No press conference. No announcement during prime time. It’s just a memo that’s making the rounds in federal hallways, but it represents a big change in the way this nation plans to handle artificial intelligence.

President Trump signed an executive order in December 2025 that established what the administration refers to as a “minimally burdensome national policy framework for AI.” This order gave rise to the Task Force. The language has a measured, almost bureaucratic tone. When the legalese is removed, however, it is evident that Washington wants a single AI regulation and wants the states to cease creating their own.

It is noteworthy that the attorney general has been instructed to find and legally contest any state AI legislation that is thought to be at odds with that federal vision. This directive is both broad and somewhat ambiguous.

This might have been inevitable. The Biden administration established safeguards for AI governance, including requirements for transparency, safety testing, and civil rights protections. Almost immediately after taking office in January 2025, Trump’s team abandoned that framework in favor of a new one that holds that innovation is slowed down by regulations, no matter how well-meaning, and that the US cannot afford to lag behind China.

The logic is at least consistent regardless of one’s agreement with that line of reasoning. The AI Action Plan, which was published in July 2025, was an extension of the administration’s more than a year-long directive to agencies to reduce what it sees as needless regulatory friction.

However, the states were not holding out. Each of the three states—Colorado, California, and Texas—passed its own AI laws that address algorithmic accountability, transparency, and, in certain situations, the implications of automated decision-making for civil rights. These laws are still in effect today. They were not dissolved by the executive order.

And for companies that operate across state lines, that’s where the practical headache starts. In Colorado, a company that uses AI-driven hiring software is currently subject to state-level disclosure requirements that could soon directly conflict with a federal framework that views those same requirements as onerous. These kinds of issues are currently being resolved by compliance teams.

As this develops, it’s difficult to ignore the conflict between the administration’s professed objectives and the short-term legal ambiguity it has caused. It is anticipated that the Task Force, headed by Bondi and counseled by White House AI czar David Sacks, will pursue preemption arguments in federal courts to determine whether state AI laws violate existing federal statutes or unconstitutionally burden interstate commerce.

Early battlegrounds will probably be courts in states with active AI legislation. The way federal judges in Colorado or California react to those arguments could establish a precedent that affects the regulatory environment for years to come.

Legal experts’ advice to businesses is pretty straightforward: don’t assume anything has changed yet. State laws are still in effect. It is still necessary to uphold vendor agreements linked to state-specific AI requirements. Programs for compliance should be designed to be flexible, able to quickly adjust as federal policy and court decisions change.

In eighteen months, it’s possible that the situation will look completely different. The cleanest solution would be for Congress to formally preempt state frameworks through national AI legislation, but it’s still unclear if this will happen through years of litigation. Neither result is assured.

In the bigger picture, the nation is genuinely unsure of who should control its most important technology. The federal government has stated its stance clearly. The states aren’t quietly retreating. The companies that are actually developing and implementing AI systems are left to read court documents and rewrite compliance checklists in the middle of that dispute, hoping that things will settle down quickly.

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