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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.
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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.
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.
The US President's move to centralize AI regulation over individual states is likely a response to lobbying from major tech companies. They need a stable, nationwide framework to protect their massive capital expenditures on data centers. A patchwork of state laws creates uncertainty and the risk of being forced into costly relocations.
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.
Without a federal framework, large blue states like California will create AI regulations. These rules, framed as prohibiting "algorithmic discrimination," will effectively force AI models to adopt DEI principles, leading to ideological capture that will affect the entire country. Federal preemption is argued as the only way to stop this.
Governor Newsom faces a dilemma: he must appear to regulate AI to protect citizens, but he cannot afford to impose regulations so strict that they drive major AI companies like OpenAI out of California. His political future is tied to the state's economic success, which is heavily dependent on the tech industry.
California's push for aggressive AI regulation is not primarily driven by voter demand. Instead, Sacramento lawmakers see themselves as a de facto national regulator, filling a perceived federal vacuum. They are actively coordinating with the European Union, aiming to set standards for the entire U.S. and control a nascent multi-trillion-dollar industry.
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.