Nobel laureates urge urgent action on AI’s economic impact
TL;DR:
- More than 200 researchers and economists — including 15 Nobel laureates and staff at OpenAI, Anthropic and Google DeepMind — have signed a joint statement urging leaders to prepare for AI’s economic upheaval.
- They warn the technology could reshape the economy faster than the Industrial Revolution, over years rather than decades.
- The group calls for deeper research and new institutions to navigate risks such as large-scale job displacement.
An unusually broad coalition of academics and industry figures has put its name to a single warning: the economic disruption from artificial intelligence is coming quickly, and governments are not ready. The statement, issued on Monday, gathered more than 200 signatories spanning rival labs and competing schools of economic thought.
A rare show of consensus
The initiative was organised by University of Virginia economist Anton Korinek, who joined Anthropic’s economics research team in March, alongside fellow economists Erik Brynjolfsson, Ajay Agrawal and Tom Cunningham. Signatories include OpenAI finance chief Sarah Friar, Google DeepMind chief scientist Jeff Dean, Anthropic co-founder Jack Clark, and Nobel laureates Michael Spence, Daron Acemoglu and Simon Johnson.
“Steam, electricity, and computers each gave societies decades to adapt. AI may give us only a few years,” Korinek said. The group argues that waiting for certainty about AI’s effects means acting too late, and calls for research and institutions capable of steering the transition rather than reacting to it.
For UK readers, the warning is not abstract. The Bank of England has already flagged AI as a financial-stability risk, and British firms have begun redirecting budgets towards AI even as they cut headcount. The signatories’ concern is less whether disruption arrives than whether retraining, welfare and regulation can move at the pace the technology sets.
Looking forward
A letter, however well-signed, changes nothing on its own — and the presence of frontier-lab executives among the authors invites the question of whether industry is helping to shape the policy conversation it created. But the breadth of agreement is itself the signal. When competing labs and Nobel economists converge on the same warning, the pressure on governments to produce a concrete answer — on jobs, tax and institutions — grows harder to defer.