WASHINGTON, D.C. – On July 23, 2025, the White House unveiled its AI Action Plan, a sweeping federal roadmap that includes a sharp warning to states: laws deemed “burdensome” to AI innovation could trigger loss of federal funds. This escalation has already drawn fire from state legislatures including California, Utah, and Massachusetts raising urgent questions about whether the federal government can constitutionally override state control in AI policy.

In states like Colorado and Tennessee, AI transparency, anti-bias, and deepfake laws have passed in recent years. Under the Action Plan, these laws may now be interpreted as obstacles to federal AI objectives, potentially putting their funding at risk.

State Lawmakers Push Back

California, despite vetoing a major AI safety bill (SB 1047) in 2024, remains a hotbed of legislative momentum. Lawmakers there say they will introduce a new version of the bill that includes mandatory safety evaluations for frontier AI systems and fines for noncompliance. In Massachusetts, Senator Ed Markey has joined a coalition of 260 legislators opposing any federal moratorium on state-level AI laws, calling the federal plan “an attack on democratic self-governance.”

These moves echo a broader pattern: bipartisan state resistance. Republican leaders in Utah and Tennessee have criticized the Action Plan as federal overreach. Even Rep. Marjorie Taylor Greene (R-GA) called it “a D.C. power grab that disrespects voters.”

Federal Power Has Limits And There’s Precedent

Legal battles over education policy, internet regulation, and marijuana enforcement have shown that the federal government can’t always force states into compliance especially when it tries to use money as leverage. For example, when the federal government tried to cut Medicaid funding from states that refused to expand coverage under the Affordable Care Act, the Supreme Court ruled it unconstitutional. That case, NFIB v. Sebelius (2012), established that federal funding conditions can’t be so extreme that they “coerce” states into giving up their decision-making authority.

This ruling built on an earlier case, South Dakota v. Dole (1987), which allowed Congress to set conditions on federal funds like requiring states to raise the drinking age to receive highway money but only if those conditions meet three key tests:

• They must be clearly stated in advance
• They must be directly related to the purpose of the funds
• They cannot be overly coercive

These limits come from the Spending Clause of the U.S. Constitution Article I, Section 8, Clause 1 which gives Congress power to spend for the “general Welfare.” But courts have ruled that this power isn’t unlimited. Conditions on funding must be fair, clearly defined, and tied to the program’s purpose.

Legal experts warn that the AI Action Plan may violate these standards. It threatens to withhold funding from states with AI laws labeled “burdensome,” but it doesn’t define what that term means, and it may apply these penalties to laws that were passed before the plan existed. “The federal government can’t just retroactively pull funding from states for laws already on the books,” said legal scholar Byron Davis. “That violates the clear notice and related purpose requirements under the Spending Clause.”

Because of this, states like California, Massachusetts, and Tennessee may argue that the federal government is using unclear and excessive financial threats or coercion to override state authority a strategy that past courts have already rejected.

Legal Limits to Federal Preemption

Under constitutional law, the federal government can attach conditions to funding but only if those conditions:

• Are clearly stated in advance
• Relate directly to the purpose of the funded program
• Do not coerce states into abandoning their powers

The AI Action Plan is vague on how “burdensome” will be defined. Without clarity, states may sue, claiming that the federal government is making after-the-fact threats tied to ambiguous criteria. “It opens the door to litigation,” says civil rights lawyer Nia Patel. “Especially if funding cuts target laws passed months or years prior.”

In 2018, federal efforts to invalidate state net neutrality laws failed due to similar legal arguments. Education reform efforts have also been scaled back when funding threats proved legally unenforceable. States may use these cases as precedent to resist Washington’s AI push.

What’s at Stake for States

Many states have passed AI laws tailored to local values. Colorado requires bias audits. Tennessee protects likeness rights against unauthorized deepfakes. Massachusetts has proposed opt-in consent requirements for AI surveillance. These efforts could be invalidated if the Action Plan is implemented aggressively.

States argue that their laws are not anti-innovation but protective. “People want transparency, not trickery,” said Utah State Senator Maria Yang, who co-sponsored SB 149. “Our law ensures citizens know when they’re talking to a bot.”

Meanwhile, federal procurement rules could reshape how companies build AI models. The Action Plan proposes banning “ideologically biased AI” in government contracts, a term with no legal precedent. Critics warn this could chill academic freedom and innovation by forcing developers to meet undefined political tests.

What Comes Next?

Lawsuits are likely. Attorneys general in multiple states are already exploring options to challenge the AI Action Plan’s legality. Congress may also intervene by refining the plan’s language either narrowing or expanding federal authority.

For companies building in AI, this creates legal uncertainty. Will complying with state laws disqualify them from federal funding? Should they pause compliance planning? “Until courts weigh in,” says law professor Alicia Kim, “developers will live in limbo.”

One option is cooperative federalism where states and federal agencies co-create a shared framework. But with rising political division and vague policy language, that outcome remains uncertain.

For now, policy professionals, compliance teams, and developers must prepare for parallel regimes: one federal, one state, and both on a collision course. If courts side with the states, the AI Action Plan may need a rewrite or risk becoming the next net neutrality-style failure.

States Are Likely to Win Legal Ground

The evidence suggests that states challenging the AI Action Plan have solid constitutional arguments. Because the plan threatens funding without clearly defined terms or consistent legal precedent, courts may find it violates the Spending Clause of the U.S. Constitution. If lawsuits move forward, states like California and Massachusetts could force the federal government to revise or limit enforcement of the plan’s preemption clauses.

For readers new to this issue, this means your state government may still be able to protect your data, demand algorithm transparency, or regulate AI-generated media even if the federal government disagrees. What happens in the next few months could shape whether AI is regulated more by Washington, D.C., or by the communities where people actually live and work.

Key Takeaways

• The AI Action Plan threatens to remove federal funds from states with strict AI laws, but vague terms may violate constitutional limits on federal power.
• States face legal uncertainty due to undefined terms like “burdensome,” which may trigger lawsuits, stalled funding, and unclear guidance for developers and regulators.
• Legal experts predict courts may side with states, meaning local laws on bias, safety, and transparency could survive despite federal opposition or incentives.

FAQs

What is the AI Action Plan and why does it matter?

The AI Action Plan is a federal policy introduced by the White House in July 2025. It outlines national goals for artificial intelligence (AI), including speeding up innovation and limiting laws seen as restrictive. Critics say it could override state protections on data, bias, and transparency, making it a major battleground for tech regulation in the U.S.

Can the federal government block state AI laws?

In theory, the federal government can limit funding to states that don’t comply with national policies. But courts have ruled that conditions must be clearly related, announced in advance, and not coercive. If the federal government punishes states for existing laws, it may violate constitutional limits under the Spending Clause.

What should businesses or developers do if state and federal laws conflict?

Developers should track state policies closely and consult legal experts on compliance risk. Until courts or Congress clarify the rules, companies may need to follow both federal guidance and state laws especially on issues like algorithmic bias, data transparency, and labeling AI-generated content.

Keep Reading

• Why States Are Fighting the AI Moratorium Bill – Learn why lawmakers in multiple states say a federal AI pause could block essential protections for health data, civil rights, and local innovation.
• How States Are Regulating Deepfakes in 2025 – Understand how new laws in Tennessee, Texas, and Colorado aim to protect people from manipulated video and audio in elections, media, and education.
• What Are AI Bias Audits and Which States Require Them? – This article breaks down which states are mandating fairness tests for AI models and what companies need to do to stay compliant.
• AI Action Plan: What’s In It and Who It Affects – A beginner-friendly guide to the federal government’s plan for AI, including its goals, critics, and what it means for schools, hospitals, and startups.
• Can the Government Use AI Funding to Control States? – A legal deep dive into the Spending Clause, past court decisions, and why the current AI funding plan may be challenged in court.
• State vs. Federal Power in AI: Who Decides What? – Explore how U.S. history in education, healthcare, and tech shows a long pattern of state resistance and what it means for AI today.