Obernolte, Trahan unveil bipartisan AI regulation proposal amid legislative caution

The 269-page 'Great American AI Act' draft proposes federal oversight of frontier AI models, but congressional leaders are already pumping the brakes.

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Add us on Google by Editorial Team Jun. 8, 2026

Two US lawmakers dropped a 269-page blueprint for federal AI regulation on June 4, and within hours, leadership was already signaling that nobody should expect swift action. The Great American AI Act, co-authored by Reps. Jay Obernolte (R-CA) and Lori Trahan (D-MA), represents the most detailed bipartisan attempt yet to create a comprehensive governance framework for advanced artificial intelligence.

The proposal is being treated as a discussion draft, not a bill headed for a vote. Public and stakeholder feedback is being solicited via email at [email protected] before any formal introduction.

What’s actually in the 269 pages

The core of the proposal targets what policymakers call “frontier” AI models, the most powerful systems being developed by companies like OpenAI, Anthropic, Google, and Meta. Developers of large frontier AI models would be required to create risk management plans specifically addressing catastrophic scenarios, including cyber threats. Semi-annual third-party audits would become mandatory. Incident reporting requirements would be imposed. And pre-deployment transparency measures would need to be in place before these models reach the public.

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Perhaps the most politically charged provision is a proposed three-year preemption of state laws governing AI model development. States would retain authority to regulate how AI is used, but the rules around how models are actually built would temporarily become a federal-only domain.

The bipartisan support extends beyond just Obernolte and Trahan. Reps. Suhas Subramanyam (D-VA) and Scott Franklin (R-FL) are also listed as supporters.

Why the brakes are already on

Republican skepticism is one obstacle. The Trump administration has already established its preferred approach through an executive order emphasizing voluntary federal reviews for frontier models. Mandatory audits and incident reporting represent a significant escalation from that posture.

Democrats face their own internal pressures. AI safety advocates and consumer groups are concerned that the three-year state law preemption could weaken protections that states like California have already enacted or are actively pursuing.

What this means for crypto and tech investors

The Great American AI Act does not mention crypto, blockchain, tokens, or decentralized systems anywhere in its 269 pages. This is a framework built entirely around centralized AI development by large-scale model creators.

For investors in the broader AI space, mandatory semi-annual audits and incident reporting requirements would increase operational costs for frontier AI developers. The state preemption provision would create a single compliance framework rather than a patchwork of 50 different rule sets for companies operating nationally, but the provision faces the steepest political headwinds of anything in the draft.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.