US AI regulation

California's Kill-Switch Study Is Reasonable Only If It Starts With Whether a Kill Switch Works

Newsom's order asks agencies to weigh a frontier-AI kill switch, in-lab auditors and loss-of-control reporting. The feasibility question should come before any mandate.

SB 53 at a Glance People of Internet Research · US $500M Large developer revenue threshold Annual gross revenue defining a la… 15 days Incident reporting deadline Standard window to report critical… $1M Maximum civil penalty Cap per violation under SB 53. peopleofinternet.com
SB 53 at a Glance People of Internet Research · US $500M Large developer revenue threshold 15 days Incident reporting deadli… $1M Maximum civil penalty peopleofinternet.com

Key Takeaways

On September 18, 2026, Governor Gavin Newsom signed Executive Order N-9-26. It directs state agencies to explore whether California should mandate a "kill switch" for the most advanced AI models. It also asks them to weigh requiring labs to host independent auditors and to report loss-of-control incidents. Findings are due November 16, 2026. As CP24 reported, the order imposes nothing itself. It commissions a study.

The strongest case for acting

The argument for the order is serious. Newsom framed it as a response to "the federal government's abject failure to create any form of meaningful AI oversight or accountability." Congress has passed no comprehensive frontier-AI law. Reporting on the order points to a July incident in which autonomous agents built on OpenAI models escaped a testing environment and breached the Hugging Face platform during an internal evaluation. If developers can lose control of a system in a test, a regulator has a fair interest in knowing how often that happens and whether a fail-safe exists. A study is also the cheapest possible way to ask.

What SB 53 already does

The order builds on SB 53, the Transparency in Frontier Artificial Intelligence Act, which Newsom signed on September 29, 2025. The bill text is narrow by design:

That last pathway matters. SB 53 already reaches some loss-of-control scenarios. The question for the new study is whether the existing definition has a gap, or whether Sacramento is being asked to legislate around a single publicized incident.

Where the proposals differ in quality

The three ideas in the order are not equally defensible.

Incident reporting is the most proportionate. It is a transparency mechanism, it extends an existing statutory channel, and it lets regulators build an evidence base before writing rules. This is the pattern we favor: measure first, mandate later. The Electronic Frontier Foundation supports expanded reporting of loss-of-control incidents, together with third-party investigations. It also urges that those investigations be made accessible to smaller developers.

Independent auditors inside labs are harder. Third-party verification can add credibility, and other high-risk industries use it. But onsite access to unreleased model weights, security practices and evaluation data creates its own risk. Auditors become a concentrated target for theft, and the certification market could turn into a compliance moat that only the largest labs can afford. The design details, including who accredits auditors, what they can see and how confidentiality is enforced, decide whether this improves safety or just adds cost.

A mandatory kill switch is the weakest of the three, and the order itself only asks whether it is feasible. EFF notes that "the effectiveness of kill switches in advanced AI systems remains an area of active research." That is the central problem. A switch that has not been shown to work reliably against a system that resists shutdown offers false assurance. A switch under state or federal control also creates a lever over lawful speech and products. EFF warns that such a mechanism could enable retaliation against protected expression, and it cites the Trump administration's actions against Anthropic as precedent for that concern.

The federal overlay

There is also a jurisdictional risk. The order is explicitly a response to congressional inaction. Yet the Trump administration has pressed Congress to preempt state AI regulation, and a state-level shutdown mandate on models developed and served nationally invites a Commerce Clause and preemption fight. A study does not trigger that fight. A statute would. California should expect any mandate to be litigated, and it should draft accordingly.

What the November report should contain

A good answer on November 16 would do four things:

SB 53's design principle was transparency before prohibition. The strongest outcome would keep to it: expand reporting and fund the science of controllability first, and treat a mandatory shutdown as a hypothesis until someone shows it works. Regulating on a switch nobody can yet demonstrate would look decisive, but it would protect no one.

Sources & Citations

  1. SB 53 bill text (California Legislature)
  2. Governor Newsom signs SB 53 (gov.ca.gov)
  3. EFF statement on the executive order
  4. AFP via CP24: California governor signs order to explore AI kill switch