Washington Bets on Federal Preemption: The White House Unveils Its Vision for AI Governance

After years of regulatory patchwork at the state level, the Trump administration made its most detailed move yet to define the federal government's approach to artificial intelligence. The White House released its National Policy Framework for Artificial Intelligence on March 20th, outlining seven sweeping recommendations to Congress that aim to accelerate AI development while limiting the role of individual states in regulating the technology.

Seven Pillars, One Direction

The framework is organized around seven thematic pillars, each carrying specific policy recommendations:

• Protecting Children and Empowering Parents — including bans on collecting children's user data and mandating stronger parental safety controls
• Safeguarding and Strengthening American Communities — protections against AI-enabled scams, fraud, and consumer harm
• Respecting Intellectual Property Rights and Creators — protecting voices and likenesses from unauthorized AI replication
• Preventing Censorship and Protecting Free Speech — blocking federal agencies from coercing AI providers based on "ideological agendas"
• Enabling Innovation and Ensuring American AI Dominance — permitting reform to accelerate data center construction and AI infrastructure
• Educating Americans and Developing an AI-ready Workforce — investment in training and tax breaks for small business AI adoption
• Establishing a Federal Policy Framework Preempting Cumbersome State Laws — the most consequential pillar for the industry

Federal Preemption: The Industry's Top Ask

Perhaps the most significant element of the framework is its explicit call for Congress to preempt state AI regulations that impose what the administration calls "undue burdens." This follows an executive order President Trump signed in December 2025 that instructed federal agencies to block state enforcement of AI rules—now the White House is pushing Congress to codify that approach into law.

Dozens of states had begun passing their own AI governance measures, covering everything from algorithmic hiring tools to AI-generated content disclosures. The patchwork regulatory environment drew persistent criticism from AI companies, which argued that inconsistent state rules would stifle innovation and create compliance nightmares for products deployed nationally.

Per the framework, states would retain authority to enforce generally applicable laws, govern their own government's use of AI, regulate zoning, and oversee infrastructure siting—but broader horizontal AI regulation would become the exclusive domain of the federal government.

A Notable Tension: IP and Copyright

The framework contains a striking internal tension on intellectual property. While it recommends Congress protect creators' voices and likenesses from unauthorized AI reproduction, the administration simultaneously states its core belief that AI scraping the internet for copyrighted material does not violate U.S. copyright law—a position strongly favored by AI developers and sharply contested by publishers, artists, and news organizations.

Industry and Political Context

The framework arrives as AI companies have poured tens of millions of dollars into super PACs targeting candidates who favor AI regulation ahead of November's midterm elections. Critics argue the framework amounts to regulatory capture dressed as policy—eliminating state-level protections without providing equivalent federal enforcement mechanisms.

"Washington appears to be moving toward a framework that is less centered on broad horizontal AI regulation and more focused on child safety, fraud prevention, speech concerns, infrastructure, workforce readiness, and a nationally uniform baseline for AI development," noted legal analysts at Parker Poe following the release.

Whether Congress acts on these recommendations—and how quickly—will determine whether the framework represents a genuine regulatory shift or simply signals the administration's preferred direction. For now, companies are reading it as an early roadmap for what the next several years of U.S. AI governance will look like.