Key Takeaways:
More than 200 economists and researchers, including 15 Nobel laureates, warned Monday that AI's economic transformation may outpace society's ability to adapt.
More than 200 researchers and economists, including 15 Nobel laureates and staff from OpenAI, Anthropic and Google, called on governments Monday to urgently build policies and institutions addressing AI's economic impact, warning the transition could unfold in years rather than decades.
"Steam, electricity, and computers each gave societies decades to adapt. AI may give us only a few years," said Anton Korinek, a University of Virginia professor who joined Anthropic's economic research team in March and helped organize the initiative.
The 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. The statement calls for deeper research on AI's economic effects and policies to navigate risks including large-scale job displacement.
The warning arrives as AI-related investment already strains the broader economy. Four large tech companies — Alphabet, Amazon, Meta Platforms and Microsoft — are expected to spend $720 billion this year, mostly on data centers, according to analysts. That spending has pushed memory chip costs up as much as 400% between 2024 and the end of this year, JPMorgan Chase economists estimate, and contributed to a 5.9% year-over-year rise in electricity prices in May.
The expert statement draws a direct line between AI's potential and the Industrial Revolution but stresses a critical difference in pace. "We cannot improvise our strategy and institutions in the middle of the transformation; waiting for certainty means arriving too late," Korinek said. The group urged governments and technology leaders to begin building guardrails now rather than reacting after disruption has occurred.
The call for policy action coincides with mounting evidence that AI's physical infrastructure is already reshaping inflation dynamics. Core inflation, according to the Fed's preferred measure, stood at 3.4% in May, well above the central bank's 2% target. Economists at Evercore ISI described a "wave of AI-related cost pressures spilling over into consumer prices" that remains in early stages. Apple last month raised laptop and iPad prices by 15% to 25%, citing component costs it called unprecedented in speed and scale. Microsoft will increase Xbox console prices by $100 on Aug. 1, while Dell and HP have raised laptop prices.
Federal Reserve policymakers have increasingly focused on AI's price impact. Chair Kevin Warsh, who took over May 22, has said AI should eventually make the economy more efficient and reduce inflation, but acknowledged July 1 that AI investment is currently boosting demand. New York Fed President John Williams said Thursday that if AI creates a sustained impulse of demand relative to supply, "that's the kind of situation where you don't look through this." Minutes from the Fed's June 16-17 meeting showed many officials share those concerns.
The last time the Fed faced a comparable supply-driven inflation shock was during the pandemic-era semiconductor shortage of 2021-2023, when core PCE peaked at 5.6% and the central bank raised rates by 525 basis points over 16 months. While the current AI-driven price pressures are more contained — economists forecast a roughly half-percentage-point boost to core consumer prices by year-end — they follow successive waves of tariff increases and energy price spikes from the Iran conflict, leaving inflation above target for more than five consecutive years.
"If this creates a sustained impulse to demand relative to supply in inflation, I do think that's the kind of situation where you don't look through this," Williams said.
The signatories did not propose specific legislation but called for the creation of new institutions modeled on those built during previous technological shifts. The statement's organizers — Korinek, Erik Brynjolfsson, Ajay Agrawal and Tom Cunningham — plan to follow with detailed policy proposals in coming months. For investors, the growing consensus among economists and AI researchers signals that regulatory risk for the sector is rising, even as the infrastructure buildout continues to accelerate.
This article is for informational purposes only and does not constitute investment advice.
