White House Sends Congress Legislative Plan to Federalize AI Regulation

WASHINGTON — The Trump administration on March 20 sent Congress its National AI Legislative Framework, a detailed roadmap intended to establish a unified federal policy for artificial intelligence and preempt the complex patchwork of regulations emerging from state legislatures. The non-binding proposal urges lawmakers to create a national standard for AI governance, arguing that a fragmented, state-by-state approach hinders innovation and harms national competitiveness. The move represents the administration's most direct effort to assert federal primacy over a policy area where states like California, New York, and Colorado have already established their own compliance regimes. For small and mid-sized businesses, the current maze of state-specific AI rules creates significant operational and legal risks. While a single federal standard sounds appealing, the devil will be in the details of any resulting legislation. The framework is the culmination of a strategy outlined in a July 2025 AI Action Plan and formalized in a December 11, 2025, executive order that directed its creation. According to a report from research firm Mintz, this executive-led push follows unsuccessful attempts to insert federal preemption clauses into other major legislation, where the efforts met bipartisan resistance in Congress. David Sacks, who served as the White House’s Special Advisor for AI and Crypto until March 26, 2026, was a central figure in the policy's development. The administration’s core argument, as stated in the framework document, is that the federal government must “prevent a fragmented patchwork of state regulations that would hinder our national competitiveness.” For companies operating across the country, navigating differing state laws on data privacy, algorithmic bias, and disclosure requirements has become an increasingly costly and complex challenge. The proposal lays out seven key objectives for Congress to address through legislation. These recommendations span child protection, securing AI infrastructure, clarifying intellectual property rights, preserving free speech, and promoting workforce development. One notable recommendation suggests Congress provide AI resources directly to small businesses through grants, tax incentives, and technical assistance programs to encourage wider adoption. Central to the framework is the call for Congress to preempt state laws that “impose undue burdens.” However, the document also seeks to respect principles of federalism by proposing carve-outs. States would retain their traditional police powers to enforce laws of general applicability, such as those preventing fraud or protecting consumers and children. States would also maintain authority over local matters like zoning. In our experience, regulatory uncertainty is one of the biggest drags on growth for mid-sized companies. Waiting for Congress to act is not a viable strategy when states are creating compliance obligations today. Businesses need to proactively audit their use of AI tools—from marketing to HR—and reengineer processes to align with the strictest applicable standards, which for now remain at the state level. This is precisely the kind of complex operational challenge that our business process reengineering services help clients navigate. To build a resilient compliance posture in this evolving landscape, contact C&S Finance Group LLC at csfinancegroup.com for guidance. The framework also delves into specific, emerging issues. It suggests Congress consider establishing a federal system protecting individuals from the unauthorized commercial use of AI-generated digital replicas of their voice or likeness, while providing clear exceptions for parody, satire, and news reporting. For intellectual property, it recommends exploring licensing frameworks that would allow rights holders to collectively negotiate compensation from AI developers without facing antitrust liability. Despite its detailed recommendations, the framework leaves several critical questions unanswered. According to an analysis by Georgetown's Center for Security and Emerging Technology, the proposal to preempt state laws governing “activity that would be lawful if performed without AI” is particularly ambiguous. It is unclear if this broad language would prevent states from regulating the use of AI in high-risk areas like hiring, lending, or healthcare decisions. Because the framework is a non-binding set of recommendations, existing state regulations in California, New York, and elsewhere remain fully in effect. The document is a wish list sent to Capitol Hill, and its proposals will only become law if Congress drafts, debates, and passes corresponding bills. Meanwhile, states are not standing still. On March 30, just ten days after the federal framework was released, California Governor Gavin Newsom issued an executive order directing state agencies to develop AI safety and ethics requirements for companies doing business with the state. Ultimately, whether the rules come from Washington D.C. or state capitals, the core challenge remains the same: integrating new technologies responsibly without stifling innovation. We advise clients to focus on building adaptable internal governance frameworks now, which will serve them regardless of the final regulatory outcome. With the framework now in the hands of lawmakers, the focus shifts to Congress. Industry stakeholders, civil liberties groups, and state governments will be closely watching to see which, if any, of the White House’s proposals gain traction and are introduced as formal legislation, setting the stage for a protracted debate over the future of AI regulation in the United States.