Scott Wiener wins Pelosi's seat and inherits the fight over federal AI rules
With Congress unlikely to act on AI this year, the former state senator behind California's SB 53 now has a federal seat from which to press his agenda.
Scott Wiener, the former California state senator who authored SB 1047 and SB 53, won a close congressional race for Nancy Pelosi's open San Francisco seat and could help shape federal AI policy. The win came a day after the AI nonprofit METR published a report widely read as evidence that Anthropic had reached recursive self-improvement, a point at which AI meaningfully contributes to its own advancement. Wiener said Congress had been expected to act before the end of the year, and he now sees that as unlikely. He has backed a strong, empowered federal regulator, whistleblower protections, testing and auditing requirements, and a kill switch, and he opposes broad federal preemption of state AI laws. He describes himself as only cautiously optimistic, citing Congress's record on tech and the uncertain stance of President Donald Trump.
Why it matters
Wiener's win puts a lawmaker with a record on state AI regulation into a seat where federal AI policy will be debated. He opposes broad federal preemption of state AI laws, which means a fight over whether states keep their own rules is likely. He is only cautiously optimistic that Congress will rein in AI, so for now the practical effect is that states remain the main place where AI rules are written.
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