 trillion in wages across key sectors including finance, health care, and professional services. The research uses sophisticated modeling to simulate interactions among 151 million U.S. workers and assess AI's impact on employment patterns and policy implications.
Key quotes
· 3 pulledartificial intelligence can already replace 11.7% of the U.S. labor market, or as much as $1.2 trillion in wages across finance, health care and professional services
The study was conducted using a labor simulation tool called the Iceberg Index, which was created by MIT and Oak Ridge National Laboratory
The index simulates how 151 million U.S. workers interact across the country and how they are affected by AI and corresponding policy
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