AI Bubble Pops, Zuck Freezes Hiring, Newsom’s 2028 Surge, Russia/Ukraine Endgame
Jason Calacanis (host), David Sacks (host), David Friedberg (host), Jason Calacanis (host), David Sacks (host), Chamath Palihapitiya (host), Chamath Palihapitiya (host), David Friedberg (host), Jason Calacanis (host)
In this episode of All-In Podcast, featuring Jason Calacanis and David Sacks, AI Bubble Pops, Zuck Freezes Hiring, Newsom’s 2028 Surge, Russia/Ukraine Endgame explores aI Hype Deflates As Politics, Peace Deals And Power Plays Collide The episode opens with light banter before diving into a sober reassessment of the AI boom, driven by an MIT study showing most enterprise pilots failing and a short, healthy correction in AI markets.
AI Hype Deflates As Politics, Peace Deals And Power Plays Collide
The episode opens with light banter before diving into a sober reassessment of the AI boom, driven by an MIT study showing most enterprise pilots failing and a short, healthy correction in AI markets.
Chamath, Sachs, and Friedberg argue that AI is entering a normal technology cycle: experimentation is giving way to specialization, human-AI pairing, smaller models, and vertical applications, while massive capex and talent wars may be getting ahead of business value.
The conversation then pivots to 2028 U.S. politics, with Gavin Newsom’s early lead, the rise of the socialist wing, and a clash over whether Democrats can run on housing, wages, and education against Republican populism and California’s poor governance record.
Finally, they dissect Trump’s meetings with Putin and Zelensky, debating whether his diplomacy and pressure strategy can realistically deliver a comprehensive peace in Ukraine amid entrenched interests and historical patterns of frozen conflicts.
Key Takeaways
Most corporate gen-AI pilots are failing because they’re misdirected and misdesigned.
The MIT study cited found 95% of generative AI pilots never make it to production, with 70% of budgets funneled into sales and marketing tools that show poor ROI. ...
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AI is moving from one-big-brain narratives toward specialized, vertical, and small-model architectures.
Sachs and Friedberg both argue the superintelligence/AGI-in-2-years story has been debunked by incremental model improvements and performance clustering across vendors. ...
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Human–AI pairing and hybrid architectures are where near-term value will be created.
Friedberg emphasizes that generative models don’t autonomously run businesses; they augment humans. ...
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The AI boom is real, but expectations are resetting and capex risks are rising.
Sachs calls recent AI stock pullbacks and the mixed GPT-5 reception a “healthy correction,” not a bust. ...
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Talent and acquisition markets in AI have been briefly insane and are normalizing.
The hosts describe Meta offering $100M comp packages, billion-dollar acquisition offers for pre-product AI startups, and $30B rumored valuations being turned down. ...
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Democrats risk misreading Trump’s appeal if they only copy his style instead of addressing policy failures.
Newsom’s podcast-heavy, combative persona is framed as an attempt to be a ‘Democratic Trump,’ but Sachs argues Trump’s staying power comes not just from his personality but from being on the popular side of core issues like safety, trade, and reshoring. ...
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A Ukraine peace deal likely hinges on three hard concessions—and on Zelensky listening to his own people.
Sachs outlines three emerging pillars from Trump’s Alaska meeting with Putin: no ceasefire-only deal but a comprehensive peace settlement, formally taking NATO accession for Ukraine off the table, and recognizing territorial realities (some concessions/land swaps). ...
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Notable Quotes
“There’s a big difference between probabilistic software and deterministic software. That’s probably the biggest reason why you’re seeing so many failure modes in sales and marketing.”
— Chamath Palihapitiya
“We’re not in a loop of recursive self-improvement. We’re seeing that this is going to be a more normal technology race, not one model becoming all‑knowing and all‑powerful.”
— David Sacks
“It’s not that you just turn on generative AI and it runs your business for you. It’s like, where does it fit in the org? Who are the people that run it? How do they use it?”
— David Friedberg
“The practical choice Democratic voters will have is to actually ask whether they want a replay of California on an American 50‑state scale.”
— Chamath Palihapitiya
“I give Trump a ton of credit for trying to make peace here. He’s aligned exactly with what I said we should be doing, which is holding dictators who invade other countries accountable for it.”
— Jason Calacanis
Questions Answered in This Episode
In the MIT study you cited, which specific types of back-office processes showed the highest ROI for gen-AI deployments, and what did those successful implementations do differently from the failed sales and marketing pilots?
The episode opens with light banter before diving into a sober reassessment of the AI boom, driven by an MIT study showing most enterprise pilots failing and a short, healthy correction in AI markets.
Get the full analysis with uListen AI
You all made a big point about SLMs and specialized model networks—can you walk through a concrete, end-to-end example of how a modern enterprise stack might look in 3–5 years if it fully embraces that architecture instead of a single giant LLM?
Chamath, Sachs, and Friedberg argue that AI is entering a normal technology cycle: experimentation is giving way to specialization, human-AI pairing, smaller models, and vertical applications, while massive capex and talent wars may be getting ahead of business value.
Get the full analysis with uListen AI
Chamath raised the risk that Big Tech is over-committing to LLM-centric capex just as alternative architectures could emerge; what real-world signals or data points would convince you that such a ‘paradigm flip’ is actually underway rather than just a theoretical possibility?
The conversation then pivots to 2028 U. ...
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When you compare Gavin Newsom’s California record with Gretchen Whitmer’s Michigan and Wes Moore’s Maryland, which specific policy levers (on housing, crime, education, or wages) do you think most clearly separate them—and how would those differences likely play out in a 2028 primary debate?
Finally, they dissect Trump’s meetings with Putin and Zelensky, debating whether his diplomacy and pressure strategy can realistically deliver a comprehensive peace in Ukraine amid entrenched interests and historical patterns of frozen conflicts.
Get the full analysis with uListen AI
On Ukraine, if Trump manages to secure a comprehensive peace that includes territorial concessions and a formal NATO renunciation, how should the U.S. and EU structure long-term security and economic guarantees so that Ukraine isn’t effectively punished for making peace while also deterring future Russian aggression?
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Transcript Preview
In confidence, Sax told me he's a little broken up about the empty-nest kinda thing. And by empty nest, I mean his bulldog, Moose, is coming to live on the ranch.
Has the moose landed?
The moose is landing next week. We're giving him a three-month trial. If he's on his best behavior, he stays.
He's gonna be great. He's so well-trained.
What's goin' on?
Moose is our, our bulldog.
Yeah?
And-
Moose is loose.
(laughs) He needs the space. He needs a ranch. He's a very athletic bulldog.
(laughs)
This dog is not a couch potato. He's, like-
Au contraire.
... very active, and he just needs the space to run around.
Why don't you just buy a ranch and give him his own ranch?
(laughs)
Why buy a ranch when Nebessie has him a ranch?
Yeah. Nebessie, who loves bulldogs.
Yeah.
But no, he's a, he's a spectacular specimen of a bulldog.
Oh, he is.
I mean, this is-
Stunning bulldog.
Yeah, he's a beautiful dog.
Great bulldog. He's a great bulldog.
This is a trial adoption? A Sax-
Trial adoption.
... Calacanis adoption cycle?
Yeah.
Oh my God, this is sad.
You know, these bulldogs resist training.
Like Jason. (laughs)
(laughing) Yeah.
You know, like... Yeah, no.
They are-
And this is like-
They are the most stoic, loyal-
(laughs) Like Jason.
... but stubborn individuals. They will-
Uh-
Overweight, stoic, and stubborn. (laughs)
Not overweight. This is a svelte dog. How dare you?
(laughs)
How dare you? Moose is a specimen.
In terms of personality, this is founder market fit.
(laughs)
I mean, this is, like, owner pet fit.
Founder bulldog fit.
So, what Moose would do is he would jump on the couch and just kinda lay there. So, we'd like, "Moose, no. Go down." So, we'd put him down.
Expensive couch.
He jumps right back up. We would take him down, jumps right back up.
Yeah.
I mean, he can go on all night doing this.
(laughs)
So, finally, you just give in and let him sit there.
It's literally J-CALF.
It's literally, they are.
Now it's his couch. Now it's his couch.
(laughing)
It's literally J-CALF, yeah.
(laughs)
Going all in. Let your winners ride.
Rain Man, David Sax.
I'm going all in. And I said- We open source it to the fans and they've just gone crazy with it.
Love you, man. Nice.
Queen of quinoa. Going all in.
All right, everybody. Welcome back to the number one podcast in the world. We got a banger episode for you today. All the topics that you wanna hear about in the world. And with us, our amazing crew. Our chairman dictator, Chamath Palihapitiya, enjoying the final moments of summer. How you doin' there, brother? Well, I come back in a couple days. Mm. Mm. You getting a little melancholy there, brother? You a little sad? I mean, I think it should- everybody should have a two to three-week vacation in August. I think it should be mandatory around the world. (laughs) I think the world should stop- Hm. ... and we should all go on vacation. Yeah, well, you proved that to the audience by not showing up for the show for a couple of weeks. Yeah. (laughs) It's the best time to go on vacation. The best time. I agree. I agree. I just literally got back from a little- Work your ass off through the end of July- Yeah. ... and take two weeks off with your family is nothing better. I, I just did a, a little s-, uh, visit down to Mexico City, which was absolutely... The life of Rome is amazing. Have you been there before, Chamath? No, but I've heard it's incredible. I heard the food scene in Mexico City is bananas. It was bananas, and, um- That's what I've heard, yeah. The startup scene there is amazing. It's kinda like if Spain and Williamsburg, Brooklyn had a baby, like, that would be Mexico City. It's super hip, super fun, lots of young people, lots of energy. Hey, speaking of, uh, young people with lots of energy. Hey, Freyberg's back with us in his cell, working throughout August to get incredible things done, like our AI summit and the All In summit. Freyberg, uh, you gave up your summer once again for the All In crew and for the audience. How do you feel? You're resentful or you, you feel good about your decisions?
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