WorkThe story, in brief
Three things in AI to watch, according to a Nobel-winning economist
A Nobel economist just told Silicon Valley everything it's doing wrong with AI.
The KeyNews take
Why it matters
Daron Acemoglu's contrarian take on AI deployment challenges Big Tech's narrative on automation, labor displacement, and productivity gains—the kind of institutional critique leaders need to hear before betting billions.
The key facts
5 to knowDaron Acemoglu won 2024 Nobel Prize in Economics
Published paper critical of Big Tech's AI narrative pre-Nobel
Article frames 'three things to watch' in AI from economic/societal perspective
Source: MIT Technology Review (credible institutional voice)
Published May 2026 — recent/current
Go to the source
MIT Technology Reviewtechnologyreview.com
Publisher excerpt: This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. A few months before he was awarded the Nobel Prize in economics in 2024, Daron Acemoglu published a paper that earned him few fans in Silicon Valley. Contrary to…