Daron Acemoglu

Daron Acemoglu (born 1967) is an Institute Professor of economics at MIT, co-author of Why Nations Fail, and one of the most cited economists alive. In 2024 he shared the Nobel Memorial Prize in Economic Sciences with Simon Johnson and James Robinson for work on how institutions shape prosperity — credentials that make his AI skepticism unusually hard to wave away.

The case against the hype

His 2023 book Power and Progress, written with Johnson, argues that a thousand years of technological history show productivity gains flow to workers only when society forces the issue — and that AI, as currently deployed, is “so-so automation” that displaces labor without delivering transformative output gains. His 2024 paper “The Simple Macroeconomics of AI” put numbers on the skepticism: because only a sliver of tasks can be profitably automated within a decade, he estimates AI will add a nontrivial but modest boost of roughly 0.5–0.7% to productivity and about 1% to GDP over ten years — a fraction of the Goldman Sachs and McKinsey forecasts driving the investment boom.

He is equally caustic about the discourse itself, telling Fortune in 2026 that he finds only about a fifth of AI commentary intellectually serious. He warns that hype-driven capital allocation, an obsession with full automation over worker-augmenting tools, and the concentration of the technology in a handful of firms could repeat the mistakes of past technology transitions — enriching the few while degrading work for the many.

Notably, Acemoglu does not predict AI catastrophe or dismiss the technology outright — he expects real but modest gains, and wants policy to steer AI toward creating new tasks for workers rather than merely replacing them. Boosters retort that his estimates mechanically extrapolate from early, pre-agentic models and will age badly; he retorts that Wall Street’s numbers are faith, not economics.