Executives from major AI companies, including Google, Anthropic, Meta, OpenAI, xAI, and Nvidia, signed “The White House Accord on Super Intelligence” at an event attended by Donald Trump. This voluntary agreement, described by Trump as an act of “tremendous self-regulation,” promises the companies will implement various safeguards related to AI technology.
The commitments include establishing robust internal controls to monitor AI models, forming dedicated internal teams for this oversight, partnering with external monitors for independent assessments, and ensuring the company boards receive regular reports on these efforts. However, despite these pledges, experts express skepticism about the agreement’s real impact, noting that failures to uphold these commitments may not lead to significant regulatory changes.
Recent discussions about AI regulations have intensified, with the Federal Trade Commission (FTC) announcing investigations into several AI firms for potential consumer protection violations. This comes after these companies sought antitrust exemptions to collaborate on safety measures without facing regulatory scrutiny, a request that some experts argue is unnecessary.
This is not the first attempt by these companies to pledge commitments towards AI safety; a similar set of promises, referred to as the “Frontier AI Safety Commitments,” was made by the UK and South Korea in early 2025. The current White House Accord is seen as a continuation of a broader desire by tech leaders to address the implications of AI technology, though many are disappointed that it lacks the legislative strength needed for comprehensive reform.
Neil Chilson, a former chief technologist at the FTC, suggested that legal consequences might arise if companies fail to meet the standards outlined in the accord. However, observers doubt that any substantial legal actions against these firms will materialize given the political connections of their leadership. The FTC’s investigations may aim to gather information rather than enforce drastic changes.
As these discussions unfold, the accountability of AI firms regarding their commitments and safety practices remains a central concern.
