Commerce Department Evaluation of State AI Laws

Applies To

Overview

Pursuant to a December 11, 2025 Executive Order on National AI policy, the Secretary of Commerce must produce a formal written evaluation by approximately March 11, 2026, cataloguing state-level AI statutes and regulations that are deemed inconsistent with federal AI governance priorities. The evaluation specifically targets two categories of state law: those requiring AI developers or deployers to modify or suppress otherwise truthful AI-generated outputs, and those imposing disclosure obligations that may conflict with First Amendment speech protections. Upon publication, the evaluation serves as a referral mechanism to the AI Litigation Task Force, a federal body authorized to coordinate or initiate legal challenges against conflicting state laws. The evaluation does not itself carry direct preemptive legal force but signals which state laws the federal government may actively contest. Enterprises operating across multiple US states face potential uncertainty as state compliance obligations may be challenged or voided following referral. The scope of laws under review includes both enacted statutes and pending state legislation identified as posing conflicts with national AI policy.

Key Requirements

• •Secretary of Commerce must publish the state AI law evaluation within 90 days of December 11, 2025 (deadline approximately March 11, 2026)
• •Evaluation must identify state laws requiring AI systems to alter or suppress truthful outputs
• •Evaluation must identify state disclosure mandates potentially in conflict with First Amendment protections
• •Identified laws must be referred to the AI Litigation Task Force for potential legal challenge or preemption action
• •Enterprises subject to conflicting state AI laws should monitor the published evaluation for direct impact on their compliance obligations
• •No direct financial penalties attach to this evaluation instrument itself; compliance risk arises from downstream preemption litigation affecting state-law obligations

What Your Organization Must Do

• →Monitor the Department of Commerce publication portal and Federal Register daily starting February 2026 to capture the evaluation when it is released on or before March 11, 2026, and distribute findings immediately to legal, compliance, and product teams.
• →Assign a multistate regulatory counsel to audit all current state AI compliance obligations, focusing specifically on disclosure mandates and output-modification requirements, and flag any that may appear in the Commerce evaluation as preemption targets.
• →Build a dynamic compliance matrix mapping each state AI law your organization currently follows against the two evaluation categories (truthful output alteration requirements and First Amendment-implicated disclosure mandates), and update it within 30 days of the evaluation's publication.
• →Coordinate with outside litigation counsel to assess operational risk for each flagged state law, identifying which compliance postures to maintain, pause, or adjust pending AI Litigation Task Force referral outcomes.
• →Brief the Chief Legal Officer and Chief Compliance Officer within two weeks of publication on which state obligations face preemption risk, distinguishing between enacted statutes and pending legislation identified in the evaluation.
• →Establish a standing regulatory watch process, led by the compliance team, to track AI Litigation Task Force actions quarterly so that any court orders or settlements voiding state laws are reflected in updated operating procedures without delay.

Playbook Guidance

Step-by-step implementation guidance for compliance teams.

Frequently Asked Questions

What is the deadline for the Department of Commerce to publish its state AI law evaluation?

The Secretary of Commerce must publish the evaluation within 90 days of the December 11, 2025 Executive Order, making the deadline approximately March 11, 2026. The evaluation will catalogue state AI laws deemed inconsistent with federal AI governance priorities.

Which categories of state AI laws are targeted by the Commerce Department evaluation?

The evaluation targets two categories: state laws requiring AI developers or deployers to alter or suppress truthful AI-generated outputs, and state disclosure mandates that may conflict with First Amendment speech protections. Both enacted statutes and pending state legislation fall within scope.

Does the Commerce Department evaluation itself preempt conflicting state AI laws?

No. The evaluation does not carry direct preemptive legal force on its own. It functions as a referral mechanism, sending identified state laws to the AI Litigation Task Force, which is authorized to coordinate or initiate federal legal challenges that could ultimately void those laws.

What is the AI Litigation Task Force and what authority does it have over state laws identified in the evaluation?

The AI Litigation Task Force is a federal body authorized to coordinate or initiate legal challenges against state AI laws that conflict with national AI policy. Laws referred to it by the Commerce evaluation may face active federal litigation aimed at preemption, though outcomes depend on court proceedings.

How should multistate AI operators manage compliance obligations while the evaluation and potential preemption actions are pending?

Operators should build a compliance matrix mapping current state AI obligations against the two evaluation categories, coordinate with litigation counsel to assess risk for each flagged law, and establish a monitoring process to track AI Litigation Task Force actions so that any court orders voiding state laws are reflected promptly in operating procedures.

Are there direct financial penalties for non-compliance with the Commerce Department evaluation itself?

No direct financial penalties attach to this instrument. Compliance risk arises indirectly: if the AI Litigation Task Force successfully challenges a state law your organization currently follows, reliance on that law as a compliance safe harbor could be disrupted, requiring rapid operational adjustments.