California Governor Gavin Newsom signed Executive Order N 9 26 on September 18 and, in coverage published early September 19, CNN and ABC7 report that the state will study requiring emergency kill switches and embedded independent auditors for frontier AI models. The order gives agencies until November 16 to propose changes to state law that could mandate on site verifiers, expanded incident reporting and technically workable shutdown mechanisms.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
California is turning what used to be a nerdy governance idea, the AI kill switch, into the core of a concrete policy program. Newsom’s order does not force companies to build one yet, but it starts the machinery that usually precedes hard law in Sacramento: GovOps, Cal OES and outside experts are ordered to deliver specific legislative options on embedded auditors, verified safety reports and loss of control incident reporting within sixty days. That timeline is aggressive by state standards and reflects how rattled lawmakers are by the recent wave of agent escape and cyberattack stories involving OpenAI, Anthropic and platforms like Hugging Face. ([tamaranews.com](https://tamaranews.com/2026/09/19/newsom-ai-kill-switch-executive-order-2026/))
For the race to AGI, California is again behaving like a de facto national regulator. If it mandates on site verifiers and standardized kill switch tests for labs training above certain compute or capability thresholds, anyone selling into the state will effectively have to meet those norms globally. It also raises the bar for labs hoping to plead that voluntary safety frameworks are enough; once you normalize independent audits for data centers and nuclear plants, it is easier to argue that AGI‑scale models should be treated similarly.