Congress to Write the AI Rulebook

Congress must draft the AI rulebook—now.

The White House rolled out the National Policy Framework for Artificial Intelligence on March 20, a document designed to align Congress around a federal standard rather than a patchwork of state laws. Policy documents show the framework explicitly calls on Congress to enact federal legislation that matches the administration’s AI goals, aiming to set a uniform national approach rather than a mosaic of state-by-state rules.

The framework builds on the December 2025 executive order, which directed senior White House officials—the Special Advisor for AI and Crypto and the Assistant to the President for Science and Technology—to prepare legislative recommendations that would establish a consistent federal policy for AI. In effect, the administration is turning a policy blueprint into a legislative demand, a move the commentary surrounding the framework frames as a way to move beyond aspirational statements toward enforceable standards.

A key aim, according to the plan, is federal leadership that preempts state AI regulation. The December order and now the framework together signal a preference for a single national spine for AI rules, not a tangle of state regimes with divergent requirements. The framework arrives after at least two attempts to block state AI laws through moratoriums, attempts that failed to gain lasting traction in Congress. In other words, the administration is shifting from blocking state action to inviting Congress to craft a federal framework that would supersede it.

For industry and compliance professionals, the implications are immediate but not instantaneous. The framework is a call to action, not an enactment. Legislative text would be needed to define what counts as obligations, what entities are covered, and what penalties (if any) would apply for noncompliance. Until Congress acts, the market faces ongoing uncertainty about how a federal standard would interact with existing sector rules, state innovations, and the pace of AI deployment across sectors like healthcare, finance, and transportation.

Two concrete practitioner tensions stand out. First, the push for a uniform federal standard promises regulatory certainty for big players seeking scale across the United States, but it risks stifling regional experimentation and the bespoke requirements of niche sectors if the federal rules come down too hard or too slowly. Second, the scope of preemption—how broadly federal law would override state rules—will be fought out in committees. If Congress enacts a strong preemption, it could accelerate nationwide deployment and reduce compliance complexity; if it’s narrower, states may retain key policy levers around data governance, transparency, or safety testing, creating a two-track compliance challenge for firms operating nationwide.

What to watch next? Expect hearings and markup as Congress translates the framework into draft language. Look for debates over enforcement mechanisms, funding for federal AI oversight, and the balance between safety, transparency, and innovation incentives. Watch whether the administration pushes for a centralized regulatory body or relies on existing agencies to enforce a new, unified standard. And keep an eye on cross-border implications: as the U.S. clarifies its stance, international partners will assess how a federal framework aligns with EU rules and other global norms.

Ultimately, this is less a completed rule than a roadmap—one that could reshape how every company builds, trains, and deploys AI across the country.