The White House released its National Policy Framework for Artificial Intelligence on March 20, a four-page document outlining legislative recommendations centered on removing regulatory barriers, accelerating AI deployment, and establishing federal preemption over state AI laws. [1] The framework calls for a light-touch approach — no new regulatory agency, no mandatory pre-deployment testing, no binding safety standards.

Within ten days, six major law firms published client alerts analyzing the document. [2] The National Governors Association published a summary. [3] Norton Rose Fulbright noted the framework's emphasis on preemption — preventing states from passing stricter AI regulations — as its most consequential provision, though the document is a recommendation, not legislation.

The framework's shelf life is the story. Morgan Stanley's mid-March report warned of a transformative AI capability jump in H1 2026. The framework does not address model self-improvement, autonomous agent systems, or compute-scaling thresholds. It was written for a world of chatbots and recommendation engines. The AI that Morgan Stanley describes — models trained on ten times the compute of current systems — is not the AI this document regulates.

The gap between the policy document and the capability timeline is ten days old and growing.

-- ANNA WEBER, Berlin