OpenAI, Anthropic staff petition US for AI regulation

On July 28, 2026, a thousand employees from leading artificial intelligence companies, including OpenAI, Anthropic, Google, and Meta, petitioned the US government to impose regulation on the AI industry. The letter, signed by workers from these firms, calls for federal oversight to address potential risks associated with advanced AI development.

The signatories, who are directly involved in building AI systems, argue that their insider perspective makes them uniquely aware of the dangers that unregulated AI could pose. They are urging policymakers to act swiftly to establish safeguards, emphasizing that the current pace of innovation outstrips existing legal frameworks.

This petition matters because it represents a significant internal push from within the tech industry for external governance, highlighting a growing concern among AI practitioners about the societal impacts of their work. The employees contend that without regulation, AI could exacerbate issues like misinformation, job displacement, and bias, while also posing longer-term existential risks.

The letter, dated July 28, 2026, specifically gathers signatures from a thousand employees across multiple major AI firms, including OpenAI, Anthropic, Google, and Meta. It does not detail specific regulatory proposals but serves as a collective call for government action.

This move follows a series of public debates and previous calls for AI safety measures from researchers and ethicists, but it is notable for its origin from within the companies themselves. The petition builds on earlier employee activism in the tech sector, where workers have increasingly voiced concerns over ethical practices.

According to the petition, the next steps involve urging Congress and federal agencies to initiate formal rulemaking processes. The signatories hope their collective voice will accelerate legislative efforts, potentially leading to hearings or draft bills aimed at creating a regulatory framework for AI development and deployment.