OpenAI's Identity Crisis, Datacenter Wars, Market Up on Iran News, Mamdani's First Tax, Swalwell Out
Jason Calacanis (host), Chamath Palihapitiya (host), Travis Kalanick (guest), David Sacks (host), Chamath Palihapitiya (host)
In this episode of All-In Podcast, featuring Jason Calacanis and Chamath Palihapitiya, OpenAI's Identity Crisis, Datacenter Wars, Market Up on Iran News, Mamdani's First Tax, Swalwell Out explores all-In debates NYC taxes, OpenAI vs Anthropic, datacenters, markets, politics. The panel criticizes New York City’s proposed pied-à-terre tax as targeting the most “elastic” buyers and likely reducing high-end demand, development incentives, and broader city spending.
All-In debates NYC taxes, OpenAI vs Anthropic, datacenters, markets, politics.
The panel criticizes New York City’s proposed pied-à-terre tax as targeting the most “elastic” buyers and likely reducing high-end demand, development incentives, and broader city spending.
They frame OpenAI as facing a strategic identity crisis—consumer dominance vs enterprise/coding focus—while arguing Anthropic’s faster growth and release cadence could drive a lasting lead.
A major theme is “datacenter wars”: compute, power, permitting, and local backlash are portrayed as the real bottlenecks that can cap AI lab growth regardless of product demand.
They interpret meme-like market behavior (e.g., Allbirds’ AI pivot stock spike) as both bubble signaling and a rational response to compute scarcity and infrastructure value.
The show alleges coordinated political “machine” tactics behind Eric Swalwell’s exit and debates why markets remain strong despite Iran-related conflict, emphasizing expectation management and valuation risk.
Key Takeaways
Targeting second-home buyers may backfire on NYC housing and development.
Sacks argues pied-à-terre owners are the most price-sensitive segment because they can buy elsewhere, so an annual tax could reduce demand, impair project underwriting, and slow new construction rather than improve affordability.
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Housing affordability improves most reliably through supply expansion, not punitive taxes.
They cite Austin as a counterexample where allowing new builds coincided with rent declines despite net in-migration, contrasting with NIMBY-heavy “blue city” constraints.
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In frontier AI, growth rate and product cadence can outweigh headline brand dominance.
Kalanick emphasizes “growth is king” and network effects from scale; Friedberg and Sacks point to Anthropic’s rapid release cadence and enterprise traction as a powerful flywheel.
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Enterprise (especially coding) monetizes better than consumer subscriptions.
Sacks argues consumers prefer flat $20 “all you can eat,” while businesses pay metered token usage like electricity, enabling revenue to scale faster for coding-centric vendors.
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Compute access is becoming the strategic choke point for AI labs.
Chamath and Sacks argue hyperscalers control a majority of compute, which can throttle frontier labs; labs may need vertically integrated infrastructure (land/power/shell) to avoid “Friendster-style” reliability constraints.
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Local backlash against datacenters is a practical limiter on AI progress.
They describe permitting and elections reversing approvals, state-level bans (e. ...
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AI ROI is uneven: small/focused teams capture value faster than large enterprises.
Chamath doubts scaled profit examples in big companies today, while others argue change management slows incumbents and early wins show up first in startups and founder-led tech orgs.
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Markets may be pricing in geopolitical de-escalation, but valuation risk remains high.
Sacks and Kalanick argue the market expects the Iran conflict to resolve and that Trump is sensitive to market optics (“weather vane”), while Chamath highlights stretched valuation metrics and mixed signals (dispersion).
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Notable Quotes
“They’re targeting the most elastic part of the market... which will crash the whole market.”
— David Sacks
“Growth is the whole damn thing.”
— Travis Kalanick
“Anthropic was very focused on enterprise, specifically coding... Consumers have a lower willingness to pay.”
— David Sacks
“We are absolutely compute constrained. Massively.”
— Chamath Palihapitiya
“The data center... is the temple of the wealthy... the physical manifestation that people want to attack and destroy.”
— David Friedberg
Questions Answered in This Episode
What are the exact proposed rates, thresholds, and definitions for NYC’s pied-à-terre tax—and how would it treat long-term rentals vs short-term rentals?
The panel criticizes New York City’s proposed pied-à-terre tax as targeting the most “elastic” buyers and likely reducing high-end demand, development incentives, and broader city spending.
Get the full analysis with uListen AI
If Austin is the supply-success example, what specific zoning/permit reforms would be the highest-leverage replicable policy for NYC/SF/LA?
They frame OpenAI as facing a strategic identity crisis—consumer dominance vs enterprise/coding focus—while arguing Anthropic’s faster growth and release cadence could drive a lasting lead.
Get the full analysis with uListen AI
Sacks cites Anthropic ~10x growth vs OpenAI ~3–4x; what sources support these figures, and how comparable are the revenue definitions (channel vs direct)?
A major theme is “datacenter wars”: compute, power, permitting, and local backlash are portrayed as the real bottlenecks that can cap AI lab growth regardless of product demand.
Get the full analysis with uListen AI
How should OpenAI structurally separate consumer and enterprise teams to avoid “context switching,” and what would be the first three product bets to win the agent platform layer?
They interpret meme-like market behavior (e. ...
Get the full analysis with uListen AI
If hyperscalers control ~60% of compute, what contractual/technical strategies can frontier labs use to prevent throttling (long-term take-or-pay, on-prem clusters, sovereign compute)?
The show alleges coordinated political “machine” tactics behind Eric Swalwell’s exit and debates why markets remain strong despite Iran-related conflict, emphasizing expectation management and valuation risk.
Get the full analysis with uListen AI
Transcript Preview
All right, everybody. Welcome back to the number one podcast in the world. We've got the core four here, and dare I say-
The king of atoms
... the king of atoms, yes. Captain Travis Kalanick is here. How you doing, brother?
I'm pretty good. Pretty good. I'm, uh, sitting here doing the podcast just next door to David.
Ah, yes. There you go.
Don't reveal our locations.
Please don't dox.
I didn't put my address out there, dude.
No, that's true.
Don't worry. Mondami did. He's outside your houses right now [laughs] asking them to foreclose on them.
Oh, he's trying to collect 3.9% or something?
Yeah. He's, he... They decided-
The, the pied-à-terre tax
... there's no rich people left in [laughs] New York, so he's looking for other cities to tax.
Sorry. Is it, is it, is it 3.9% a year? Is it per year, or is it one off sum?
I don't know if the percentage has been released yet, but the speculation I've seen is 3.9%, but I don't think that's final. But yeah, it's a pied-à-terre ta-tax, so if you have a-
But every year?
... second home. Yeah, every year.
Wow.
And by the way, it's for any home over five million. [scoffs] There's no homes under five million in Manhattan. This is not a rich person tax. [laughs] This is within 15 miles of Midtown Manhattan, you're paying an extra tax. Uh, I don't, I don't even-
But only... But J Cal, only if it's a pied-à-terre. So what it means is-
Right
... that the most-
Second homes
... Well, yeah, but the most elastic part of the market is what they're targeting for this tax. So in other words, people who don't live in New York, who just have it as a second or third home, who could buy that property anywhere-
Yeah
... are now being taxed the most. So what do you think that's gonna do? It's gonna have a massive impact on demand for second homes in New York, which will crash the whole market.
Yes. Congratulations, Mondami.
But in a weird way, that'll be good for housing affordability in New York.
Well, that- that's sort of the, the claim, but I don't think it'll be good for it because there'll be no incentive to build more.
Yeah. All units matter. Every time you add units, people upgrade, and it's not like these are gonna be low-income housing. Like penthouse on 57th Street or, you know, in Gramercy, it... That's not low-income housing. You'd have to break it into seven units. Makes no sense. But by the way, I don't know if you guys saw the video, not to get too serious, but he's doxing a certain billionaire who owns a certain place, and he's literally pointing at his home.
No, I said that to you, Jason. He's not doxing because everybody's known for years that Ken Griffin bought that place. Everybody knows that address. Everybody knows that unit. We all knew it. It was marketed widely. I don't think that's really doxing. He doesn't live there, and everybody knew he owned it. It would be-
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