Bernie Sanders Says Stop All AI, China's Breakthrough, Inflation Down, Golden Age in 2026?
Jason Calacanis (host), David Sacks (host), David Friedberg (host), Chamath Palihapitiya (host), Bernie Sanders (clip) (guest), Host (uncertain which bestie) (host), Host (uncertain which bestie) (host), Host (uncertain which bestie) (host), Narrator
In this episode of All-In Podcast, featuring Jason Calacanis and David Sacks, Bernie Sanders Says Stop All AI, China's Breakthrough, Inflation Down, Golden Age in 2026? explores all-In Podcast Clashes Over AI Moratorium, China Chips, ‘Golden Age’ Economy The hosts debate Bernie Sanders’ call for a moratorium on new AI data centers, arguing it would cripple U.S. competitiveness while failing to stop Chinese AI progress. They examine a growing perception gap: elites and tech investors see AI and the economy as booming, while many Americans feel threatened by job displacement, high prices, and political overpromising. A major segment focuses on China’s accelerating semiconductor and lithography efforts, suggesting U.S. export controls may only shorten the time it takes China to catch up—or leapfrog—in AI hardware. Finally, they walk through current U.S. economic data, with Sacks framing it as the start of a 2026 “golden age” and JCal emphasizing that public sentiment and lived experience still lag the numbers.
All-In Podcast Clashes Over AI Moratorium, China Chips, ‘Golden Age’ Economy
The hosts debate Bernie Sanders’ call for a moratorium on new AI data centers, arguing it would cripple U.S. competitiveness while failing to stop Chinese AI progress. They examine a growing perception gap: elites and tech investors see AI and the economy as booming, while many Americans feel threatened by job displacement, high prices, and political overpromising. A major segment focuses on China’s accelerating semiconductor and lithography efforts, suggesting U.S. export controls may only shorten the time it takes China to catch up—or leapfrog—in AI hardware. Finally, they walk through current U.S. economic data, with Sacks framing it as the start of a 2026 “golden age” and JCal emphasizing that public sentiment and lived experience still lag the numbers.
Key Takeaways
Stopping U.S. AI development won’t stop global AI progress, especially in China.
The hosts argue Sanders’ moratorium would merely shift AI leadership and economic gains to China, since much of AI progress is math- and compute-driven and cannot be frozen globally by U. ...
Get the full analysis with uListen AI
Public fears about AI job loss currently outpace the data.
Citing Vanguard and Yale studies, Sacks notes that occupations most exposed to AI have seen higher job and wage growth so far, but acknowledges that companies’ own ‘job replacement’ rhetoric and media incentives amplify doomer narratives.
Get the full analysis with uListen AI
AI needs visible, broad-based benefits to earn a “social license” in the U.S.
Chamath calls for tech leaders to emulate industrialists like Carnegie and Rockefeller—using balance-sheet cash to fund tangible public goods (education, healthcare, housing equivalents to ‘libraries’ and Bell Labs) so average Americans feel direct dividends from AI.
Get the full analysis with uListen AI
A small, well-funded ‘AI doomer’ ecosystem is shaping media and policy discourse.
The discussion highlights Future of Life Institute and other groups—backed by donations from figures like Vitalik Buterin, Dustin Moskovitz, and Jaan Tallinn—funding journalists, academics, and NIMBY groups opposed to data centers and AI expansion.
Get the full analysis with uListen AI
China is rapidly closing the semiconductor gap through both reverse engineering and novel research.
Friedberg details China’s multi-phase, multibillion-dollar lithography program and AI-assisted optical breakthroughs, arguing that Chinese researchers are not just copying ASML but pursuing alternative or superior manufacturing paths, potentially accelerating parity or primacy.
Get the full analysis with uListen AI
U.S. macro numbers look strong, but political overpromising and distributional issues fuel distrust.
Sacks points to falling inflation, rising real wages, and shrinking federal headcount as evidence of a coming boom, while JCal counters that many Americans expected outright price declines and better job security, leading to low approval ratings despite improving aggregates.
Get the full analysis with uListen AI
Policy uncertainty and aggressive taxation in states like California are triggering elite flight.
The crew links California’s proposed wealth/property-seizure-style taxes and massive pension underfunding to accelerating moves by wealthy residents and businesses to low-tax states like Texas, predicting long-term revenue and governance problems for high-tax states.
Get the full analysis with uListen AI
Notable Quotes
“We can stop progress in the US, but it's not gonna stop China from advancing these technologies.”
— David Sacks
“AI is the new lightning rod for fear and for divisiveness that ultimately breeds compliance and control.”
— Chamath Palihapitiya
“We now need to be on the forward foot as an industry… and start to use a percentage of the balance sheets of these companies in order to benefit as many Americans as possible.”
— Chamath Palihapitiya
“There is no AI job loss… quite the opposite, it's job growth and job gains.”
— David Sacks
“The American people are very disappointed in the Trump administration’s first year when it comes to inflation and the economy.”
— Jason Calacanis
Questions Answered in This Episode
If current data show AI-exposed jobs gaining, how should policymakers prepare for the possibility that this trend reverses as systems become more capable?
The hosts debate Bernie Sanders’ call for a moratorium on new AI data centers, arguing it would cripple U. ...
Get the full analysis with uListen AI
What specific large-scale projects (the ‘AI era libraries and Bell Labs’) would most effectively demonstrate AI’s benefits to ordinary Americans?
Get the full analysis with uListen AI
How should the U.S. balance export controls on chips and lithography with the reality that they may simply accelerate China’s push for self-reliance and innovation?
Get the full analysis with uListen AI
What communication strategies could tech leaders adopt to address workers’ fears of displacement without downplaying legitimate risks or overhyping productivity gains?
Get the full analysis with uListen AI
At what point should public perception and electoral pressure override elite economic optimism about a ‘golden age,’ and how should leaders respond if that gap keeps widening?
Get the full analysis with uListen AI
Transcript Preview
All right, everybody. Welcome back to your favorite podcast, the number one podcast, in fact, in the entire universe, the All-In Podcast with your besties. We're all here. It's the original quartet. Everybody loves when the core four are here, and we have a docket for you today. Guys, we gotta start out with Bernie Sanders. I know this is becoming a bit repetitive, but AI is the topic.
(laughs)
We reached a new level of retardation this week that we cannot avoid. Bernie Sanders has a major decel pitch, a moratorium on new AI data centers. Here's his argument. Number one, the billionaires are pushing AI because they want more money and power. Number two-
(laughs)
... it's gonna be massive unemployment, and he cites Gates, Staria, Elon saying that AI- AI would replace most jobs. Number three, he, uh, has an interesting point actually. AI is harmful to kids because it decreases social interaction. Actually, we kind of agree with that one, I think, across the board. But here's his pitch, Sax. His pitch is-
Speak for yourself.
(laughs) You want your kids using these chat bots? I don't think you do.
No, I've- I've talked to my kids about it and-
Oh, okay. Well, we'll get into it, huh?
I mean, we can get into it, but I've talked to them about it.
We'll get into it, huh?
Look, if you actually look at the data, if you look at what kids are doing, it's so much more interactive and engaging for them to talk to their friends on Snap or to watch videos on TikTok. Those things are super engaging-
They're playing Roblox together.
... whereas doing research on an AI chat bot is just, it's way less engaging. And you see this in the data. So I'm not saying there's not an issue there. You wanna pay attention to the way that these technologies are shaping the minds of young kids. But I think p- people get a little bit confused. What they're really talking about is social media, and then they attribute all the ills of social media over to these new AI chat apps, and they are a little different. You know, when I talk to-
Yeah, I would-
When I ask my kids, like, "How much do you use these things? Are they addictive?" They said, "No, they're more just really useful." It's like Google. It's like-
Yeah. There's two-
... I couldn't-
There's two-
I couldn't do school without it.
Yeah, there's two pieces here. One, using AI to be smarter and to learn stuff and ask questions. Absolutely fantastic, phenomenal. I think we'll all agree on that. There is, and I don't know if this is actually what he was referencing, but there's Character.AI in a- in a long tail of spicy chats where people... We talked about getting one-shotted and these parasocial relationships. That's, I think, what he's referring to, but maybe I'm reading it wrong.
Install uListen to search the full transcript and get AI-powered insights
Get Full TranscriptGet more from every podcast
AI summaries, searchable transcripts, and fact-checking. Free forever.
Add to Chrome