Trump's AI standards chief resigns after three months in post

Chris Fall, the director of the Center for AI Standards and Innovation (CAISI), has resigned, the agency confirmed to multiple news outlets. No reason was given for his departure. Fall had been appointed just three months ago following a chaotic succession. His predecessor, Collin Burns, left in less than a week in April. According to The Washington Post, Burns was reportedly "pushed out" of the job because he had previously worked for Anthropic, and the Trump administration had been battling with the company. Before Burns, venture capitalist David Sacks, who held the title of White House AI and crypto czar, stepped down in March—making Fall the third director in as many months.

Fall brought substantial government experience to the role. Prior to leading CAISI, he was the director of the Department of Energy's Office of Science during the first Trump administration and had been the acting director of the DOE's Advanced Research Projects Agency-Energy. He also worked in the DOE's Office of Naval Research.

The turnover is occurring as CAISI's formal standing in federal AI governance appears to shift. CAISI, which operates under the National Institute of Standards and Technology, is the primary organization for developing technical standards and testing methods for AI models as well as assessing cybersecurity risks. Yet earlier this month, the White House signed an executive order for a new AI safety oversight program called "Gold Eagle" that creates a clearinghouse for cybersecurity vulnerability coordination. The order named the Commerce Department and Department of Homeland Security among federal organizations involved, but CAISI was not mentioned. Separately, Google DeepMind CEO Demis Hassabis has begun calling for the creation of an independent, industry-run standards body to regulate frontier AI modeled after FINRA—effectively proposing an alternative to CAISI's mission.

The instability at CAISI comes amid intense recent activity in AI policy. In June, the U.S. Commerce Department invoked an export control directive that effectively forced Anthropic to pull its Mythos and Fable models from the market. The ban was lifted by the end of the month when Secretary of Commerce Howard Lutnick said he was satisfied with Anthropic's safety plans. More recently, the administration has been weighing efforts to ban Chinese open models following the release of Moonshot's new version of its open model Kimi, which performed competitively against flagship frontier models, according to Axios. CAISI has released reports on Chinese open-weight models Z.ai's GLM-5.2 and DeepSeek V4 Pro, though it has not discussed much about its testing processes.

The resignation of Chris Fall marks the third leadership change at CAISI in three months—a striking instability for the U.S. government's primary AI standards body at a moment when federal intervention in AI is intensifying. Fall's predecessor Collin Burns departed after just a week, reportedly pushed out over prior ties to Anthropic, which itself faced a temporary export ban from the Commerce Department in June. Before Burns, venture capitalist David Sacks held the role as White House AI and crypto czar before stepping down in March. Fall brought substantial relevant experience, having previously served as director of the Department of Energy's Office of Science and the DOE's Advanced Research Projects Agency-Energy during the first Trump administration, yet no reason was given for his departure.

Paradoxically, while leadership at CAISI churns, the organization's formal role in AI governance appears to be narrowing. The White House signed an executive order this month for "Gold Eagle," a new AI safety oversight program that names the Commerce Department and Department of Homeland Security among its federal partners—but conspicuously omitted CAISI. Meanwhile, Google DeepMind CEO Demis Hassabis has publicly called for the creation of an independent, industry-run standards body modeled after FINRA to regulate frontier AI, essentially challenging CAISI's mandate. The combination of internal instability and external pressure suggests the administration may be recalibrating how it structures AI oversight, even as it steps up intervention in specific cases (such as the recent weigh of efforts to ban Chinese open models).