U.S. Government Shuts Down Anthropic's Claude Fable 5 and Mythos 5 Globally
Trump administration ordered Anthropic to disable Claude Fable 5 and Mythos 5 globally, citing national security concerns over bypassed safeguards.
"The government just pulled the plug on Anthropic's most powerful models three days after launch. The AI industry's deployment playbook may never look the same again."
The Trump administration issued an emergency export control directive on Friday, June 12, 2026, ordering Anthropic to immediately suspend global access to its two newest AI models — Claude Fable 5 and Claude Mythos 5 — just three days after their launch. The directive, delivered via a Commerce Secretary letter to CEO Dario Amodei, prohibits access by any foreign national, whether abroad or within the United States.
The government's decision was triggered by the discovery of a technique capable of bypassing Fable 5's safety guardrails, potentially exposing the advanced cybersecurity capabilities embedded in Mythos 5. Anthropic complied by disabling both models for all customers globally to ensure full compliance, while confirming its remaining model lineup remains unaffected. Crucially, officials did not share specific details of the national security threat with Anthropic.
Anthropic pushed back sharply, warning that applying this standard industry-wide 'would essentially halt all new model deployments for all frontier model providers.' The episode marks a significant escalation in U.S. government intervention in frontier AI deployment and sets a precedent that could reshape how advanced models are launched and distributed globally.
This is the first known instance of the U.S. government forcing an immediate global shutdown of newly launched frontier AI models, signaling that national security reviews may become a standard gate for advanced AI releases. Businesses and enterprises that planned to integrate Fable 5 or Mythos 5 into workflows face immediate disruption. Executives across the AI supply chain should expect tighter compliance requirements and potential deployment delays for cutting-edge models going forward.
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