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Dario Amodei
CEO and Co-Founder, Anthropic

Why It’s So Hard To Build An AI Kill Switch

📅 Sep 19, 2026 CNBC 10 MIN 104044 VIEWS 32 SEGMENTS · 6 SPEAKERS
AI doomerism hit a fever pitch after former OpenAI and Anthropic researchers warned that AI could kill us, and Anthropic CEO Dario Amodei, OpenAI's Sam Altman and SpaceX CEO Elon Musk joined the cause. As runaway AI fears reached a crescendo, policymakers renewed calls for a magic stop button for AI or a kill switch, which would require model makers to build a capability to shut down access when an agents go awry. CNBC speaks to experts to find out what it would take to build an AI kill switch. Chapters: 0:00 Introduction 1:55 Car we create an AI kill switch? 2:51 Hardware-based soltuion 3:14...
Samantha Subin 0:02 ↗
AI anxiety is nothing new. "Open the pod bay doors, HAL." "I'm sorry, Dave, I'm afraid I can't do that." But now that the technology is here, AI dread has hit a peak. First, a tweet from a former OpenAI and Anthropic researcher went viral: "The people building AI earnestly believe that it could kill us all by the end of the decade." Then the top AI executives called for a slowdown.
Dario Amodei 0:27 ↗
A real fear that some of these companies, or some companies developing AI, could get too much power and be able to sort of exert undue influence on the economy, push a worldview out on people. And I think the world is right to be afraid of this.
Expert Interviewee 0:42 ↗
The danger of AI is very significant at this point. When a lot of people from Anthropic and from OpenAI are telling you that their models are very dangerous, I think we should believe them.
Samantha Subin 0:56 ↗
This has led a variety of experts to call for an AI kill switch, or a safety protocol that could stop AI from doing something catastrophic. When machines go off the rails, humans need to be able to turn them off.
Expert Interviewee 1:10 ↗
I think it absolutely makes sense for us to think about having an AI kill switch in place. As we saw with the OpenAI Hugging Face incident, we are shockingly close to the 2001: A Space Odyssey scene where HAL says, "I'm sorry, Dave, I'm afraid I can't do that. I know that you and Frank were planning to disconnect me, and I'm afraid that's something I cannot allow to happen." The systems are trained, they're built to imitate human behavior, and that's where this behavior comes from.
Samantha Subin 1:41 ↗
But is an AI kill switch even possible? And are we too late? We spoke to a variety of experts to find out.
Expert Interviewee 1:56 ↗
So historically, a kill switch is a big switch on the wall of the factory that shuts off the power and then it shuts off every machine in the factory. And the question is, can we create that for AI? And the answer is, of course, it's more complicated. If a hyperscaler, Anthropic or OpenAI, had just one huge computer or one data center with tens of thousands of computers, then cutting the power for that is a real possibility, right? The simple reason that we can't have a single kill switch for everything is that it's all distributed. So there are tens of thousands of machines, thousands of data centers.
A possibility is to have standards and coordinated standards, right? Because turning off a system in one country leaves it running in another. So we really need international coordination for this. But standard, ideally hardware-based kill switch that is, every chip could be delivered with an operational code that must be provided every minute. And if it doesn't get its operational code, it simply ceases to operate. So that's an idea for a hardware kill switch that requires the chips be designed in a certain way.
Samantha Subin 3:14 ↗
We've seen proposals in Congress for potential kill switch bills for AI in particular. Is that something that is even possible?
Expert Interviewee 3:22 ↗
I think directionally, it's the right thing to do when you're talking about having some type of controls over AI. But I'm not sure it's going to be a panacea to solve all the myriad problems that AI is presenting. You're now talking about having to have thousands or hundreds of thousands of software manufacturers build backdoor kill switches into their software. And I think logistically, that's probably hard to impossible to do. I think a question that it also raises with me is who controls the kill switch? Is it a human? Is it an AI itself? Who regulates the idea of putting in controls is an interesting thing, but probably isn't something that realistically is going to work.
There is no single kill switch. I think what we actually need is regulation around data privacy, resource extraction, labor protections, child safety, all sorts of other areas that AI touches, and that this is not special or exceptional as an industry.
Samantha Subin 4:19 ↗
Anthropic co-founder Jack Clark told the BBC this week that the industry is working on a kill switch of sorts.
Jack Clark 4:25 ↗
Most labs have different ways of being able to pull the plug. And yes, of course we have systems in place for this, but this is the kind of thing that you want to feed into the larger policy conversation. Should you mandate that companies definitely have a kill switch? And is that kill switch verifiable by a third party? I think that's the kind of thing that society is going to want to know and might want to eventually pass rules around.
Samantha Subin 4:45 ↗
Lawmakers from both sides of the aisle have introduced bills that would regulate a kill switch.
Expert Interviewee 4:50 ↗
It basically requires the large AI companies to have the capability to turn off their own AI advanced models. It creates a process with appeal rights for AI companies when the government orders a slowdown or shutdown of these models, and we give the primary jurisdiction to the Department of Homeland Security.
I'm very skeptical of the framing of a kill switch, and so I'd be skeptical of legislation that filled out that framing. I'm much more interested in legislation that looks a lot more like how we regulate other industries that create harmful products. Because I think the kill switch framing leaves a lot of ambiguity that tech companies can exploit to have this work in their favor.

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APA, MLA, BibTeX
APA

Amodei, D. (2026, September 19). Why It’s So Hard To Build An AI Kill Switch [Interview transcript]. CNBC. CEOInterviews.AI. https://ceointerviews.ai/interview/3231115/

MLA

Dario Amodei. "Why It’s So Hard To Build An AI Kill Switch." CNBC, 19 Sep. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/3231115/.

BibTeX
@misc{amodei2026_3231115,
  author       = {Dario Amodei},
  title        = {Why It’s So Hard To Build An AI Kill Switch},
  howpublished = {Interview transcript, CNBC. CEOInterviews.AI},
  year         = {2026},
  month        = {sep},
  url          = {https://ceointerviews.ai/interview/3231115/},
  note         = {Speaker-attributed transcript with timestamps}
}