House Lawmakers Release Bipartisan Draft for National AI Framework

A bipartisan pair of House lawmakers released a long-awaited discussion draft of a national artificial intelligence framework on Thursday, proposing a sweeping set of measures aimed at preempting certain state-level AI regulations, reducing the technology's risks, and expanding federal research investment.

The draft framework, released June 5, 2026, would override state regulations that specifically target AI model development for a period of three years, according to the proposal.

The move reflects a growing push in Congress to establish a unified federal posture on AI governance before a patchwork of state laws takes hold across the country, reinforcing concerns from the technology industry that inconsistent regulations could hinder development.

The discussion draft was obtained ahead of its public release. It represents a notable moment in the ongoing debate over how the federal government should structure oversight of artificial intelligence — a debate that has intensified as AI tools have become more deeply embedded in commerce, healthcare, and national security.

By proposing a three-year moratorium on state-level rules targeting AI model development, the draft would effectively give Congress time to establish a more permanent federal regime while shielding AI developers from a fragmented regulatory environment.

The framework also aims to minimize the technology's risks alongside its research expansion goals, signaling that the lawmakers are seeking to balance innovation incentives with safety considerations — a tension that has defined much of the federal AI policy conversation in recent years.

Bipartisan support for the measure, while still in draft form, could improve its prospects in a divided Congress, though discussion drafts frequently undergo significant revision before any formal committee consideration.

The proposal comes as several states have moved aggressively to regulate AI systems, with some legislatures advancing bills that would impose liability requirements or mandatory disclosures on developers of large AI models. A federal preemption provision, even a temporary one, would directly conflict with those efforts, highlighting the friction between state and federal authority in emerging technology policy.

How the draft is received by industry groups, civil society organizations, and state governments in the coming weeks is likely to shape whether the framework advances to formal legislation.

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