On Monday, more than 200 economists, technology executives, and AI researchers released an open letter titled “We Must Act Now,” warning that artificial intelligence could trigger large-scale job displacement within a decade. The statement, organised by the Stanford Digital Economy Lab, was signed by fifteen Nobel laureates—including Daron Acemoglu, Joseph Stiglitz, and Simon Johnson—alongside industry figures such as former Google CEO Eric Schmidt, LinkedIn co-founder Reid Hoffman, Anthropic co-founder Jack Clark, and OpenAI’s finance chief Sarah Friar. The letter argues that AI may become “radically more powerful” over the next ten years, driving an economic shift larger than the Industrial Revolution but compressed into a far shorter timeframe, bringing both risks of mass job losses and opportunities for significant gains in living standards.

The intervention lands at a moment of contradictory signals. In the United States, tech giants are borrowing at record levels to fund AI infrastructure: six firms—Amazon, Alphabet, Meta, NVIDIA, Oracle, and SpaceX—issued $244 billion in debt in the first half of 2026, more than double the same period a year earlier, according to data compiled by CNN Brasil. Yet the labour market impact remains uneven. While companies including Meta and Coinbase have cited AI-driven efficiency as a reason for layoffs, some analysts point to over-hiring and cost-cutting as alternative explanations. In Switzerland, Michael Siegenthaler of the KOF Swiss Economic Institute notes that certain professions with high AI exposure—such as IT, marketing, and communications—have already seen rising unemployment, but many other roles considered vulnerable, including legal and call-centre work, show little effect so far. “The evidence is contradictory,” he told the Neue Zürcher Zeitung.

Viewed from developing economies, the risks extend beyond national labour markets. The United Nations warned in December that AI could widen inequality between countries, with advanced economies capturing early gains while poorer nations fall further behind. The letter’s signatories, who include AI pioneers Yoshua Bengio and Yann LeCun, do not propose specific policies but call for the rapid construction of “incentives, guardrails, and institutions” to steer AI toward complementing human workers. The breadth of the coalition—uniting AI developers and the economists who study the technology’s consequences—gives the statement a weight that earlier, narrower warnings lacked.

The next factual milestone will be the release of mid-year employment data from major economies, which will offer the first systematic look at whether AI-exposed occupations are shedding jobs at an accelerating pace. In parallel, policymakers in Washington, Brussels, and other capitals face mounting pressure to move beyond voluntary guidelines and toward binding rules on workforce transition and AI deployment.