The Socialist Program with Brian Becker
Sep 16, 2026 · 32 min · 10 segments
The biggest capitalist CEOs of AI companies have been forced in the last week to address the question raised by their own profit-driven efforts: will the AI technologies they are rapidly developing…
Richard WolffGuest
Brian BeckerHost
The New York Times, because all of the mainstream corporate media are covering this story in sort of in the biggest possible way.

Dario Amadei, the chief executive of Anthropic, called for a global slowdown of artificial intelligence development in a 3,800 word essay on Saturday, just days after one of the company's employees quit over concerns about the safety of the technology.

Sam Altman, the chief executive of OpenAI, Elon Musk, whose SpaceX rocket company has been ramping up spending on AI, and Demis Hassabis, the chair of Google DeepMind, wrote in social media posts that they agreed on the need for a, quote, slower pace.

Amadei, who founded Anthropic, focused his essay on security and carefully building AI.

Quote, over the last few months, I have become convinced that That fully addressing the risks required even more prudence, not just investing in risk prevention, but pacing the rate of capabilities advancement so that risk prevention has time to keep up.

over concerns regarding artificial intelligence's danger and reckless industry competition.

I'll start with the, well, I'll mention both of them to you and let you get going.

One, how AI has developed under the current system, which we call the anarchy of capitalist production.

Meaning profit incentive rather than social planning is the driver in this exponential race to spend trillions of dollars on AI.

And then the second question, big question, and a lot of people are talking about it, is regardless of social system, regardless of whether it's a profit-driven capitalist system or or a responsible socially planned system, in other words, socialism, is there something inherent in AI development that is qualitatively different than all of the earlier technological breakthroughs for humanity over the last, say, 12,000 years.

The New York Times, because all of the mainstream corporate media are covering this story in sort of in the biggest possible way.

Dario Amadei, the chief executive of Anthropic, called for a global slowdown of artificial intelligence development in a 3,800 word essay on Saturday, just days after one of the company's employees quit over concerns about the safety of the technology.

Sam Altman, the chief executive of OpenAI, Elon Musk, whose SpaceX rocket company has been ramping up spending on AI, and Demis Hassabis, the chair of Google DeepMind, wrote in social media posts that they agreed on the need for a, quote, slower pace.

Amadei, who founded Anthropic, focused his essay on security and carefully building AI.

Quote, over the last few months, I have become convinced that That fully addressing the risks required even more prudence, not just investing in risk prevention, but pacing the rate of capabilities advancement so that risk prevention has time to keep up.

over concerns regarding artificial intelligence's danger and reckless industry competition.

I'll start with the, well, I'll mention both of them to you and let you get going.

One, how AI has developed under the current system, which we call the anarchy of capitalist production.

Meaning profit incentive rather than social planning is the driver in this exponential race to spend trillions of dollars on AI.

And then the second question, big question, and a lot of people are talking about it, is regardless of social system, regardless of whether it's a profit-driven capitalist system or or a responsible socially planned system, in other words, socialism, is there something inherent in AI development that is qualitatively different than all of the earlier technological breakthroughs for humanity over the last, say, 12,000 years.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.