Mar 13, 2026 · 1h 20m · allin
Iran War, Oil Shock, Off Ramps, AI's Revenue Explosion and PR Nightmare
Jason Calacanis · 20m spoken Chamath Palihapitiya · 19m spoken Brad Gerstner · 15m spoken David Sacks · 15m spoken Alex Karp · 1m spoken Sam Altman · 22s spoken
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In this episode of the All-In Podcast, the hosts analyze the geopolitical and macroeconomic fallout of the conflict in Iran, evaluate the historic revenue surge and public relations crisis facing frontier AI companies, and debate the economic impact of state and federal wealth tax proposals.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 76.1% of the talking time here. How this is scored →
The hosts as informed peer 6.8 Guest teaching 3.1 Guest disagreement 2.4 The hosts pushing back 3.1
speaking balance: gold is the hosts, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 37:15 Gerstner counters host framing on recurring revenue
Gerstner forcefully interrupts Palihapitiya's critique of AI spending quality, insisting that continuous experimental spend functionally operates as recurring revenue.
Hardest push from the hosts ▶ 33:30 Palihapitiya pushes back on AI enterprise spend qualityPalihapitiya flatly rejects Gerstner's framing of Anthropic revenue, refusing to let him equate temporary experimental test budgets with durable enterprise production spend.
Biggest teaching moment ▶ 55:30 Palihapitiya reframes AI unit economics via Gold Rush metaphorPalihapitiya reframes the AI boom using the 1849 Gold Rush analogy, demonstrating to Gerstner that model makers profit on tokens while buyers take the downside risk without gaining revenue.
The host holds their own ▶ 45:10 Palihapitiya lays out 1GW data center payback mathPalihapitiya demonstrates deep industry mastery by laying out the exact capital cost blowouts and 5-to-6 year payback math for building a 1-gigawatt AI data center.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The hosts as informed peer | Guest teaching | Guest disagreement | The hosts pushing back | Why |
|---|---|---|---|---|---|---|
| Welcome Brad Gerstner & SOTU "Trump Accounts" Shout-Out | 2 | 1 | 1 | 1 | The hosts welcome Brad Gerstner and engage in lighthearted banter regarding his State of the Union shoutout. Brad shares the background of the invitation and his enthusiasm for the Trump Accounts initiative. | |
| Universal Basic Income & The Equity Giving Pledge | 5 | 1 | 1 | 2 | Calacanis proposes an equity giving pledge idea tied to kids' accounts before shifting to a detailed factual summary of Brent crude price volatility and historical oil shocks. | |
| Macroeconomic Analysis & The "Trump Doctrine" on Iran | 3 | 5 | 2 | 3 | Gerstner provides detailed macroeconomic estimates from Goldman Sachs regarding PCE inflation and GDP hits, reframing the US involvement under the pragmatism of the Trump doctrine. | |
| Crude Oil Dynamics & Strategic Petroleum Reserve Release | 8 | 3 | 1 | 2 | Palihapitiya and Sacks analyze market mechanics around oil releases and outline severe regional escalation risks including threats to Middle Eastern desalination plants. | |
| Domestic Political Risks & Trump's Electoral Calculus | 6 | 4 | 5 | 6 | Calacanis outlines four electoral risks for the Republican party, prompting Gerstner to playfully accuse him of 'kitchen sinking' every political grievance at once. | |
| Geopolitical Game Theory: All Roads Lead to China | 8 | 3 | 3 | 4 | Palihapitiya introduces game theory around China's extreme energy dependence and youth unemployment, explaining how US strategy leverages the upcoming Xi summit. | |
| Concluding Political Consensus on Wrapping Up the War | 7 | 5 | 2 | 3 | Sacks outlines political imperatives to end the conflict, while Gerstner cites stunning monthly revenue run-rates for Anthropic and OpenAI comparing them to Databricks and Snowflake. | |
| The AI Revenue Quality Debate: Experimental vs. Production Spend | 8 | 6 | 6 | 8 | Palihapitiya aggressively challenges Gerstner's AI revenue claims, arguing that corporate spend is currently experimental test budgeting rather than core production ARR. | |
| Enterprise Adoption Realities & Code Generation Scale | 7 | 2 | 2 | 3 | Sacks explains why software code generation represents a uniquely scalable enterprise use case, while Calacanis highlights startup-level workflow integration. | |
| Chamath on AI Doomerism and Tech Industry J-Curves | 9 | 2 | 1 | 2 | Palihapitiya breaks down precise capex figures for a 1-gigawatt data center blowout from 5 billion to 50 billion dollars, illustrating the steep payback timeline. | |
| Industry Leaders' Differing Visions on AI Disruption | 8 | 1 | 1 | 0 | Palihapitiya plays clips of Alex Karp and Sam Altman, contrasting their divergent narratives regarding economic displacement versus utility token sales. | |
| Public Perception and the AI Messaging Crisis | 8 | 2 | 1 | 0 | Palihapitiya criticizes AI industry leaders for inconsistent messaging that leaves public perception of AI lower than that of federal ICE enforcement. | |
| Historical Parallels and the AI Gold Rush | 8 | 6 | 5 | 7 | Palihapitiya uses the 1849 Gold Rush analogy to educate Gerstner on how model providers profit selling picks and shovels while model users fail to see proportional revenue. | |
| Anti-AI Influence and Data Center Opposition | 9 | 3 | 3 | 4 | Sacks and Palihapitiya reveal how EA-funded doomer think tanks spread FUD and report that 40 percent of protested US data center projects were canceled. | |
| Open Source Advances and Enterprise AI Demand | 6 | 4 | 3 | 4 | Calacanis questions whether rapid open-source model adoption undermines closed-source venture bets, and Gerstner reinterprets open source as expanding total market size. | |
| Podcast Housekeeping and Event Announcements | 7 | 2 | 1 | 1 | After brief housekeeping, Palihapitiya cites Hoover Institution Monte Carlo modeling showing how state wealth taxes create severe 25 billion dollar budget deficits. | |
| Federal Tax Policy Debate and Free-Market Solutions | 7 | 3 | 2 | 2 | Sacks, Gerstner, and Calacanis synthesize historical precedents from the Gilded Age and promote free-market entrepreneurial deregulation in housing and education. |
Statements from this episode (36)
Gerstner: Over 100,000 children signing up daily for Trump accounts
“We're signing up over a 100,000 kids a day to these Trump accounts.”
Gerstner: Nearly 30 million US children eligible for Trump accounts
“We have nearly thirty million kids in America who are eligible for at least 250 dollars.”
Gerstner: Trump accounts initiative will go live on July 4th
“These things are going to go live on July fourth.”
Calacanis: Polymarket gives 57% odds of US forces entering Iran
“Polymarket. 27% chance that U.S. Forces Enter Iran by the end of March and 57% by the end of the year.”
Gerstner: Goldman Sachs raised PCE forecast to 2.9% and cut GDP
“Goldman Sachs is out today with some analysis where they updated kind of the economic knock-on effects, right? So they raised their PCE Inflation forecast from 2.1 to 2.9, right, for the year. So that's a huge jump, right, in terms of their expected, you know,…”
Gerstner: Trump doctrine is pragmatic threat reduction, not spreading democracy
“I think the Trump doctrine is far more pragmatic than the neocon doctrine, right? I think we, I think Trump has a very limited set of goals. He wants to destroy and degrade threats to America's national security interests. He doesn't want to spread democracy.”
Gerstner: Market fallout from Iran conflict will be short-lived
“So my suspicion is that these impacts are shorter duration, but right now the market's having a little bit of post-traumatic stress, flashbacks to Afghanistan and Iraq, and wondering if we might be wandering into a quagmire.”
Chamath: The worst of the Iran war's economic fallout is probably over
“So I think that both of these two things together kind of paint a picture that probably the worst is behind us, and I think now it's about finding the off-ramp.”
Sacks asserts Iran's army, navy, and air force are destroyed
“Their army, navy, air force all been destroyed.”
Sacks: Israel is taking unprecedented damage in current war
“There's a social media blackout, but what you're starting to hear trickle out is that Israel is getting hit harder than they've ever been hit before in their history.”
Calacanis: Democrats will sweep midterms if Iran conflict continues six months
“If this continues for another six months, it's basically going to result in the Democrats doing a clean sweep in the midterms.”
Calacanis: Trump will think about midterms and find an Iran off-ramp
“If he doesn't find an off-ramp quickly, they're going to lose both houses in the midterms. That's, I think, the thing Trump needs to really consider, and I think he will consider it. I think he's going to find an off-ramp.”
Chamath: 20% of China's domestic oil consumption comes from Venezuela and Iran
“20% of their entire domestic consumption is oil from Venezuela and Iran.”
Chamath: Unemployment among young men in China stands at 25%
“You have 25% unemployment of young men inside of China. 25% today.”
Calacanis: Anthropic reached a $14B run rate in February
“Anthropic hit a fourteen billion dollar run rate last month, February.”
Calacanis: OpenAI ended 2025 at a $20B run rate
“OpenAI ended 20 25 at twenty billion annualized run rate.”
Gerstner: Altimeter bought more OpenAI shares
“I bought a lot more since then, Jason. I bought a lot more since then.”
Gerstner: AI agents compete with labor budgets, not IT budgets
“Where the models and the agents on top of them, whether it's Cloud Code, Codex, ChatGPT, they're no longer competing with IT budgets. They're now augmenting labor. They're competing with labor budgets.”
Chamath: No corporate enterprise shows sustained positive margin expansion from AI
“There's not a single good example that we can find of sustained positive margin expansion and impact of AI inside of a true corporate enterprise that is not right now a small test.”
Chamath: Agent-written code caused three or four SEV-1 outages at AWS
“Why does Amazon issue an edict that says you cannot use this stuff inside of AWS unless a human now reviews and approves it? Because what happened? They had three or four SEV-ONE faults from a bunch of code that was written by agents that brought down AWS.”
Chamath: Increasing daily AI token consumption yields no additional economic output
“I'm consuming more tokens every single day. Do I get more economic output? I am not.”
Calacanis: Big company management resists AI to protect headcount and jobs
“Management in big companies will resist it because it means lowering headcount, and it means the person who implements it might actually implement themselves out of a job.”
Chamath: AI infrastructure costs $50B per gigawatt with 5-6 year payback
“Right now that, that thing is roughly accurate, which is, it's about fifty billion per gigawatt, and it's about a five to six year payback just to get into the money, and then it's about ten billion a year.”
Chamath: AI startups use "scary doomerism" as a fundraising strategy
“I think what has happened is that at least some parts of the AI ecosystem have decided that this crazy, scary doomerism is the best way to raise money.”
Karp: AI will shift economic power from humanities graduates to blue-collar workers
“This technology disrupts humanities trained, largely democratic voters and makes their economic power less, and increases the power, economic power of vocationally trained, working class, often male voters,”
Altman: AI intelligence will be sold like a metered utility
“Fundamentally, our business, and I think the business of every other model provider, is gonna look like selling tokens, but we see a future where intelligence is a utility, like electricity or water, and people buy it from us. On a meter and use it for whateve…”
Sacks: Stanford study found 80% in China view AI positively versus ~30% in US
“I think that Stanford did a study on AI optimism. They simply asked the question, do you think AIs can be more beneficial than harmful? Something like 80% of people in China said yes. In the U.S. It was in the thirties and it might be even lower now.”
Sacks: Future of Life Institute holds ~$1B, boosted by $600M Vitalik donation
“Future of Life is one of these EA-funded Doomer think tanks, and they've got something like A billion dollars. Vitalik Buterin donated six hundred million dollars of dog coins to the, anyway.”
Chamath: Roughly 40% of protested US data centers are canceled
“About 40% of all protested data centers in America get canceled.”
Calacanis: Open source AI models account for 85% of token usage
“All of these open source models, we started running them, picking up about 85% of our tokens right now.”
Gerstner: Anthropic generating $5B to $6B in a single month
“We're seeing companies like Anthropic at five or six billion dollars of revenue in a single month, which is extraordinary.”
Washington state passes 9.9% tax on millionaires starting in 2029
“People making more than one million dollars a year will pay an extra 9.9% in tax starting in 2029.”
Chamath: Hoover simulation shows California billionaire tax creates $25B deficit
“The Hoover Institution basically ran this Monte Carlo simulation. They ran a 100,000 runs, and in 71% of those runs, it comes out with a negative NPV, and if you expected value it out, It's about a twenty five billion dollar hole.”