200+ Economists Warn AI Threatens Jobs and Economy

More than 200 leading economists, AI researchers, and technology executives — including 16 Nobel laureates — have signed a stark warning that artificial intelligence could drive an economic transformation larger than the Industrial Revolution, unfolding in a vastly shorter time frame. The warning, released Monday and organized by the Stanford Digital Economy Lab, comes alongside mounting evidence that the massive AI infrastructure buildout is already contributing to inflation, raising prices for laptops, electronics, and electricity.

The “We Must Act Now” Statement

The statement, titled “We Must Act Now: A Statement on AI’s Transformation of the Economy,” warns that AI “may become radically more powerful over the next 10 years” and could bring both “large-scale job displacement” and “major gains in living standards.” The signatories include former Google CEO Eric Schmidt, LinkedIn co-founder Reid Hoffman, Nobel laureates Joseph Stiglitz, Daron Acemoglu, Simon Johnson, Michael Spence, Paul Krugman, and former Federal Reserve Chair Ben Bernanke, as well as AI leaders Jeff Dean (Google DeepMind), Yann LeCun (Meta AI), and Yoshua Bengio.

According to the statement website, the signatories call on economists, policymakers, and technology leaders to “build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society.”

Erik Brynjolfsson, director of the Stanford Digital Economy Lab and the statement’s lead organizer, said: “AI capabilities are advancing far faster than our understanding of the economic implications. In that gap lie the greatest opportunities of our era. We must act now to guide AI to complement humans rather than simply imitate them — and to generate prosperity for the many, not just the few.”

AI-Driven Inflation Hits Consumers

Simultaneously, a separate report from the Associated Press highlights how the AI buildout is creating a new wave of inflationary pressure. Four major tech companies — Google parent Alphabet, Amazon, Meta Platforms, and Microsoft — are expected to invest $720 billion this year, mostly on data centers. That spending is driving up the cost of memory chips, with JPMorgan Chase economists estimating some computer memory chip prices will have soared by as much as 400% between 2024 and the end of 2026.

Consumers are already feeling the impact. Apple raised laptop and iPad prices by 15% to 25%, with a top-line MacBook now costing $1,999, up from $1,699. Microsoft announced a $100 price increase for its Xbox console, effective Aug. 1, citing higher memory chip costs. Electricity prices rose 5.9% in May compared to a year earlier, and Goldman Sachs forecasts 6% increases in both 2026 and 2027 as data centers absorb growing electrical capacity.

“The rapid expansion of AI data centers has created an extraordinary surge in demand for memory and storage,” Apple said in a statement. “We have never seen a component price increase this much, this quickly.”

Federal Reserve on Alert

The AI-driven price increases pose a fresh challenge for the Federal Reserve, which has kept its key interest rate steady as core inflation — at 3.4% in May — remains well above the 2% target. Fed Chair Kevin Warsh, who took over May 22, has said he believes AI will eventually make the economy more efficient, but acknowledged that AI investment is currently boosting demand.

NY Fed President John Williams warned last week that if AI creates “a sustained impulse to demand relative to supply,” the Fed may not be able to “look through” the inflation. According to minutes from the Fed’s June policy meeting, many officials share Williams’ concerns.

“In isolation one or two such shocks is perhaps transitory, something they’re willing to live with,” said Abiel Reinhart, an economist at J.P. Morgan. “A sustained series of shocks, or a wider range of shocks, becomes more concerning to them.”

Implications for Jobs and the Economy

The dual warnings — on job displacement and inflation — underscore a growing unease about AI’s economic impact even as investment in the technology accelerates. While generative AI has automated parts of white-collar jobs such as coding, customer service, and marketing, there is little evidence so far of widespread job losses. However, research from Harvard Business School, INSEAD, and the University of Toronto found that venture-backed startups are hiring fewer entry-level workers while recruiting more experienced employees, reflecting a shift toward smaller, AI-assisted teams.

Anthropic CEO Dario Amodei has predicted AI could eliminate up to half of entry-level white-collar jobs within five years. The statement’s signatories warn that the speed of transformation may leave little time for adaptation.

“Steam, electricity, and computers each gave societies decades to adapt; AI may give us only a few years,” said Anton Korinek, a professor at the University of Virginia on leave at Anthropic. “We cannot improvise our strategy and institutions in the middle of the transformation; waiting for certainty means arriving too late.”

What’s Next

The June inflation report, due Tuesday, will provide the next key data point for policymakers assessing AI’s impact on prices. The Fed faces a delicate balancing act: raising rates too aggressively could stifle the productivity gains AI promises, while doing too little could allow inflation to become entrenched. Meanwhile, the signatories of the “We Must Act Now” statement are calling for a coordinated effort to build the economic guardrails needed to manage what could be the most rapid economic transformation in modern history.

As Ajay Agrawal of the University of Toronto put it: “Whether rapidly advancing AI broadly elevates global living standards or severely concentrates wealth is not predetermined; it depends on how we choose to re-architect our political and economic systems today.”