The Trump administration has introduced a legislative framework aimed at establishing a unified national policy for artificial intelligence, signaling a shift toward centralized federal oversight. The proposal seeks to preempt state-level AI laws, arguing that a fragmented regulatory landscape could hinder innovation and weaken U.S. competitiveness in the global AI race.
The framework outlines a pro-growth strategy focused on accelerating AI development while introducing a “minimally burdensome” national standard. It limits the ability of states to regulate AI development directly, defining it as an interstate issue tied to national security and foreign policy, while preserving state authority over broader areas such as fraud, zoning, and child protection.
White House AI advisor David Sacks is associated with the administration’s acceleration-focused approach, which emphasizes reducing regulatory barriers. The proposal includes nonbinding expectations for AI safety, such as reducing risks to minors, but does not establish clear enforcement mechanisms or liability structures.
Industry leaders, including Teresa Carlson of General Catalyst Institute, have supported the move as a way to streamline innovation, while critics such as Brendan Steinhauser of the Alliance for Secure AI have raised concerns over limited accountability and reduced state oversight.
