
Tech • IA • Crypto
U.S. political leaders are advancing proposals to give citizens equity in major AI firms, aiming to offset job losses with public dividends, despite concerns over the companies’ lack of profitability.
Former President Donald Trump has outlined a plan to distribute wealth generated by artificial intelligence companies to the public. The idea involves the government acquiring equity stakes in leading firms such as OpenAI, Anthropic, and xAI, then redistributing returns to citizens. The stated goal is to “make the public rich” as automation reshapes the labor market.
Under the proposal, the state would become a shareholder in AI companies, holding equity on behalf of citizens. As these firms generate profits—potentially by replacing human labor with AI systems—a portion of earnings would flow back to the population in the form of dividends, effectively compensating for job displacement.
The concept is not entirely new. The U.S. government has previously taken stakes in strategic industries, including investments in Intel, demonstrating a model for public participation in private-sector growth. Advocates argue this approach could be scaled to the AI sector.
A similar idea has been proposed by Senator Bernie Sanders, who suggested a more aggressive model requiring companies to allocate up to 50% ownership to the public via stock-based taxation. The convergence between political opposites highlights growing bipartisan concern over AI-driven inequality.
The proposals emerge amid rising public anxiety: a recent Reuters poll found that about 50% of Americans fear AI could threaten their jobs or those of close relatives. At the same time, major AI firms are approaching or entering public markets, with combined valuations estimated near $4 trillion, creating urgency for policymakers seeking a stake.
Despite massive valuations—OpenAI reportedly around $850 billion and Anthropic nearing $1 trillion—many leading AI firms remain unprofitable. OpenAI alone is projected to lose roughly $14 billion in 2026, raising questions about the viability of dividend-based public income tied to these companies.
Critics warn that acquiring stakes at high valuations could expose the public to significant financial risk. If companies fail to achieve profitability, expected dividends may not materialize, undermining the central promise of shared AI wealth.
Efforts to redistribute AI-driven wealth through public ownership are gaining traction across the political spectrum, but their success hinges on whether highly valued yet unprofitable companies can deliver sustainable returns.