Anthropic Unveils $200 Million Fund to Study AIs Economic Impact, Calls for Universal Basic Income
On Wednesday, Anthropic revealed a $200 million pledge to create an Economic Futures Research Fund. The capital will back trials and program evaluations of public policies that the company believes could mitigate the labor‑market effects of advanced AI. The fund is positioned as a partnership with the Bill & Melinda Gates Foundation, which will help broaden AI applications in global health, life sciences, education, and economic mobility over the next four years.
The announcement followed a lengthy essay posted by Anthropic’s CEO and co‑founder, Dario Amodei, on his personal website. In the piece, Amodei warns that AI could trigger longer‑lasting disruptions than past technological shifts. He cites current U.S. unemployment at 4.3 % and projects scenarios where the rate could rise to 5 %, 10 %, or even an “unprecedented” level. To address potential job displacement, Amodei proposes a set of policy measures: more detailed data collection on AI‑related job loss, pro‑employment incentives, and mechanisms such as universal basic income (UBI). He suggests that UBI could be financed through taxes on “relevant companies” or by raising the capital‑gains tax.
Alongside the research fund, Anthropic announced a $150 million national fellowship program aimed at early‑career professionals. The fellowship is described as a way to “extend the benefits of AI to communities across America,” and it will provide grants, mentorship, and access to Anthropic’s research infrastructure.
Amodei’s policy framework also tackles safety and security. He calls for the government to have the authority to block or deter the rollout of AI models that pose a significant risk of catastrophic harm. The proposal mirrors the Federal Aviation Administration’s regulatory model, arguing that AI systems should undergo technical testing and auditing before release, much like aircraft, automobiles, and drugs.
The policy brief entered a broader conversation that began earlier in the week. OpenAI announced plans for an initial public offering and reiterated its goal of ensuring the benefits of AI are “widely shared.” CEO Sam Altman recently met with Senator Bernie Sanders to discuss a plan that would allow the public to take an ownership stake in AI companies, using stock to build a public wealth fund.
President Donald Trump also weighed in. In the Oval Office on Wednesday, he said he would soon meet with executives from several leading AI firms to discuss “giving back” to the public and noted that such an arrangement would make the public “very rich.” Trump’s remarks follow an executive order on AI oversight that establishes a framework for the government to vet national‑security risks of advanced AI systems for up to a month before public release.
Anthropic’s proposals reflect a growing trend of AI firms engaging directly with policymakers on the economic and societal implications of large language models. Founded in 2021 by former OpenAI researchers, the company has built a reputation for safety‑first engineering. Its Claude series of models has been released in multiple sizes, and Anthropic has faced regulatory scrutiny over its use of AI for surveillance and autonomous weapons.
While the exact allocation of the $200 million research fund remains unspecified, Anthropic says it will support “major research trials and program evaluation on promising public policies.” The company’s broader strategy includes moving toward an IPO, similar to OpenAI and SpaceX, and establishing a national fellowship program to broaden AI’s reach.
Amodei’s framework outlines a three‑tier model for economic disruption: a 5 % unemployment scenario, a 10 % scenario, and an unprecedented scenario that would require permanent support mechanisms such as UBI, sovereign wealth models, or equity‑sharing mechanisms. The proposal calls for the government to match the rigor of existing safety regulations for aircraft, automobiles, and drugs.
In sum, Anthropic’s announcement signals a willingness among AI firms to invest in research that could shape public policy on job displacement, safety, and economic equity. The company’s call for UBI and its emphasis on rigorous testing of AI systems underscore a broader industry debate about balancing innovation with societal impact. The next steps will involve U.S. government review of the policy proposals, industry assessment of the suggested funding mechanisms, and regulator deliberation on how best to implement the proposed safety standards. As the AI sector continues to evolve, the outcomes of these discussions will likely influence the pace and nature of AI adoption across the economy.