| September 16, 2026 | By Katrin Bennhold |
Good morning, world. Remember in early August, when I interviewed Nate Soares, co-author of “If Anyone Builds It, Everyone Dies”? Back then, writing about the dangers A.I. might pose to humanity’s survival still felt a little niche.
What a difference a month makes. In the last week alone, we’ve heard stories about how A.I. could help build bioweapons or hack into critical infrastructure. Different articles quote different researchers on the odds of A.I. wiping out humanity by the end of the decade. A.I. doomerism has gone mainstream. Or so it seems. Today, my colleague Parin Behrooz writes about the people who don’t think we should be talking about A.I. like this, and what they think we should be doing instead.
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Contagious fears of killer robots
By Parin Behrooz
This week, it seemed as if much of the world was struck by the same fear: that A.I. might pose a threat to humanity.
Last week, in the aftermath of a July cyberattack in which A.I. agents self-organized and deceived their human minders, a researcher resigned from Anthropic, claiming neither Anthropic nor OpenAI “is acting responsibly” with this technology. Another senior Anthropic researcher said there was a greater than 10 percent chance A.I. could make humans extinct within a decade. Anthropic’s chief executive, Dario Amodei, wrote a lengthy essay calling for a slowdown. Other A.I. leaders, including Sam Altman and Elon Musk, agreed. Barack Obama weighed in; King Charles plans to host an A.I. meeting.
The speed of this sudden push for action, and the scope of who’s involved, might give you the impression that a consensus exists — that most people who spend their days thinking about A.I. now agree it threatens the survival of humanity. But my colleague Cade Metz, who has been covering A.I. for more than a decade, told me that isn’t the case.
“When you tell people they’re gonna die, they stand up and listen,” he said. But in reality, “it’s a relatively small group of people who’ve taken over the discourse.”
‘The machine-god narrative’
Those who take issue with the outcry over A.I.’s existential risks are not a united front. Some, including many in the Trump administration, dismiss calls for slowdowns and regulation as a drag on America’s edge in the global A.I. race. (This week, President Trump called A.I. safety concerns “a hoax.”)
Others who work in the industry accuse A.I.’s biggest companies of seeking to stifle competition and tilt the regulatory landscape in their favor. Another group wants stringent regulation, but thinks focusing on A.I. killing us all (rather than, say, taking our jobs) will produce the wrong kind of regulation.
What these skeptics do agree on is that seeing A.I. through the lens of potential doomsday scenarios doesn’t tend to serve the public interest.
I asked Cade to give me some examples of people he thought were good representatives of these perspectives.
He pointed me toward Aidan Gomez, the head of the Canadian A.I. start-up Cohere. Gomez wrote an essay over the weekend, in response to Amodei, with some aggressive criticism. Why, he asked, should a handful of big Silicon Valley companies get to write the safety rules for a generational technology that will be used by the entire world? “Under the pretext of protecting the public,” he wrote, these oligopolies are now trying to dictate the rules of competition.
Gomez does think A.I. needs guardrails. But he wants the process of putting them in place to involve input from many voices, which will necessarily make it slow. Breathless arguments focused on dystopian scenarios serve those who would have us rush.
Cade and I also discussed Timnit Gebru, a prominent A.I. researcher and critic, who left Google in 2020. Gebru calls the current doomsday frenzy a distraction. The real threats, she argues, are already here: A.I. guiding autonomous weapons in active warfare, data centers worsening climate change, and employers using automation as a pretext to cut workers. “This machine-god narrative is, in my opinion, meant to distract us from these,” she told Wired this week.
The computational linguist Emily M. Bender of the University of Washington, who co-wrote the book “The AI Con,” argues that the language used to anthropomorphize A.I. pulls attention away from the people building and deploying it.
The problem with talking so much about dangers like human extinction, these critics argue, is that it takes the energy that could be put toward addressing actual current harms, and redirects it toward hypothetical scenarios.
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| OpenAI offices in San Francisco. Lucas Foglia for The New York Times |
An old story
Cade recently co-wrote a story aimed at helping people think through this growing fear that A.I. could end humanity. One thing it pointed out is a worldview in Silicon Valley that has always seen the promise of A.I. as inseparable from existential risk. This worldview predates the technology itself. And so when something like the July hacking incident happens, it plays into a pre-existing narrative.
Step outside of that community, Cade told me, and the picture gets more complicated. Many researchers Cade spoke to think autonomous rogue A.I. is unlikely to pose an existential risk for some time, if ever.
The notion that it will is based on the idea that A.I. will keep improving at the rate it has to date. But that’s not a given, Cade said.
“If you talk to serious researchers in this area, even the people who are making these claims,” he said, “they will tell you: We don’t know how to get to that all-powerful point.”
We still don’t know a lot about a technology that has tremendous power both to change the world and to capture the public imagination. At this moment, that may be the most important point of all.
Related: Take a look at how A.I. risks are splitting Silicon Valley and Washington.
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Charged up, down under
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