The government's stated concern about Anthropic being a 'supply chain risk' is not merely a procurement issue. Thompson interprets it as a strategic move to punish the company. The underlying goal is to prevent any entity that won't be 'subservient' to the state from building an independent power base, especially one derived from a technology as potent as AI.

The US government is restricting Anthropic's commercial rollout of its new model, Mythos, over concerns it could hamper the government's own access to compute. This move treats AI capacity as a strategic national resource and effectively creates a de facto licensing system for powerful models, marking a new era of AI governance.

The recent restrictions on allies signal a shift toward a tiered system for frontier AI models, similar to how advanced weaponry is shared. Top US government entities and companies will get first access, followed by a lower tier of close allies, who should not expect unfettered access to the latest American AI capabilities.

The Trump administration's consideration of an FDA-like review process for new AI models signals a trend towards "soft nationalization." This involves government agencies partnering with and overseeing top AI labs to mitigate catastrophic risks and maintain a national security advantage.

Beyond simple security concerns, the US government is poised to use its control over frontier AI model deployment to pursue broader strategic interests. Access could be withheld from allies to gain leverage in unrelated negotiations, such as trade deals, turning AI into a tool of foreign policy.

The government's sudden order for Anthropic to disable its Fable 5 model demonstrates that access to crucial AI tools can be revoked instantly due to national security concerns, creating significant operational risk for dependent companies.

The Department of War is threatening to blacklist Anthropic for prohibiting military use of its AI, a severe penalty typically reserved for foreign adversaries like Huawei. This conflict represents a proxy war over who dictates the terms of AI use: the technology creators or the government.

The White House blocked Anthropic's plan to expand access to its Mythos model, citing compute constraints that could hamper government use. This signals a move towards "soft nationalization": exerting control over private AI resources without a formal takeover.

The Trump administration, initially anti-regulation, completely reversed its stance after seeing the cyber-attack power of Anthropic's 'Mythos' model. They requisitioned decision-making authority, proving that once an AI model becomes a national security threat, even the most free-market government will intervene. This sets a precedent for future AI governance.