Nearly 200 Economists and AI Leaders Urge Immediate Action on AI’s Economic Risks

Earlier this week a striking — and a little unsettling — statement appeared online, signed by close to two‑hundred of the world’s leading economists, AI researchers, and policy advisers. The signatories, ranging from Nobel laureates to CEOs of AI startups, all agreed on one point: the economic shockwaves from generative AI are already being felt, and governments can’t afford to sit on the sidelines any longer.

“We must act now,” the headline reads, and the message that follows is anything but vague. The authors warn that rapid advances in large‑language models, image generators and other generative systems are set to reshape labour markets at a pace that outstrips traditional policy tools. Jobs that once seemed secure — from basic data entry to more skilled tasks like legal drafting and software coding — are now vulnerable to automation.

One of the signatories, noted economist Daron Acemoglu, points out that “the speed of AI deployment is unprecedented, and the distributional consequences are likely to be severe.” He and his colleagues stress that without timely interventions, we could see a widening gap between those who own and control AI technologies and the bulk of workers who might be displaced.

The statement calls for a suite of coordinated actions. First, it urges governments to invest heavily in upskilling and reskilling programs, targeting not only the tech‑savvy but also workers in sectors traditionally seen as “low‑skill.” Second, it recommends a redesign of the social safety net—think universal basic income pilots, expanded unemployment benefits, and portable benefits tied to individuals rather than jobs.

Beyond domestic policy, the signatories stress the need for international cooperation. AI doesn’t respect borders, and the economic fallout will be global. They propose a forum akin to the G20, dedicated to AI’s economic impact, where nations can share best practices, coordinate fiscal measures, and avoid a race‑to‑the‑bottom on regulation.

In a more technical vein, the statement urges the creation of standards for AI transparency and accountability. If firms must disclose how their models affect employment, policymakers can better gauge where interventions are most needed. Moreover, the authors argue for taxes on AI‑driven productivity gains—a kind of “robot tax”—that could fund the very retraining and safety‑net programs they champion.

Not everyone is convinced that heavy‑handed regulation is the answer. Some tech leaders warn that over‑regulation could stifle innovation, slowing the benefits AI can bring to healthcare, climate modeling, and education. Yet the consensus among the signatories is clear: a balanced approach, one that safeguards workers while preserving AI’s upside, is essential.

As the statement spreads, it is already sparking debate in legislatures across Europe, the United States, and Asia. Whether these calls will translate into concrete policy remains to be seen, but the urgency is unmistakable. In the words of the petition, “the longer we wait, the higher the cost—not just in dollars, but in social cohesion and trust.”