On Tuesday, March 11, two federal deadlines converge in a way that will fundamentally alter the AI regulatory landscape for the next several years. The Commerce Department must publish its evaluation of which state AI laws the Trump administration considers "onerous" — effectively naming its legal targets. Simultaneously, the Federal Trade Commission must release a policy statement arguing that certain state AI laws are preempted by federal deceptive-practices law, a theory legal experts describe as untested and constitutionally fraught. Neither document will invalidate a single state law on its own. But together they set in motion a litigation machine that every company deploying or developing AI needs to understand before it starts moving.
The Architecture of the Federal Offensive
The foundation was laid on December 11, 2025, when President Trump signed an Executive Order titled "Ensuring a National Policy Framework for Artificial Intelligence." The order declared it U.S. policy to achieve "global AI dominance through a minimally burdensome national policy framework for AI" — and it didn't attempt to preempt or nullify state laws directly. Instead, it set up a sequenced process of federal agency actions designed to build a legal case for dismantling the patchwork of state AI regulations that has accumulated across 27 states.
The sequence matters because it explains why nothing has happened yet — and why tomorrow changes things. Attorney General Pam Bondi launched the DOJ's AI Litigation Task Force on January 9, 2026, charging it with challenging state AI laws in federal court on grounds including unconstitutional burdens on interstate commerce, preemption by existing federal regulations, and any other basis the Attorney General deems appropriate. But the Task Force was deliberately held back from filing suits. The executive order calls for Commerce to identify the targets first. Tomorrow, Commerce does exactly that.
What Commerce Will Publish — And Why Colorado Gets Named First
Section 4 of the executive order directs the Secretary of Commerce to publish an assessment identifying state AI laws deemed "onerous" and in conflict with the administration's policy. The evaluation focuses on two categories of laws: those that "require AI models to alter their truthful outputs" and those that compel disclosures the administration believes may violate the First Amendment.
Colorado is the only state named explicitly in the executive order itself. Colorado's AI Act (SB 24-205) requires AI deployers to exercise "reasonable care" to prevent "algorithmic discrimination" in high-risk AI systems and is currently scheduled to take effect June 30, 2026. The administration's legal theory is that requiring AI to adjust outputs to mitigate bias effectively forces models to produce outputs that could themselves be characterized as artificially constrained — a First Amendment argument that has never been tested before a federal appellate court.
But the universe of potentially affected laws is far broader. California's Transparency in Frontier AI Act (SB 53) requires frontier model developers to publish safety evaluations. California's Generative AI Training Data Transparency Act (AB 2013) mandates disclosure of training data practices. New York's RAISE Act, signed December 19, 2025, imposes extensive impact assessment requirements on high-risk AI systems. Whether Commerce narrows its list to a handful of major omnibus statutes or casts a wider net across the scores of narrower laws enacted in states during 2025 will be the most closely watched signal of how aggressive the administration intends to be in the near term.
The FTC's Novel and Untested Preemption Theory
The second March 11 deliverable is more legally audacious. The executive order directs the FTC Chairman to issue a policy statement explaining the circumstances under which state laws that "require alterations to the truthful outputs of AI models" are preempted by Section 5 of the FTC Act — the statute prohibiting unfair and deceptive acts or practices in commerce.
The underlying argument is counterintuitive: that state laws requiring AI developers to adjust model outputs to reduce algorithmic bias could, in the administration's view, actually compel the production of outputs that are "deceptive" under federal law. If a state says an AI hiring tool must be tuned to avoid disparate impact by race, the theory goes, that adjustment might cause the model to provide output that misrepresents actual candidate qualifications. The FTC would then argue its deception prohibition preempts the state requirement.
Legal scholars have been skeptical. The FTC Act preempts state law only in specific and narrow circumstances; the theory that Section 5 preempts an entire category of state bias-prevention mandates has no clear precedent. But the significance of the FTC statement is less about its immediate legal force than its signaling function: it gives the DOJ Task Force a second hook for litigation and establishes a public record the administration can cite when seeking injunctions from sympathetic courts.
$21 Billion in Broadband Funding as a Policy Lever
There's a third March 11 deliverable that has received far less attention than the Commerce and FTC actions — but could prove more immediately coercive than either. Section 5 of the executive order directs Commerce to issue a Policy Notice conditioning the remaining Broadband Equity Access and Deployment (BEAD) Program funds — estimated at approximately $21 billion — on states not maintaining "onerous" AI laws.
The BEAD Program was established under the Infrastructure Investment and Jobs Act of 2021 and has been a lifeline for rural broadband deployment across dozens of states. The leverage is real: states that maintain laws Commerce identifies as "onerous" could see their remaining BEAD allocations withheld or clawed back. For states like Colorado and California, the political and economic pressure this creates could be substantial, particularly in rural districts where broadband deployment is an active political priority.
This funding-conditionality strategy is distinct from preemption litigation and could produce compliance pressure much faster than any court process. Governors and state legislatures that might otherwise fight preemption in court for years may find the prospect of losing broadband funding a more immediate negotiating lever.
The Scale of What Commerce Must Address: 78 Bills, 27 States
The volume of legislation Commerce must evaluate is staggering. In the first weeks of 2026 alone, 78 chatbot-related bills have been filed across 27 states, according to an analysis from Baker Botts. Since California's companion chatbot law took effect January 1, 2026, at least six additional states have advanced chatbot legislation past committee or through a full chamber.
The bills span three distinct regulatory models. The first is disclosure-first: California's SB 243 requires operators to identify AI to users, mandate periodic break reminders for minors, and impose "reasonable measures" to prevent harmful content. Washington's SB 5984, which passed the Senate, follows a similar framework but with tighter disclosure intervals and treble damages up to $25,000. The second is use-restriction: New York's S9051 enumerates specific chatbot behaviors prohibited when the user is a minor, including expressing personal opinions or simulating emotional relationships — technically complex mandates that require modifying model outputs, not just adding disclosure layers. The third is criminal prohibition: Tennessee's SB 1493 creates a Class A felony for knowingly training AI to encourage suicide or simulate human emotional relationships.
Whether Commerce addresses all three categories equally, or focuses its "onerous" designation on use-restriction and output-modification laws while leaving disclosure-first regimes alone, will reveal how precise the administration's legal strategy actually is.
The Litigation Timeline: What Happens After Tomorrow
It would be a mistake to read tomorrow's publications as the end of state AI law. The publication of Commerce's evaluation and the FTC's policy statement does not invalidate any existing law. State laws that have already taken effect — including California's and Texas's AI governance frameworks — remain fully enforceable until a court acts. That requires the DOJ to file suit, a court to grant a preliminary injunction, and the injunction to survive appeals. Legal experts estimate that process could take months to years, depending on jurisdiction and the specific legal theories involved.
Analysis from Baker Botts puts the practical compliance challenge plainly: "The regulatory environment is about to become more uncertain, not less." Companies will face a period of genuine ambiguity where some state laws are under active federal challenge but remain legally enforceable, while others aren't targeted but could be swept into litigation at any point.
States that have been proactively structuring their AI legislation with federal carve-outs — as Oregon, Florida, Utah, and Washington have been doing in the sprint to the March 11 deadline — may find their laws more durable. But the breadth of Commerce's list tomorrow will determine whether those carve-outs were targeted precisely enough.
What Companies Should Do Before the Ink Dries
For compliance teams, the three-step action framework from legal analysts is clear: first, map which existing AI-related obligations could be affected by the Commerce list — specifically which state laws govern your deployments in which jurisdictions. Second, prepare contingency compliance programs in case preliminary injunctions are granted in specific states; you'll need to be able to pivot quickly, not scramble. Third, monitor three specific developments: the breadth of Commerce's evaluation, the legal theory the FTC articulates in its policy statement, and whether the DOJ moves quickly from Commerce referrals to actual litigation — and if so, which states it targets first.
Companies should not assume that a law being on the Commerce "onerous" list means they can stop compliance efforts. A law on the list is a law under threat, not a law that's gone. Until a court issues a preliminary injunction, enforcement continues. The cost of non-compliance with a state law remains real even when that law is simultaneously being challenged in federal court.
The broader arc here is one this publication has tracked closely since the executive order dropped in December: the administration is systematically dismantling the multi-state AI governance patchwork, not through preemptive federal legislation, but through a layered campaign of litigation, agency guidance, and funding leverage. Tomorrow, that campaign moves from preparation to execution. How aggressive Commerce and the FTC choose to be in their March 11 publications will determine the pace and scope of what comes next.
This article is part of TTN's ongoing coverage of the federal-state AI governance showdown. Related: States Sprint to Pass AI Laws as the Federal Hammer Nears and America's National AI Law Is Coming — Here's What the White House Framework Will Actually Do.
