The US government's intervention in Anthropic's model release has established a new regulatory playbook that OpenAI is now preemptively adopting. This signals a shift toward government-gated AI deployment, where companies seek federal approval before releasing powerful new models to a select group of trusted partners.

Anthropic's public calls for a pause on AI development are likely a strategic move. By stoking fear about AI's dangers, the company may be trying to get "nationalized" or create a regulatory moat that secures taxpayer funding and locks out smaller competitors, a classic case of regulatory capture.

When companies like OpenAI and Anthropic pull products due to risk, it's a clear signal that they are unable to self-govern. This action is interpreted as a plea for government oversight, as relying on the social conscience of a few CEOs is an unsustainable model.

The narrative of uncontrollable AI serves large incumbents like OpenAI. They use fear to push for regulations that create high barriers to entry for competitors and shield them from liability, effectively building a government-protected moat around their business.

Leaders from the far-left (Sanders), far-right (Trump), and the AI industry (Altman) are all converging on government equity stakes in AI companies. This rare alignment points to a viable path for managing AI's economic and safety risks, which they term 'GovGPT'.

Amidst regulatory clashes, the Trump administration is reportedly considering taking equity stakes in major labs like OpenAI and Anthropic. This potential move could be a negotiating tactic to gain more control over AI safety and development, representing a significant escalation in government oversight of the technology.

As enterprises replace expensive proprietary models with cheaper open-source alternatives, frontier labs like OpenAI and Anthropic face an existential threat. Their strategic response could be to lobby for regulations that effectively make open-source models illegal, creating a protective moat.

Companies like OpenAI are appealing for government regulation not just for safety, but as a strategy for regulatory capture. Facing a threat from cheaper, open-weight models that erode their revenue, they aim to use regulation to outlaw competitors and secure their market position.

OpenAI's proposal is not a one-off deal but an attempt to set an industry-wide precedent. It frames advanced AI as a national resource, akin to oil, with profits funneled into a sovereign wealth fund for public benefit. This introduces a "tributary capitalism" model where tech giants contribute directly to the state.