The Trump administration’s hands-off approach to artificial intelligence hit a hard wall this spring when Anthropic released Mythos, a frontier model capable of automating sophisticated cyberattacks against financial institutions and the energy grid. What began as a celebration of American innovation quickly devolved into a Situation Room crisis, as Treasury Secretary Scott Bessent briefed Wall Street on the terrifying prospect of laypersons wielding elite hacker capabilities at scale. This event forced President Donald Trump to confront a reality his administration had largely ignored: that private AI labs now possess leverage that can threaten national security, not just boost GDP.

The Mythos Shockwave

Anthropic had briefed the government on Mythos’ capabilities, but the true danger materialized in late March when Microsoft privately warned officials that the model represented a significant leap in automated offensive cyber capabilities. The White House, led by Chief of Staff Susie Wiles, scrambled to establish a policy framework, appointing Sean Cairncross, the National Cyber Director, to lead the effort. Despite Cairncross’s lack of deep technical expertise, he attempted to coordinate a response by circulating a nine-page framework that proposed mandatory 60-day government evaluations for the most advanced AI systems before release.

Industry Pushback and Internal Betrayal

Frontier labs, including OpenAI, Google, and Anthropic, rejected the initial proposal as overly prescriptive, arguing that a mandatory access window would interfere with release cycles. Cairncross pivoted to a voluntary framework, which industry leaders initially supported, leading to a scheduled signing ceremony for May 21. However, the deal collapsed at the eleventh hour when David Sacks, the former AI czar, intervened during a phone call with President Trump. Sacks argued that any regulation slowing American model development would ultimately aid China, prompting Trump to abruptly cancel the event and leaving senior staff blindsided.

The Politics of AI Control

The incident highlighted the administration’s internal contradictions, particularly Trump’s public dismissal of regulatory "guardrails" in favor of his own oversight. In a social media post, Trump mocked Anthropic CEO Dario Amodei, labeling him a "perfect little angel" and asserting that the U.S. does not need external controls for AI. This enmity stems from earlier clashes with the Pentagon over Claude’s use in autonomous weapons and the Mythos crisis, which revealed that the White House lacks a coherent mechanism to balance the speed of technological change with the need for national security safeguards.

Key Takeaways

  • Anthropic’s Mythos model triggered a White House crisis by demonstrating the potential for automated, large-scale cyberattacks on critical infrastructure.
  • The Trump administration attempted to draft a voluntary AI safety framework but scrapped it after former AI czar David Sacks warned it would benefit China.
  • President Trump publicly rejected external AI regulations, claiming his own oversight was sufficient to manage risks posed by frontier models.
  • The collapse of the executive order exposed deep disorganization within the White House, with no single agency holding clear responsibility for frontier AI policy.

The Bottom Line

The Mythos episode proves that the 'innovation first' doctrine is dead; the White House is now learning that frontier AI models are geopolitical weapons that cannot be regulated after the fact. Anthropic’s ability to force a presidential reversal demonstrates that private labs now hold significant leverage over public policy. Without a coherent regulatory framework, the U.S. risks ceding strategic advantage to China in the very AI race it sought to win.