States aren’t waiting. According to PluralPolicy’s governance tracker, 19 new laws regulating AI were passed across US states over a two-week period in April 2026, a pace that runs directly against the White House’s push for Congress to preempt state AI legislation at the federal level.
The White House released a National Policy Framework for Artificial Intelligence in March 2026, recommending that Congress pass legislation preempting state AI laws that impose “undue burdens.” The framework, confirmed via whitehouse.gov, explicitly states: “Congress should preempt state AI laws that impose undue burdens to ensure a minimally burdensome national standard consistent with these recommendations.” The framework addresses child safety, consumer protection, national security, intellectual property, free speech, and innovation as stated policy priorities. What it does not do is preempt anything on its own. A White House framework is a recommendation, not law, actual preemption requires Congress to act.
April’s state-level activity shows that legislatures aren’t holding back while Congress deliberates. Oregon and Idaho chatbot-related bills have been signed into law. California’s AI safety legislation, effective January 1, 2026, already requires frontier AI developers to disclose critical safety incidents and publish safety-related information, according to Brookings Institution analysis. California’s requirements function as a de facto national benchmark for many organizations, developers who want to sell into the California market must comply, regardless of where they’re incorporated.
The compliance picture this creates is genuinely difficult. Organizations deploying AI across state lines now face an expanding patchwork of obligations, and the laws are not uniform. Some address chatbot disclosure. Others target health AI, employment screening, or high-risk automated decision-making. Compliance teams that built their AI governance programs around a single regulatory framework (or around the expectation that federal preemption was imminent) need to revisit that strategy.
Braumiller Law Group’s April 9 analysis on Mondaq places the White House framework in direct tension with this state-level momentum, noting the legal and practical gaps between a policy recommendation and enforceable preemption. The Transparency Coalition and Troutman have also reported on specific state bills moving in April, adding further texture to PluralPolicy’s aggregate figure.
Congressional preemption, if it comes, would mark a significant shift, but the timeline is uncertain and the political dynamics are complicated. Until federal legislation passes, the state-level patchwork is the compliance reality. The 19-law figure from PluralPolicy is a single-source count, and the exact composition of those laws matters for compliance teams, but directionally, the signal is clear: state AI lawmaking is accelerating, not decelerating, in the period immediately following the White House framework’s release.
Compliance teams should be doing three things right now: inventorying which states their AI deployments touch, mapping those deployments against enacted (not just proposed) state requirements, and building monitoring systems for new legislation given the current pace. The federal preemption debate is worth tracking, but betting compliance strategy on its outcome is a risk organizations can’t afford.