FTC and Commerce Department Face March 11 Deadline to Define Federal AI Policy as DOJ Task Force Prepares to Challenge State Laws

Overview

Three days from now, on March 11, 2026, two executive-order deadlines converge that could reshape how the United States regulates artificial intelligence. The Federal Trade Commission must publish a policy statement explaining how Section 5 of the FTC Act—its core prohibition on unfair and deceptive practices—applies to AI models, and whether that authority preempts state laws requiring companies to alter AI outputs. Simultaneously, the Secretary of Commerce must deliver a comprehensive evaluation identifying state AI laws deemed overly burdensome, flagging them for potential legal challenge by the Department of Justice’s newly formed AI Litigation Task Force. Together, the two actions could trigger the most significant federal-state regulatory confrontation over AI governance to date.

What We Know

The Executive Order

President Trump signed “Ensuring a National Policy Framework for Artificial Intelligence” on December 11, 2025, establishing a policy of “sustaining and enhancing the United States’ global AI dominance through a minimally burdensome national policy framework.” The order set 90-day deadlines for three parallel tracks:

• FTC policy statement: The FTC Chairman must describe how the FTC Act applies to AI and explain the “circumstances under which State laws that require alterations to the truthful outputs of AI models are preempted” by federal consumer protection law.
• Commerce Department evaluation: The Secretary of Commerce must publish a report identifying state AI laws that conflict with federal policy, particularly those requiring AI models to alter truthful outputs or compelling disclosures that may violate First Amendment protections. Laws flagged in this report can be referred to the DOJ for litigation.
• DOJ AI Litigation Task Force: Attorney General Pam Bondi announced the task force on January 9, 2026, staffing it with lawyers from the Civil Division and the Office of the Solicitor General. The task force will consult White House AI and crypto czar David Sacks on which state laws to challenge in federal court.

The executive order also introduced a financial lever: the Commerce Department can condition remaining Broadband Equity Access and Deployment (BEAD) program funds on states avoiding AI laws the administration considers “onerous.”

State Laws in the Crosshairs

At least three states have enacted AI-specific legislation that the federal government has signaled it may target:

• Colorado’s AI Act (SB 24-205): Originally set for February 1, 2026, its effective date was delayed to June 30, 2026 after Governor Jared Polis expressed concerns about compliance burdens. The law requires developers and deployers of high-risk AI systems to exercise “reasonable care” to prevent algorithmic discrimination in consequential decisions involving employment, housing, healthcare, and financial services. Colorado’s AI Task Force has warned that key definitions—including “algorithmic discrimination” and “consequential decisions”—remain contested.
• California’s Transparency in Frontier AI Act (TFAIA): Effective January 1, 2026, the law requires developers training frontier models (those using more than 10^26 computing operations) to publish a “Frontier AI Framework” addressing catastrophic risks, including cybersecurity protections and third-party audits. California also enacted laws on AI training data transparency (AB 2013), healthcare AI disclosure (AB 489), and companion chatbot safety (SB 243).
• Illinois (HB 3773): Amends the Illinois Human Rights Act to prohibit employers from using AI systems that result in unlawful discrimination.

The FTC’s Legal Constraints

Whether the FTC can actually preempt state AI laws is a matter of significant legal debate. Andy Jung, associate counsel at TechFreedom, argued in TechPolicy.Press that the agency faces at least three hurdles:

1. No express preemption language: Section 5 of the FTC Act contains neither explicit preemption provisions nor field occupation. Courts apply a “presumption against preemption” requiring clear Congressional intent, which the FTC Act does not provide.
2. Procedural barriers: Any rulemaking must follow both the Administrative Procedure Act and the Magnuson-Moss Act, requiring advance notice, public comment, regulatory analyses, and hearings—a process that typically takes multiple years.
3. Jurisdictional limits: Section 5 only regulates deception “in or affecting commerce.” Non-commercial AI outputs may be classified as subjective expression rather than commercial speech, falling outside the FTC’s deception authority.

Jung also noted that the executive order’s premise—that states have passed laws “requiring entities to embed ideological bias within models”—does not correspond to any law currently in effect.

What We Don’t Know

Neither the FTC policy statement nor the Commerce Department evaluation has been published as of March 8, with three days remaining before the deadline. Several key questions remain unanswered:

• Will the FTC assert broad preemptive authority, or issue a narrow statement acknowledging the legal constraints on its power? A nonbinding policy statement carries less force than a formal rule, and courts are not required to defer to it.
• Which state laws will the Commerce evaluation flag? Colorado’s AI Act is widely expected to appear on the list, but it remains unclear whether California’s suite of AI laws or Illinois’ employment discrimination provisions will also be referred to the DOJ task force.
• Will the DOJ actually file lawsuits? The task force has the authority to challenge state laws on grounds of unconstitutional regulation of interstate commerce, federal preemption, or other legal theories. But no suits have been filed to date, and the Dormant Commerce Clause strategy faces uncertain prospects given recent Supreme Court precedent.
• How will states respond? Colorado delayed its AI Act once already; further federal pressure could lead to additional postponements or amendments. Alternatively, states may argue that the executive order itself exceeds presidential authority by attempting to preempt duly enacted state legislation without Congressional action.

Analysis

The March 11 deadlines mark the moment when the Trump administration’s AI deregulation strategy moves from policy declaration to operational execution. The executive order laid out the framework; the FTC statement and Commerce evaluation will provide the specific targets.

The collision is structurally significant. In the absence of comprehensive federal AI legislation, states have moved to fill the vacuum. Colorado, California, Illinois, and Texas have each enacted or strengthened AI-specific laws addressing algorithmic discrimination, frontier model transparency, and employment fairness. The executive order now positions the federal government not as a complementary regulator but as an adversary to state-level oversight, backed by the DOJ’s litigation capacity and BEAD funding leverage.

Yet legal scholars have raised doubts about the enforceability of this approach. Executive orders cannot preempt state law on their own—only federal statutes or valid federal regulations can do that. A nonbinding FTC policy statement is neither. The administration’s strongest tool may be the DOJ task force’s ability to bring individual lawsuits, but each case would need to survive judicial scrutiny on its own merits.

For companies developing and deploying AI systems, the immediate effect is regulatory uncertainty. Businesses operating in Colorado, California, or Illinois cannot safely ignore state compliance obligations based on a federal policy statement that may or may not withstand legal challenge. The result is a compliance limbo that neither federal nor state authorities have yet resolved.