Daron Acemoglu
MIT economist studying AI, labor and shared prosperity
An MIT economist whose research examines how automation and AI affect work, wages and institutional power. He argues that policy and business choices determine whether technology augments workers or mainly replaces them.
Key arguments & positions
- Argues that automation does not automatically create broadly shared prosperity; policy and business choices determine whether technology augments workers or mainly replaces them.
- Questions forecasts of sweeping near-term productivity gains from generative AI and calls for investment in tools that create new tasks for people.
Accomplishments
- Institute Professor of Economics at MIT and faculty co-director of its Stone Center on Inequality and Shaping the Future of Work.
- Shared the 2024 Nobel Memorial Prize in Economic Sciences for research on how institutions shape prosperity.
- Co-authored Power and Progress (2023) with Simon Johnson, tracing how political choices determine who benefits from technological change.
Papers & key writings
Links
In the library
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Why this: Covers AI and work and automation too
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Why this: Covers labor economics and automation too
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Why this: Also about automation
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