Inside the alternative playbook to AI regulation

According to Axios, the chaotic government vetting of OpenAI and Anthropic's latest models reveals a fundamental problem in U.S. AI regulation: there's no systematic framework for assessing safety risks. Officials approve or block models case-by-case, without clear standards or sufficient government technical expertise—less than one percent of AI PhDs work in government agencies. Industry insiders say that if there had been standardized criteria for evaluating risks like jailbreaking, some of these regulatory battles could have been avoided. The lesson: even deregulation requires foundational structure.

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