Bernie Sanders: Stop All AI, China's EUV Breakthrough, Inflation Down, Golden Age in 2026?

The episode opens with Bernie Sanders' call for a moratorium on new AI data centers. The hosts summarize his argument in three parts. Billionaires are pushing AI because they want more money and power. AI will cause mass unemployment, a claim for which he cites tech leaders, including Elon, who have said AI would replace most jobs. And AI harms children because it reduces social interaction. The host presenting the argument says the panel broadly agrees with the third point.

His remedy, as described on the show, is that Congress should halt new data centers so that "democracy can catch up." The host calls this "the most absurd, I think, solution to, you know, what are valid concerns," and notes that the proposal was mocked on social media. A Silicon Valley congressman, described as a friend of the pod, initially seemed somewhat supportive but later said his concerns were less acute and centered on renewable energy. Polymarket opened a market on whether an AI data center moratorium passes before 2027.

The child-safety point leads to a short disagreement. One participant says they have talked to their own kids about chatbots and argues that the data show AI chat is far less engaging than Snap or TikTok. In this view, critics are applying "all the ills of social media" to AI chat apps, which are a different kind of product. The participant concedes there may be an issue worth watching but reports that their children described the tools as useful rather than addictive.

It's like Google. It's like I couldn't do school without it.

The response splits the issue in two. Using AI to learn and ask questions is called "Absolutely fantastic." The concern is with companion-style products such as Character AI and a "long tail of spicy chats," which can produce parasocial relationships. The speaker acknowledges they may be misreading which of these Sanders meant.

The host lays out the competing framings as of December 2025. Sacks frames the AI debate as "we can't lose to China." Sanders frames it as stopping the billionaire class from gaining money and power by eliminating American jobs. Tucker, on the previous week's show, asked what Americans will get out of it. The host then puts the question to Sacks directly: why should Americans worried about their jobs care about beating China?

The answer given is that AI is "a profound technology" with major economic and national-security consequences, and that a U.S. halt would not stop China. Stopping would be "the biggest own goal ever," handing American leadership to China. The speaker also argues that Sanders exposed the real aim of critics. After President Trump signed an executive order on a national AI framework, critics objected on states' rights grounds. A moratorium that would apply even where states want data centers shows, in this view, that states' rights and affordability arguments are a "red hearing" (as transcribed) for a movement that wants progress to stop.

The same speaker compares this to Europe, which they say has half the share of global GDP it had thirty years ago because of hostility toward innovation. They add that "capitalism sometimes results in the unequal distribution of wealth, but socialism always results in the equal distribution of poverty and misery," and warn that giving up AI leadership would make the U.S. and its people poorer and end its position as the preeminent world power.

Asked whether the industry has a communication problem, one participant says politicians attacking "tech barons" usually cannot explain what AI does or does not deliver. Huge sums are going into infrastructure, but so far the only large aggregation of value is NVIDIA, with about $3,000,000,000,000 of market cap created in a couple of years. The participant credits Peter Thiel with the point that NVIDIA is the only company making money and that "the jury's still out." They compare this to the internet era, when fiber-optic switch makers were expected to win but end applications such as Google, Amazon and Uber captured the value. In this reading, AI has become a "lightning rod" for fear about local data centers and concentrated wealth, and politicians use that fear to gain control.

A second participant takes a different angle. Politicians have a strong instinct for self-preservation, so the Sanders video spread because a share of people found it reasonable. The public sees PR about "circular deal making" that lifts stocks for a small group, alongside stories about a threat hanging over them: electricity prices, their jobs, their children's jobs and education.

The proposed fix borrows from the 1880 to 1920 industrial era. The speaker tells the industry to drop "the stupid haircuts, dumb watches, ugly clothes, ostentatious displays of wealth," admits to having done this personally, and calls for companies to use part of their balance sheets to benefit as many Americans as possible. The examples given are Andrew Carnegie's 2,500 libraries, John D. Rockefeller's funding of institutions and universities, and Henry Ford's focus on wages. The speaker says the data, as Sacks pointed out the week before, do not support the misperception, but the misperception is "gaining steam."

One host repeats the view from the previous week that beating China does not matter to the average American. People care about jobs, their kids' jobs, inflation and rising energy costs. Half the country owns no stocks and gets nothing from rising share prices. People see self-driving cars and children who struggle to find work, and the host says the industry is scaring them. Beating China is "super important" intellectually, the host says, but losing a job is "existential." The example given is a child graduating with $100,000 in debt while energy and grocery bills rise.

Another participant answers that competition with China is also existential. Keeping it "on the battlefield of AI and intellectual and economic prowess" gives the U.S. a good chance of winning, and a different kind of conflict would be worse for everyone. Winning requires changing the misperception with visible benefits. The speaker notes that Wall Street values the cash on these companies' balance sheets "at zero" in sum-of-the-parts valuations, so it should be put to better use. Asked for a modern equivalent of Carnegie's libraries, the speaker declines to "front run" what is in progress but says company leaders "have gotten the message" and results may appear in the New Year. The host suggests education should be at the top of the list.

The next speaker addresses specific claims, starting with job losses. A Vanguard study compared occupations highly exposed to AI automation with all occupations and found higher growth in both jobs and wages for the exposed group: job growth of 1.7 versus 0.8%, and wage growth of 3.8% versus 0.7%. The speaker's explanation is that more productive workers command higher pay and employers want more of them, a "huge narrative violation."