The policy advocates for preempting state laws that regulate AI development, viewing it as an interstate issue. However, it carves out an exception, allowing states to enforce laws against the harmful applications of AI, such as AI-generated child sexual abuse material. This creates a development vs. use distinction for regulatory authority.

A16z proposes a federalist approach to AI governance. The federal government, under the Commerce Clause, should regulate AI *development* to create a single national market. States should focus on regulating the harmful *use* of AI, which aligns with their traditional role in areas like criminal law.

Contrary to their current stance, major AI labs will pivot to support national-level regulation. The motivation is strategic: a single, predictable federal framework is preferable to navigating an increasingly complex and contradictory patchwork of state-by-state AI laws, which stifles innovation and increases compliance costs.

OpenAI is shifting its policy strategy, now supporting state-level regulations like those in Illinois. This marks a move away from waiting for a comprehensive federal standard towards a more practical approach that acknowledges public sentiment and the need to build trust locally.

The White House plans an executive order to "kneecap state laws aimed at regulating AI." This move, favored by some tech startups, would eliminate the existing patchwork of state-level safeguards around discrimination and privacy without necessarily replacing them with federal standards, creating a regulatory vacuum.

The President's AI executive order aims to create a unified, industry-friendly regulatory environment. A key component is an "AI litigation task force" designed to challenge and preempt the growing number of state-level AI laws, centralizing control at the federal level and sidelining local governance.

A draft bipartisan AI bill includes a three-year preemption of all state laws regulating AI development. Critics fear this is overly broad, as it could prevent states from legislating on critical issues the federal bill itself doesn't address, such as children's safety online.

Facing a federal vacuum on AI policy, major players like OpenAI and Google are surprisingly endorsing state-level regulations in California and New York. This counter-intuitive move serves two purposes: it creates a manageable, de facto national standard they can influence, and it pressures a gridlocked Congress to finally act to avoid a messy patchwork of state laws.

Beyond its stated ideals, the White House's AI framework has a key political aim: to preempt individual states from creating a patchwork of AI laws. This reflects a desire to centralize control over AI regulation, aligning with the tech industry's preference for a single federal standard.