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Daron Acemoglu
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Daron Acemoglu

Economist and Nobel laureate known for research on AI's economic effects.

Daron Acemoglu is the MIT economist and 2024 Nobel laureate whose own research puts AI's ten-year productivity gain below 0.66%, the sceptical floor of the field, yet he signed Stanford's 13 July "We Must Act Now" warning anyway.

Last refreshed: 17 July 2026 · Appears in 1 active topic

Timeline for Daron Acemoglu

#17 13 Jul

Signed the statement despite holding conservative AI-productivity estimates

AI: Jobs, Power & Money: 16 Nobel laureates sign Stanford's alarm
View full timeline →

Background

Daron Acemoglu is the Elizabeth and James Killian Professor of Economics at MIT, where he has taught since 1993 and was named an Institute Professor in 2019. Born in Turkey, of Armenian descent, he studied mathematical economics at the University of York before completing a master's and doctorate at the London School of Economics.

His research spans political economy, development economics and labour economics. He is best known for work with James A. Robinson on why some nations prosper and others do not, set out in "Why Nations Fail". In 2024 he shared the Nobel Memorial Prize in Economic Sciences with Robinson and Simon Johnson for demonstrating how inclusive political and economic institutions drive prosperity.

On AI specifically, his NBER Working Paper No. 32487, "The Simple Macroeconomics of AI", estimates the technology's contribution to total factor productivity at no more than 0.66% cumulatively over ten years, and under 0.53% on conservative assumptions, among the most cautious figures in the economic literature on AI's growth effect. That paper's scepticism sits alongside his willingness to ADD his name to public warnings about AI's pace, a tension that recurs whenever his research and his advocacy are read side by side.

Common Questions
Who is Daron Acemoglu?
He is an MIT economist and 2024 Nobel laureate known for research on institutions and, more recently, AI's economic impact.
What does Daron Acemoglu's research say about AI's economic impact?
His 2024 NBER paper estimates AI adds at most 0.66% to total factor productivity over ten years, a sceptical floor.
Why did Daron Acemoglu sign the Stanford AI statement despite his own sceptical estimate?
Unclear; the statement argues for urgent preparation regardless of the size of AI's eventual economic effect.