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The 2024 veto of California's first major AI bill was not an anti-regulation move. The governor's veto letter explicitly stated the problem needed solving, but the proposed solutions were premature. This signaled to lawmakers and the tech industry that a more refined, evidence-based bill (which became SB 53) was expected.

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California's AI law contains a novel provision that empowers state agencies to defer to federal requirements if a comparable system is ever created. This statutory tool turns political rhetoric into law, effectively daring the federal government to act while allowing the state to proceed in the interim.

The tech industry's shift from strong opposition to neutrality on California's AI bill was a strategic calculation. They preferred negotiating one workable law that could serve as a national model, viewing it as better than fighting 50 different, potentially worse, legislative battles across the country.

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.

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.

The breakthrough for passing SB 53 came after its controversial predecessor was vetoed. A research-based report from Drs. Fei-Fei Li, Tino Cuellar, and Jennifer Chase provided a credible, non-political foundation for the new bill, allowing policymakers to navigate complex tradeoffs and overcome political gridlock.

While the tech industry may complain about yearly changes to AI laws, policymakers see it as essential. With major AI labs releasing new models with novel capabilities every 3-6 months, a slower legislative pace would be a dereliction of duty, failing to keep up with the technology's deployment velocity.

Rather than setting a low standard, passing AI safety laws in states like California creates a strong baseline. This gives advocates leverage to demand an even stronger federal framework, as anything weaker would be a non-starter for stakeholders who oppose federal preemption.

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.

Encode's ambitious SB1047 bill was vetoed, but the effort wasn't a failure. It primed the legislature, built a powerful coalition, and put AI regulation on the governor's radar. This "delayed payoff" from the initial failure was essential for passing the subsequent, successful SB53 bill.