After industry pushback, the White House has clarified it is not pursuing a new, FDA-style bureaucracy for AI model approval. Instead, the administration is focusing on direct, ongoing collaboration with major AI labs to mitigate extreme risks before models are released, favoring a flexible partnership over rigid regulation.

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.

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.

Federal and state governments are massive customers of technology. Instead of relying solely on legislation, they can use their procurement power to enforce AI safety and ethical standards. By setting strict purchasing requirements, they can compel companies to build more responsible products.

Major AI companies are not solely seeking to stifle competition with regulation. They are also signaling an inability to self-regulate amidst intense competitive pressure, effectively asking external bodies to impose a mandatory safety floor that applies to everyone.

Instead of establishing clear regulations, the White House is intervening directly in AI rollouts, limiting access to new models like OpenAI's on a case-by-case basis due to national security. This high-touch approach gives the government immense control but creates uncertainty and is viewed by some safety advocates as a 'worst of both worlds' scenario.

Instead of an outright ban on models like China's Kimi K3, the US government is more likely to use "soft law" tactics. This involves pressuring chokepoints like US-based data centers and hyperscalers to restrict the hosting and deployment of these foreign models.

Rather than an outright ban on Chinese AI models, the US administration is expected to use procurement rules, entity list threats, and public pressure campaigns to discourage American companies from using them. This "soft ban" approach focuses on highlighting security risks and promoting a domestic open-source ecosystem.

The U.S. government is not pursuing a single, heavy-handed regulatory regime. Instead, it favors a voluntary framework for most AI while implementing direct, pre-release oversight specifically for the most powerful "frontier" models to manage national security and intellectual property risks.