Anthropic CEO Sounds Alarm: AI Chips for China Are Like Nukes for North Korea

Dario Amodei doesn’t usually do media blitzes, but when he does, they come with, how do we say this… an air for the dramatic? So when the Anthropic CEO showed up at Davos and delivered three separate interviews warning about AI’s trajectory, people paid attention.

The headline-grabber? He called the potential sale of US AI chips to China “a bit like selling nuclear weapons to North Korea.”

But that soundbite undersells what he actually laid out. Here’s what Dario said is coming next (and why you should care):

On timelines:

• “We might be 6 to 12 months away from when the model is doing most, maybe all, of what software engineers do end-to-end.”
• He says engineers at Anthropic already don’t write code anymore—they just edit what Claude produces.
• Their new product, Claude Cowork = built in a week and a half, almost entirely by AI.

On economics: 

• “We could have five or ten percent GDP growth, but also 10 percent unemployment.”
• High growth AND high joblessness simultaneously — something we’ve basically never seen before.

On the nightmare scenario: 

• A “zeroth-world country” of 10 million tech workers experiencing 50% GDP growth while everyone else stagnates. Needless to say, he called it “dystopian.”

In the best talk of the three, Demis Hassabis, Google DeepMind’s CEO, pushed back slightly on timelines, noting that coding is easier to automate than scientific discovery because you can verify results instantly.

But even he admitted: “I think we’re going to see this year the beginnings of maybe impacting the junior level entry level kind of jobs.”

Meanwhile, Anthropic keeps executing.

• Job postings shared by Deedy revealed new expansions into audio, biology, cybersecurity, and vision.
• They will also self-deploy ~1 million TPU chips rather than rent them from Google Cloud.
• And their revenue went from zero to ~$10B in three years.
• As Ejaaz noted, Anthropic has had zero founder exits, and now they’re projecting $70B ARR by 2028; no ads necessary.

What this means for you

If Dario’s right, we have 1-2 years to adapt to AI that matches human-level cognition across most tasks.

If Demis is right, that timeline is more like 3-5, or even 10 years out. And both of them are actually cool with slowing the pace a bit if they could get Chinese firms to agree (for the record, Demis says they are about 6 months behind the US).

The main thing to watch for? Progress on AI systems improving the training and building of other AI systems (the self-improvement loop). If progress on that starts to take off, so will everything else.

We’ll leave you with Demis’ advice for would-be junior-level employees or interns who might have trouble finding work this year: take the time off to play with the tools.

He says you should try to become unbelievably proficient with them to “leapfrog” yourself into usefulness in your profession. You might even get better at using them than the researchers themselves, who spend all their time building and not enough exploring the “capability overhang” of the current and future generations of tools.

You hear that, young folk? Get better at AI than Demis, get a job. What, like it’s hard?

Editor’s note: This content originally ran in the newsletter of our sister publication, The Neuron. To read more from The Neuron, sign up for its newsletter here.

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