On March 11, 2026, the 90-day deadlines set by the executive order President Trump signed on December 11, 2025 — “Ensuring a National Policy Framework for Artificial Intelligence” — come due. The Commerce Department must publish its evaluation of state AI laws and identify which ones it deems “onerous.” The FTC chairman must issue a policy statement on when such laws are preempted by federal law. The White House page’s URL is more candid than the title: “eliminating state law obstruction” of national AI policy.
Why it matters: this is the first time the federal government has turned the suppression of state-level AI regulation into a deadline-driven administrative process with funding attached. For teams shipping AI products into the US market, the compliance map may get redrawn — or tied up in litigation for years.
The December Executive Order: No Repeal, Just Machinery
The order’s stated policy goal is “global AI dominance through a minimally burdensome national policy framework for AI.” Legally, though, it is restrained: the order does not itself preempt, repeal, or invalidate any state law. What it does is sequence federal agency action.
It names Colorado’s AI Act (SB 24-205), which requires developers of high-risk AI systems to exercise reasonable care against “algorithmic discrimination” and takes effect June 30, 2026. The administration’s complaint is that such requirements could force models to alter their truthful outputs. The supporting move landed on January 9, 2026: Attorney General Pam Bondi created the DOJ’s AI Litigation Task Force, tasked with challenging state AI laws on grounds including unconstitutional burdens on interstate commerce and federal preemption. As of early March it had filed no lawsuits — partly because Commerce had to complete its identification first.
The Two Deliverables Due March 11
- Commerce (Section 4): publish an assessment identifying state laws deemed “onerous” — particularly those that “require AI models to alter their truthful outputs,” or that compel disclosures raising First Amendment concerns.
- FTC (Section 7): the chairman must explain when state laws requiring altered outputs are preempted by Section 5 of the FTC Act, which covers unfair or deceptive practices. The administration’s theory is untested in court: state laws mandating output adjustments to mitigate bias could force developers to produce “deceptive” results under federal law.
Together, the two documents form a federal-grade target list plus a legal argument — the list goes to the DOJ to litigate, the theory goes to the courts to decide.
The $21 Billion Leverage
Section 5 hands the administration a tool that needs no courtroom: a Commerce policy notice conditioning roughly $21 billion in remaining BEAD (Broadband Equity, Access, and Deployment) nondeployment funds on states not maintaining such laws.
That is federal funding leverage aimed around the legislative process — no act of Congress, no court order required. For cash-strapped states it is real pressure; for observers of the legal fight, it is the clearest indicator of how far the administration intends to push.
Which State Laws Are on the Risk List
The order names only Colorado’s SB 24-205 directly. Law-firm inventories point to a wider candidate pool: California SB 53 (frontier model transparency), California AB 2013 (training data transparency), New York’s RAISE Act (signed December 19, 2025), plus the spread of state laws on deepfakes, chatbot disclosures, and automated decision-making in employment.
The metric to watch is breadth. A short list targeting a few omnibus statutes means surgical strikes; a list reaching hundreds of narrower laws means total war. The longer the list, the bigger the litigation queue and the uncertainty that comes with it.
What It Means for Engineering and Legal Teams
Start with what does not change: no law has been struck down. California’s, Texas’s, and other state AI frameworks already in effect “remain fully enforceable absent court action.” Actual invalidation requires the DOJ to sue and a court to grant an injunction — a timeline measured in months to years.
Baker Botts’ guidance to companies is sober: keep complying; map which obligations could face federal challenge; build contingency plans for each; and watch three things — the breadth of the evaluation, the FTC’s legal theory, and which state the DOJ sues first. The product-team translation is simpler: for AI products delivered across state lines, the strictest state law still defines your compliance floor, and this federal offensive adds uncertainty rather than clarity. Planning around state-law obligations as tech debt that will be quickly repealed is the easiest trap to fall into in 2026.
Sources
- Ensuring a National Policy Framework for Artificial Intelligence — White House
- March 2026 Federal Deadlines That Will Reshape the AI Regulatory Landscape — Baker Botts
- Federal AI Preemption Takes Center Stage: Key Deadlines, Strategic Risks and Opportunities — Womble Bond Dickinson
AI-assisted summary compiled from the sources above, reviewed by a human before publishing.