White House's New AI Review Framework Excludes Open Source Models
Axios reports that the Trump White House's new AI review framework only covers closed-source cutting-edge models and does not include open-source models in its review scope.
The framework will not be publicly released and will undergo a 30-day confidentiality test by multiple departments before its release, focusing on cybersecurity risks.
Buying interest is more inclined towards closed-source large models, computing power, and compliance review services, while selling pressure comes from the open-source camp and those hoping for policy transparency; event-driven funds will first bet on leading labs that can enter the government pre-review process.
Source: Public Information
ABAB AI Insight
This framework continues the Trump administration's consistent approach of "federal primacy, state-level contraction," and is in line with the previous unified framework for state AI laws: first defining what constitutes a "cutting-edge model" through federal review, then concentrating regulatory entry in the hands of a few agencies.
In terms of capital pathways, the inclusion of closed-source models in pre-review means companies like OpenAI, Anthropic, Google, and xAI are more likely to secure policy alignment, compliance endorsements, and government collaboration opportunities; while the exclusion of open-source models effectively locks risk assessment and distribution licenses within a few controllable entities, benefiting cloud, computing power, enterprise security, and model hosting services.
A comparable historical case is the pressure testing and bank licensing review in the financial industry: those who pass the review first gain capital and customer trust. The current AI industry seems to have entered a "licensed expansion" phase, where not all models can compete on the same stage, but rather, they must first meet thresholds before capturing the market.
Essentially, this represents a regulatory change, but the actual effect is a transfer of pricing power: policies redistribute "what can be used, who can release first, and who can receive government orders" back to leading closed-source enterprises; this occurs because the national security narrative shifts the assessment of model capabilities from a technical issue to an access issue.
ABAB News · Cognitive Law
- Rules must be established first for winners to qualify for entry.
- Regulation is not a brake, but a filter.
- Only those who obtain licenses first can gain pricing power.