House Members Propose the Great American AI Act to Replace State AI Laws With a National Standard

House Members Propose the Great American AI Act to Unify AI Regulation Across the United States

Two bipartisan members of the U.S. House of Representatives have released a landmark discussion draft of legislation that could fundamentally reshape how artificial intelligence is governed across the country. Representatives Jay Obernolte (R-CA) and Lori Trahan (D-MA) introduced the discussion draft of the Great American AI Act on June 4, 2025, signaling a growing congressional effort to establish a clear and consistent federal framework for AI regulation — one that would replace the current patchwork of state and local laws.

The move comes at a time when AI technology is advancing faster than regulators can keep pace, and as dozens of U.S. states have begun enacting their own individual AI laws. Proponents of a federal standard argue that a fragmented regulatory landscape creates compliance burdens for businesses and stifles the kind of bold innovation that has historically defined American technological leadership.

What Is the Great American AI Act?

The Great American AI Act is currently in discussion draft form, meaning it has not yet been formally introduced as legislation. This preliminary release is intentional — Obernolte and Trahan are explicitly seeking feedback from stakeholders, industry experts, academic researchers, civil society groups, and the general public before the bill moves forward in the legislative process.

At its core, the bill is designed to do two things simultaneously: protect Americans from the real and growing risks that advanced AI systems can pose, while also ensuring that the United States remains the global leader in AI development and deployment. According to the lawmakers' own framing, these goals are not mutually exclusive but rather interdependent — responsible regulation and competitive innovation can and must go hand in hand.

Preemption of State and Local AI Laws

One of the most significant — and likely controversial — aspects of the Great American AI Act is its preemption provision. According to the section-by-section summary released alongside the discussion draft, the bill would preempt any state or local law or regulation that conflicts with or duplicates the federal framework it establishes.

This is a consequential proposal. In recent years, states like California, Colorado, and Texas have been actively developing their own AI governance regimes, covering everything from algorithmic discrimination to transparency requirements for high-risk AI systems. A federal preemption clause would effectively override these efforts, centralizing AI policymaking in Washington.

Supporters of preemption argue that a single national standard is essential for businesses operating across state lines, particularly for technology companies that deploy AI-powered products and services nationwide. Without uniformity, companies must navigate an increasingly complex web of state-specific requirements, which can divert resources away from innovation and create an uneven playing field.

Critics, however, contend that state-level experimentation has historically served as a valuable testing ground for effective policy. They warn that federal preemption could weaken consumer and worker protections that certain states have worked hard to establish, particularly in areas where federal standards might be less stringent.

Why Bipartisan Support Matters for AI Legislation

The bipartisan nature of this proposal is notable in an era of deep political polarization. Obernolte, a Republican, and Trahan, a Democrat, represent very different constituencies and political philosophies, yet they have found common ground on the need for federal AI governance. This cross-aisle collaboration signals that there is genuine political will in Congress to address AI regulation — something that has been largely absent despite years of public debate.

Rep. Obernolte emphasized the need for a "thoughtful and bipartisan approach," noting that Congress must act deliberately as AI continues to advance rapidly. Rep. Trahan, for her part, highlighted the urgency of addressing threats to national security, public safety, and the American workforce — threats she described as already present and growing daily.

The fact that both a Republican and a Democrat are co-sponsoring this legislation may also improve its chances of advancing through the House, where purely partisan bills often stall before reaching a floor vote.

Key Goals of the Federal AI Framework

While the full details of the bill are still being refined through the stakeholder feedback process, the discussion draft outlines several overarching goals:

• Promoting innovation: The framework is designed to avoid overregulation that could slow AI development, ensuring American companies remain competitive against international rivals, particularly those from China and other nations investing heavily in AI.
• Protecting Americans from risk: The bill addresses emerging risks posed by AI systems, including threats to privacy, safety, civil rights, and economic security.
• Establishing regulatory clarity: By replacing the fragmented state-by-state approach with a single federal standard, the bill aims to give businesses, developers, and consumers a clearer understanding of their rights and obligations.
• Maintaining U.S. global leadership: Both lawmakers framed the legislation explicitly as a tool for keeping the United States at the forefront of the global AI race.

The Broader Context: A Growing Urgency Around AI Policy

The introduction of the Great American AI Act discussion draft arrives amid a rapidly evolving global AI policy landscape. The European Union has already enacted its comprehensive AI Act, which took effect in 2024 and represents the world's most ambitious attempt to regulate artificial intelligence. Other nations are following suit with their own frameworks, putting pressure on the U.S. to demonstrate that democratic governance can keep pace with technological change.

Domestically, the stakes are high as well. AI is already being used in hiring decisions, healthcare diagnostics, financial services, law enforcement, and critical infrastructure. The absence of a clear federal framework has left consumers uncertain about their protections and left businesses uncertain about their obligations — a situation that both industry and advocacy groups have been calling on Congress to resolve.

What Happens Next?

With the discussion draft now public, the immediate next step is the stakeholder engagement process. Members of the public, technology companies, academic institutions, labor organizations, and civil rights advocates are all encouraged to review the draft and submit their feedback before the bill is formally introduced.

Once formally introduced, the bill would need to pass through committee review, a full House vote, Senate approval, and ultimately presidential signature before becoming law. Given the complexity of the subject matter and the competing interests involved, that path will not be short or simple. However, the release of this bipartisan discussion draft represents a meaningful and concrete step forward in what has been a long-overdue national conversation about how the United States should govern one of the most transformative technologies in human history.

Whether the Great American AI Act ultimately succeeds in becoming law — and in what final form — will depend in large part on the input gathered in the coming weeks and months. For anyone with a stake in the future of AI in America, now is the time to pay close attention.