America has produced more AI legislation in 9 months than in the previous decade. Over 1,200 AI-related bills introduced across state legislatures in 2025 alone. Only about 150 actually passed. The pace is accelerating into 2026. And nobody has a clue what good AI policy actually looks like.

Three completely different theories of AI governance are competing. California's SB 53 focuses on transparency: make AI companies disclose their training data and safety testing. New York's RAISE Act wants incident reporting plus a dedicated oversight office. Texas TRAIGA prohibits specific AI misuses and creates a 36-month regulatory sandbox for testing.

The federal government is lurching between contradictory positions. Trump's December 11 executive order directed the DOJ to challenge state AI laws that interfere with interstate commerce. But the 2026 NDAA excluded preemption language entirely. The White House is reportedly considering FDA-like pre-release vetting for advanced AI models. Nothing aligns.

Connecticut just passed SB5 by lopsided margins after years of failed attempts. Colorado and Utah are both retreating from omnibus AI laws with 'repeal and reenact' maneuvers. IBM CEO Arvind Krishna summed it up on Fox Business: 'We got to find the Goldilocks middle' between too many and too few regulations. Translation: nobody knows what they're doing.

The fundamental problem is we have no shared test for what constitutes good AI policy. Should regulations focus on AI capabilities, AI applications, or AI outcomes? Should oversight be federal, state, or industry-led? Should the goal be innovation, safety, competition, or civil rights? Every bill picks different answers.

Meanwhile, the companies being regulated are writing the replacement laws. Tech lobbyists drafted alternative language for Colorado's AI bill rewrite. Meta and Google are funding policy research that coincidentally aligns with their business models. OpenAI's safety recommendations happen to exempt their current product lineup.

The result is regulatory chaos disguised as policy innovation. States are rushing to pass any AI bill to look proactive. Companies are lobbying for contradictory rules in different states to create compliance nightmares for competitors. Federal agencies are issuing guidance that changes every administration.

This isn't governing AI. This is AI governance theater. Until we agree on what AI regulation should accomplish, every new bill just adds more confusion to a system that's already broken. 1,200 bills and counting. Zero coherent strategy.