Bipartisan House Bill Proposes Sweeping 269-Page Federal AI Framework
Reps. Obernolte and Trahan unveiled the Great American Artificial Intelligence Act, a 269-page federal AI regulation draft.
"Washington just dropped a 269-page AI rulebook. Big tech, your grace period is officially over — federal oversight is no longer a maybe."
On June 4, 2026, Reps. Jay Obernolte (R-Calif.) and Lori Trahan (D-Mass.) released a bipartisan discussion draft of the Great American Artificial Intelligence Act (GAAIA), a sweeping 269-page proposal to create a unified national AI regulatory framework. The bill drew co-sponsors from both parties, including Reps. Scott Franklin, Suhas Subramanyam, Erin Houchin, and Scott Peters.
The legislation rests on four pillars: frontier AI model governance, workforce impact tracking, cybersecurity fortification, and AI research and development. Crucially, it targets large frontier developers — those earning more than $500 million in gross revenue — requiring them to publish public AI frameworks and safety reports before deploying new models. Safety incidents must be reported to the newly codified Center of AI Standards and Innovation (CAISI) within 15 days, or 24 hours for severe events. The bill would also preempt state AI laws, including California's AB 2013, for three years.
The proposal arrives just two days after a White House executive order sought early model access for federal oversight, signaling accelerating federal momentum on AI governance. If passed, GAAIA would fundamentally reshape how AI companies operate, disclose, and scale in the United States.
Businesses deploying or building on frontier AI models face new disclosure, safety reporting, and compliance obligations if GAAIA passes. The three-year state law preemption offers temporary regulatory clarity but removes California-style protections. Executives should begin mapping exposure now — especially if annual AI-related revenue approaches the $500 million threshold.
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