More than 200 economists and artificial intelligence researchers signed a Stanford Digital Economy Lab statement released on July 13, 2026, warning that AI could transform the economy faster than governments, companies and workers are prepared to handle.
The statement, called We Must Act Now: A Statement on AI's Transformation of the Economy, does not predict a specific unemployment number or propose one policy. Its central point is narrower: AI may become much more powerful within the next decade, and public institutions should prepare before the labor-market shock is obvious.
Stanford said the signers include 16 Nobel laureates, along with researchers and technology leaders connected to universities and AI companies. The Associated Press reported that signers include economists, computer scientists and executives from companies including Anthropic, Google and OpenAI.
What the letter says
The letter argues that increasingly capable AI could create large gains in living standards while also raising the risk of large-scale job displacement. That combination is why the signers are asking economists, policymakers and technology leaders to build incentives, guardrails and institutions that push AI toward complementing people rather than simply replacing them.
Erik Brynjolfsson, director of the Stanford Digital Economy Lab, framed the issue as a timing gap: AI capabilities are advancing faster than the economy's understanding of their consequences. Other organizers include Ajay Agrawal of the University of Toronto, Anton Korinek of the University of Virginia, and Tom Cunningham of METR, according to Stanford's release.
Why workers and companies should care
The practical risk is not only layoffs. AI could also change who gets hired, which entry-level jobs survive, how much training companies provide, and whether productivity gains flow broadly or concentrate among a smaller set of firms and workers.
Business Insider reported that signers include former Google CEO Eric Schmidt, LinkedIn cofounder Reid Hoffman, Nobel laureates Joseph Stiglitz, Daron Acemoglu and Simon Johnson, Google AI leader Jeff Dean, Anthropic cofounder Jack Clark and OpenAI finance chief Sarah Friar. That mix matters because the warning is not coming from one political camp or only from labor advocates; it includes economists and people close to the AI industry itself.
The letter also arrives as evidence on AI's labor-market impact remains mixed. Some companies are using AI to automate coding, customer service, marketing and research tasks. At the same time, broad job losses directly attributable to AI have not yet appeared across the economy, making the policy question harder: wait for clearer damage, or build better measurement and adjustment tools now.
What to watch next
The useful next signal is whether policymakers turn the statement into concrete proposals. That could include better real-time labor data, worker retraining systems, AI disclosure rules in hiring and performance management, tax or procurement incentives for worker-complementing AI, or competition policy aimed at preventing gains from clustering in a few platforms.
For workers, the immediate takeaway is more practical than dramatic: track which parts of your role are becoming easier to automate, learn the tools that can raise your output, and watch whether employers are using AI to train people into better jobs or to shrink the path into them.
