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Universal Income? Silicon Valley Debates How to Share the Benefits of the AI Boom

From universal basic income to public wealth funds, Silicon Valley executives are increasingly exploring ways to cushion workers from potential disruption while extending the gains of the AI revolution to the public
Published: June 11, 2026
AI apps displayed on a smartphone screen, illustrating the rapid expansion of AI technologies amid intensifying competition between the United States and China. (Image: Anna Barclay via Getty Images)

As AI continues transforming industries at an unprecedented scale, some of Silicon Valley’s most influential figures are turning their attention to a pressing question: How can societies ensure that the wealth created by AI benefits the broader public rather than a small group of companies and investors?

According to an Associated Press (AP) report published June 10, AI company Anthropic announced it would commit $200 million to study the technology’s impact on employment and the broader economy. The initiative comes as technology executives, policymakers, and economists increasingly debate how to prepare for the possibility of significant labor market disruption.

Anthropic CEO Dario Amodei, in a lengthy essay published on his personal website, urged governments and businesses to begin planning now for the economic consequences of increasingly capable AI systems. “Now the risks are clearly here,” Amodei wrote. He argued that policymakers should proactively prepare for a range of scenarios in which AI reshapes the nature of work.

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Concerns over the future of employment

Amodei suggested that generative AI could affect labor markets more broadly than previous technological revolutions and that the resulting transition may unfold over an extended period. The central challenge, he argued, may not simply be generating economic growth, but ensuring that the gains from technological progress are distributed widely across society.

Several major institutions have issued similar warnings. The International Monetary Fund (IMF) has estimated that roughly 40 percent of jobs worldwide could be affected by AI, with the figure rising to as much as 60 percent in advanced economies. Goldman Sachs has projected that generative AI could eventually influence the equivalent of approximately 300 million full-time jobs globally.

At the same time, many economists caution against assuming that AI will simply eliminate employment. Historically, technological revolutions have displaced certain occupations while creating entirely new industries and opportunities. The more pressing question, some analysts argue, is whether workers and educational systems can adapt quickly enough to changing demands.

A recent commentary piece in The Economist suggested that the greatest risk may not be permanent mass unemployment but rather whether social institutions can keep pace with technological change.

From universal income to public funds

Anthropic’s announcement follows similar discussions taking place elsewhere in the AI industry. OpenAI CEO Sam Altman has discussed the possibility of establishing public wealth mechanisms that would allow citizens to share in the prosperity generated by AI-driven industries. According to reports, Altman and U.S. Senator Bernie Sanders have even explored proposals involving public investment structures tied to emerging technologies.

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Meanwhile, President Donald Trump told reporters in the Oval Office that he expected to meet “very shortly” with “the top 12 or 15 executives” from major AI companies to discuss ways the public could share in the wealth generated by the industry’s growth. He suggested that AI firms could “give back something to the public,” adding, “If we do that, the American people are going to become very wealthy.”

While details remain unclear, the comments reflect growing bipartisan interest in ensuring that AI-driven productivity growth translates into broader economic benefits.

Preparing for multiple scenarios

Anthropic’s economic policy framework proposes contingency plans based on varying degrees of labor market disruption. The company outlined three hypothetical scenarios: Unemployment rising to 5 percent, unemployment reaching 10 percent, and a severe employment crisis beyond historical precedent.

According to the U.S. Department of Labor, the national unemployment rate currently stands at 4.3 percent. In its most severe scenario, one involving labor market disruption beyond historical precedent, Anthropic suggested policymakers may need to consider measures such as universal basic income, AI sovereign wealth funds, worker equity-sharing arrangements, and other profit-distribution mechanisms to ensure the gains from AI are more broadly shared.

Amodei argued that such programs could potentially be financed through taxes on companies that benefit most from AI-driven productivity gains or through reforms to capital gains taxation. He also recommended developing more sophisticated systems to monitor AI’s effects across industries in real time and exploring incentives that encourage companies to retain workers during periods of transition.

These proposals remain controversial. Critics argue that heavy taxation could undermine America’s competitiveness in the global AI race, while supporters contend that failing to address inequality could deepen social divisions.

Safety guardrails

Anthropic said its newly-created $200 million “Economic Futures Research Fund” will support research and policy evaluation aimed at understanding how AI reshapes labor markets and the broader economy. The company also unveiled Claude Corps, a $150 million initiative that will place 1,000 early-career AI fellows in nonprofit organizations across the United States to help communities integrate AI tools and broaden access to the technology’s benefits.

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Beyond economics, Anthropic continues to advocate for stronger safeguards around advanced AI systems. Founded in 2021 by former OpenAI researchers, the company has built its reputation around a “safety-first” approach to development. In its latest recommendations, Anthropic argued that regulators should have the authority to delay or block the deployment of AI models deemed to pose catastrophic risks.

Amodei suggested that advanced AI systems should undergo rigorous testing and independent audits before public release, drawing comparisons to the certification processes used by the Federal Aviation Administration for aircraft.

As AI continues evolving, the defining question may not be whether the technology transforms society. It almost certainly will. The more difficult question is whether the prosperity it creates can be shared broadly enough to ensure that the benefits of the AI revolution extend beyond Silicon Valley.