Federal AI Preemption: The Battle That Could Paralyze Compliance

On December 11, 2025, President Trump issued an Executive Order directing a whole-of-government effort to establish a federal AI policy framework and take steps to preempt state laws that regulate AI. What sounded like straightforward regulatory consolidation is actually a high-stakes legal gamble that's already creating chaos for companies trying to stay compliant.

The core conflict is real: AI lawmaking has been busiest in East Asia and the Pacific region, Europe, and individual U.S. states, with U.S. states passing 82 AI-related bills in 2024. This patchwork is expensive. But the Trump administration's response may be worse than the disease.

The Federal Playbook: Four Levers to Kill State Laws

The Executive Order establishes an AI Litigation Task Force within the Department of Justice, which beginning January 10, 2026, will be responsible for challenging state AI laws in federal court on grounds that they unconstitutionally burden interstate commerce, are preempted by federal regulations, or are otherwise unlawful.

But litigation is just the start. The administration is deploying four complementary strategies:

1. Commerce Department Evaluation (Due March 11, 2026): The Executive Order directs the Secretary of Commerce to publish a comprehensive review of existing state AI laws, identifying those deemed overly burdensome or in conflict with federal policy, particularly laws that require AI systems to alter "truthful outputs" or mandate disclosures that may violate the First Amendment.

2. Funding Weaponization: The Executive Order instructs the Department of Commerce to condition $42 billion in previously allocated broadband infrastructure funding appropriated under the Broadband Equity, Access and Deployment (BEAD) program on the repeal of state AI regulations deemed onerous. This is leverage without litigation.

3. FTC Deception Redefinition: The Executive Order directs the Federal Trade Commission (FTC) to issue a policy statement by March 11, 2026, classifying state-mandated bias mitigation as a per se deceptive trade practice. This directive stems from the AI Action Plan, which prioritized preventing the imposition of ideological constraints on AI development. The Trump Administration's legal theory posits that if an AI model is trained on data reflecting societal patterns, forcing developers to alter the model's outputs to mitigate bias compels them to produce results that are less faithful to the underlying data.

4. FCC Federal Standard: The FCC is directed to initiate a proceeding to determine whether to adopt a federal AI reporting and disclosure standard that pre-empts conflicting state laws.

The problem is that legal scholars across the ideological spectrum see major constitutional vulnerabilities in all four approaches.

Why Legal Preemption Is Unlikely to Stick

Preemption is not automatic. The Executive Order, standing on its own, lacks preemptive force, as it is not a statute enacted by Congress nor a regulation enacted pursuant to congressional authorization.

Likely no basis for preempting significant AI laws exists. The Executive Order does not identify any specific federal laws as capable of preempting the most significant state AI laws—particularly those in Colorado or California. Legal experts conclude that it is unlikely that any federal regime would support a preemption challenge to such significant state AI laws.

The FTC's bias-as-deception theory faces particular skepticism. Policy statements are interpretive rather than binding regulations, and courts may reject the premise that correcting for bias constitutes deception.

Even the FCC route is constrained. The FCC predominantly has the power to regulate "telecommunications services" such as cellphone service, and can only incidentally regulate "information services." AI services typically will fall into the latter category. Where the FCC cannot regulate, it lacks the power to preempt state law too.

The Real Problem: Compliance Uncertainty Itself

But here's what matters more than the legal outcome: the uncertainty is already breaking compliance systems.

In a November 25, 2025 letter, a coalition of 36 state attorneys general urged Congress to oppose proposals that would restrict states from enacting or enforcing laws addressing perceived risks associated with AI. That letter reflects broader resistance among states to federal initiatives that could constrain traditional areas of state regulation, including consumer protection, civil rights, and public safety.

Governors in California, Colorado, and New York issued statements indicating the Order will not stop them from passing, or enforcing, their local AI statutes and regulations. This is not hypothetical: Effective January 1, 2026, California is imposing comprehensive safety requirements on AI companion chatbots under Senate Bill 243. The law targets AI systems providing adaptive, human-like social interactions.

Meanwhile, other states aren't waiting. Six weeks into the 2026 legislative season, 78 chatbot bills are alive in 27 states, reflecting the growing nationwide concern over the dangers of the powerful new technology.

What Companies Actually Face

The legal uncertainty creates a false choice:

  • Comply with state laws: You may be following regulations the federal government wants to kill.
  • Ignore state laws: You may be violating rules that survive federal challenges.
  • Split your products: You can design different AI outputs for different states, but this is expensive and operationally messy.

The DOC's report on "onerous" AI will not be issued until spring 2026, and it has no effect on its own; any impact on the effectiveness of AI statutes will require challenges by the DOJ, agreements between states and executive agencies, or similar resolutions with significant lead times.

As a practical matter, businesses subject to state AI laws should plan to continue to comply with those laws for the time being. But "for the time being" is doing a lot of work in that sentence. How long? Until the Commerce Department report? Until DOJ litigation concludes? Until Congress acts?

Meanwhile, enterprises must account for bias audits in New York, algorithmic transparency in California, child safety protections across multiple states, and now the looming possibility that federal enforcement challenges these requirements as "deceptive."

The Broader Pattern: Deregulation Theatre

This isn't the first federal attempt to kill state AI rules. The issue of state preemption has been the subject of congressional debate throughout 2025. Sen. Ted Cruz, R-TX, offered an amendment to impose a 10-year moratorium on enforcement of state AI laws in the One Big Beautiful Bill Act, although this was defeated in July by a nearly unanimous Senate vote. Policymakers similarly declined to include related language in the FY26 National Defense Authorization Act (NDAA), prompting the administration to pursue executive action rather than continue to wait for Congress.

The executive order is the last resort after Congress repeatedly rejected state preemption.

Key Takeaways

  • The federal government is seeking to take back leadership from the states on AI regulation. The EO aims to establish a uniform federal policy that promotes U.S. leadership in AI, while evaluating and preempting state laws to the contrary—but has weak legal tools to do it.
  • Expect a multi-year legal battle with no clear winner, creating a compliance gray zone where even "good faith" compliance becomes risky.
  • By raising the financial and legal costs and uncertainty associated with enacting and defending state AI laws, the Executive Order may create a deterrent effect that discourages state legislatures from pursuing new regulations, regardless of what the courts decide. This chilling effect may prove more powerful than any court ruling.
  • States will diffuse AI regulation by applying existing consumer protection, unfair competition, deceptive practices and civil rights laws to AI-related conduct. The patchwork doesn't disappear—it just becomes harder to track.
  • Companies building AI in consumer-facing domains (chatbots, pricing, hiring, content moderation) need to assume state AI laws will remain enforceable for at least 12-24 months, while federal legal challenges work through the courts.

References

  1. Executive Order: Ensuring a National Policy Framework for Artificial Intelligence — The White House, December 2025
  2. President Trump Signs Executive Order Challenging State AI Laws — Paul Hastings LLP, December 2025
  3. Examining the Landscape and Limitations of the Federal Push to Override State AI Regulation — Ropes & Gray LLP, March 2026
  4. Executive Order Targets State AI Regulation Through Federal Preemption — McGuireWoods Consulting, January 2026
  5. What the Regulations of 2025 Could Mean for the AI of 2026 — National Law Review, December 2025
  6. New Privacy, Data Protection and AI Laws in 2026 — Pearl Cohen, December 2025
  7. President Trump's Latest Executive Order on AI Seeks to Preempt State Laws — Gibson Dunn, December 2025
  8. Let 2026 be the year the world comes together for AI safety — Nature, December 2025
  9. AI Legislative Update: March 6, 2026 — Transparency Coalition, March 2026
  10. AI Litigation Task Force and Federal Preemption Strategy — Seyfarth Shaw LLP, December 2025