House Panel Split on State AI Laws as Experts Call Broad Federal Preemption Reckless

Congress weighs a federal AI baseline vs state control as preemption divides. Expect a national floor, state enforcement, and executive funding pressure ahead.

Categorized in: AI News Legal
Published on: Sep 19, 2025
House Panel Split on State AI Laws as Experts Call Broad Federal Preemption Reckless

AI at a Crossroads: State Authority, Federal Power, and the Next Move for Counsel

Members of the House Judiciary Subcommittee on Courts, Intellectual Property, Artificial Intelligence, and the Internet convened to debate one question with real legal bite: should AI policy be driven by states or by a single federal framework? The session - "AI at a Crossroads: A Nationwide Strategy or Californication?" - surfaced a shared desire for federal rules, but split sharply on how far preemption should go.

This followed the Senate's decisive 99-1 rejection of a proposal to bar states from enforcing their own AI laws for 10 years. The policy fight has since shifted to the executive branch, where a federal AI Action Plan proposes cutting funds to states with rules deemed "burdensome" or "unduly restrictive."

Common Ground: Federal Baselines, Guardrails for Harm

All four witnesses agreed on the need for a federal framework and acknowledged the duty to prevent harm, particularly to children. They also agreed innovation and oversight must coexist - the dispute is over who sets the terms and how far those terms reach.

The Case for Strong Federal Uniformity

Kevin Frazier, of the University of Texas School of Law, argued that state AI laws impede interstate commerce and risk extraterritorial effects, citing principles of equal sovereignty. He pointed to California's expansive approach and warned that one state's training rules could effectively control national development.

Adam Thierer of the R Street Institute pressed for a coordinated national approach to avoid a patchwork that raises compliance costs, especially for smaller firms. He drew a parallel to the Internet Tax Freedom Act, which curbed state taxation of internet access and, in his view, cleared the way for digital growth.

Thierer suggested Congress either adopt a moratorium or preempt specific state and local mandates that burden "interstate algorithmic commerce," prioritizing preemption of frontier model regulations where local benefits are outweighed by national costs.

The Case Against Broad Preemption

Neil Richards of Washington University in St. Louis countered that state AI laws to date are consumer-protection focused and that sweeping preemption would be "reckless." His position: harms are certain, their form is not, and taking state tools off the table ignores a clear risk.

Richards also pushed back on the idea that regulation blocks prosperity. Law enables markets by setting predictable ground rules and curbing unfair practices. With AI moving fast, he argued, no new rules would be the worst outcome.

Legal Fault Lines for Counsel to Track

  • Extraterritoriality and the Dormant Commerce Clause: Expect challenges where a single state's rules functionally govern multi-state model development or deployment.
  • Equal sovereignty: Watch for arguments that sector-specific burdens imposed by one state amount to de facto national control.
  • Conditional spending: The AI Action Plan's proposal to revoke federal funds for "burdensome" state AI rules invites Spending Clause and anti-coercion scrutiny.
  • Frontier models vs. applications: Any federal preemption may differentiate between upstream model training and downstream use cases, with different liability and compliance footprints.
  • Children's safety and consumer protection: Even preemption advocates acknowledged harm risks; expect targeted federal minimums with state enforcement backstops.

Action Items for In-House and Outside Counsel

  • Map exposure: Inventory where your AI training, fine-tuning, and deployment intersect with state rules that could have extraterritorial reach.
  • Tier your compliance: Build a core federal-ready program, then add state-specific controls for high-risk jurisdictions to reduce rework if preemption stalls.
  • Contract for agility: Bake change-management clauses into vendor agreements for model updates, provenance, and audit rights if state or federal rules shift.
  • Document risk analyses: Maintain written assessments for child safety, bias, and deceptive practices to prepare for inquiries by state AGs and federal regulators.
  • Engage early: Submit comments on proposed rules and track committee activity; early clarity can save a costly retrofit later.

What to Watch Next

Congress could revisit a time-limited moratorium, target preemption at frontier models, or set a federal floor with room for state enforcement. The executive branch may test conditional funding levers against states deemed too restrictive - a likely litigation magnet.

For legal teams, the play is straightforward: prepare for a federal baseline, don't bet on total preemption, and keep state-readiness alive for consumer protection and child-safety regimes.

Further learning for legal teams building AI literacy: Explore role-based programs at Complete AI Training - Courses by Job.