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Contrary to fears of fragmented regulation, key states like California, New York, and Illinois are adopting remarkably similar language for frontier AI transparency bills, creating a de facto standard. The real "patchwork" issue lies in consumer protection and deepfake laws.

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The absence of a comprehensive federal AI law has spurred states like California and Colorado to experiment with unique regulatory approaches. This state-level action, while creating a "patchwork," allows for testing different governance models to see what works best before potential federal adoption.

With federal AI legislation stalled, states like Illinois, California, and New York are passing their own AI safety laws. Leading AI labs are endorsing these bills, recognizing that this state-level patchwork is effectively becoming the national standard for AI governance in the U.S.

Despite hyper-partisanship, the core principles of the Biden administration's AI Bill of Rights have been adopted in proposals by red states like Oklahoma and Florida. This suggests a surprising bipartisan consensus is emerging around the need to protect citizens from specific AI harms.

Despite the risk of a fragmented legal landscape, the slow pace of federal AI legislation makes state-level action essential. States are acting as "laboratories of democracy," pioneering regulatory approaches that can later inform a much-needed national framework.

By aligning its RAISE Act with California's SB 53, New York is helping create a powerful, bi-coastal regulatory consensus. This convergence counters the industry's argument against a "chaotic patchwork" of state laws and establishes a baseline for AI transparency that other states may adopt, effectively setting a national standard in the absence of federal action.

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.

In the absence of federal leadership, Governor Newsom's administration has pushed through legislation to regulate large language and frontier AI models, focusing on transparency and safety. This positions California, home to the AI industry, as the primary rule-maker for a technology its own founders call potentially dangerous.

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.

Instead of a single, premature federal AI mandate, a patchwork of state-level regulations creates a portfolio of experiments. This allows policymakers to learn what works in different populations (e.g., rural vs. urban) before establishing a more informed national framework.