All-In with Chamath, Jason, Sacks & Friedberg

Iran War, Oil Shock, Off Ramps, AI's Revenue Explosion and PR Nightmare

March 13, 2026

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  • The market reaction to President Trump's comments suggests a strong belief that the conflict with Iran will be short-lived, supported by coordinated oil reserve releases dampening immediate economic fallout. 
  • Anthropic and OpenAI are demonstrating unprecedented revenue scaling, with Anthropic hitting a $14 billion run rate, signaling that AI revenue is materializing faster than many skeptics predicted, driven by augmenting labor rather than just displacing IT budgets. 
  • The AI industry faces a significant PR crisis in the U.S., where public anxiety about job loss and wealth disparity is high, exacerbated by inconsistent and fear-mongering messaging from company leaders, which contrasts sharply with optimism seen in other nations like China. 
  • AI regulation efforts, such as New York potentially outlawing AI medical/legal advice, are driven by incumbent professional associations spreading FUD to protect their industries from disruption, disproportionately harming the poorest people who rely on these tools for affordable access. 
  • Well-funded, EA-backed 'Doomer think tanks' are actively spreading FUD regarding data center energy and water usage, leading to a significant cancellation of planned data center capacity, costing the industry an estimated $120 billion in cumulative revenue per year across 2025 and 2026. 
  • Despite the rise of powerful open-source models, frontier AI labs like Anthropic are achieving extraordinary revenue growth (billions in a single month), suggesting the Total Addressable Market (TAM) for AI is dramatically larger than previously anticipated. 

Segments

Brad Gerstner SOTU Shoutout
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(00:00:00)
  • Key Takeaway: President Trump spontaneously added the shout-out to Brad Gerstner during the State of the Union address, which was not in the prepared remarks.
  • Summary: Brad Gerstner received an unscripted shout-out from the President at the State of the Union, which he found surprising as it was added last minute. The discussion touched upon the ‘Invest America’ program, which is signing up 100,000 kids daily to claim equity accounts set to go live on July 4th. Gerstner also proposed an equity giving pledge where wealthy individuals could donate shares to children’s accounts over time.
Iran War Economic Fallout
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(00:03:44)
  • Key Takeaway: Oil prices experienced massive volatility due to the Iran War, spiking to $100/barrel, prompting Goldman Sachs to raise PCE inflation forecasts and lower GDP expectations.
  • Summary: Brent crude spiked significantly, reaching $119 on day 10 of the war after three commercial ships were hit in the Strait of Hormuz. Goldman Sachs updated its PCE inflation forecast to 2.9% for the year and lowered GDP forecasts by 30 basis points due to the oil shock. The market is currently pricing in the risk of conflict duration, though the Trump doctrine suggests shorter impacts than traditional neoconservative doctrine.
Finding the Iran War Off-Ramp
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(00:10:14)
  • Key Takeaway: Escalation in the Iran War risks catastrophic outcomes for the Gulf states, including destroying oil infrastructure and rendering the region uninhabitable due to desalination plant vulnerability.
  • Summary: The hosts strongly advocate for finding an off-ramp, noting that continued escalation could lead to Iran targeting Gulf state oil/gas infrastructure and desalination plants, potentially causing humanitarian catastrophe. Escalation also risks Israel using nuclear weapons, which would be catastrophic. The consensus is that the U.S. has degraded Iranian capabilities sufficiently to declare victory and exit.
China’s Role in De-escalation
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(00:19:18)
  • Key Takeaway: The Iran conflict is viewed as secondary to the U.S.-China relationship, with President Trump’s upcoming summit with Xi Jinping expected to yield a historic grand bargain.
  • Summary: The primary strategic focus is China, as the conflict severely impacts China’s oil supply, making them highly incentivized to negotiate during the upcoming summit with President Trump. China’s decision not to defend Iran or cancel the summit indicates their need for the U.S. President, giving him leverage. China faces severe internal instability, evidenced by 25% youth male unemployment, which is exacerbated by oil shortages.
AI Revenue Growth and Quality
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(00:27:01)
  • Key Takeaway: Anthropic and OpenAI are achieving unprecedented revenue growth by augmenting labor, but the quality of this revenue remains experimental outside of coding assistance.
  • Summary: Anthropic reached a $14 billion run rate, growing 12x year-over-year, while OpenAI hit a $20 billion annualized run rate, demonstrating that AI revenue is materializing rapidly. This revenue surge is driven by models competing with labor budgets, especially in coding assistance, which is the first major scalable enterprise use case. However, revenue quality is questionable as many corporate applications remain experimental and lack integration into critical, high-stakes production workflows.
AI J-Curve and Profitability
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(00:46:10)
  • Key Takeaway: The massive capital investment required for AI infrastructure suggests a long payback period, estimated at five to six years just to break even on a per-gigawatt basis.
  • Summary: The cost to build one gigawatt of AI data center capacity is estimated to be around $50 billion, requiring roughly $10 billion in annual revenue for a five-year payback period before profits are realized. This J-curve mirrors historical tech investments like Tesla and Uber, highlighting the immense capital required to sustain current growth rates. Better silicon and open source advancements are necessary to shrink this payback timeline.
AI’s Negative Public Perception
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(00:50:10)
  • Key Takeaway: AI is deeply unpopular in the U.S. compared to China, largely due to leadership messaging emphasizing existential risk and job destruction, which contrasts with the technology’s potential to democratize access to legal and medical advice.
  • Summary: U.S. public sentiment on AI is highly negative (around 30% optimistic), contrasting with high optimism in China (80%), suggesting a U.S.-specific media and leadership problem. CEOs’ doomerism and focus on existential risk may be a strategy for regulatory capture, allowing incumbents to control licensing schemes. Banning AI use in critical areas like legal and medical advice disproportionately harms the poorest citizens who rely on these tools for access.
AI PR Disaster and Regulation
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(00:58:29)
  • Key Takeaway: Professional associations are weaponizing AI fear to lobby for regulations that protect their industries while harming access for low-income consumers.
  • Summary: New York is moving to outlaw AI medical and legal advice, which represents the highest ROI use case for consumers, especially the poor. Industry groups are spreading FUD about AI causing death and destruction to motivate legislators to slow down the technology. This regulatory loop is fueled by the AI makers’ own apocalyptic messaging, which incumbent professionals then leverage.
Doomer Think Tanks and Data Centers
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(01:00:20)
  • Key Takeaway: Well-funded EA-backed ‘Doomer think tanks’ are successfully influencing public discourse and halting critical AI infrastructure development.
  • Summary: Bernie Sanders advocated for a moratorium on all US data centers, echoing talking points from the Future of Life Institute (FLI), which is funded by EA billionaires like Dustin Moscovitz. These groups spread misinformation about data center electricity and water usage to stop AI progress. This opposition has led to the cancellation of approximately $120 billion in cumulative annual revenue potential from data centers in 2025 and 2026, primarily in Virginia and Indiana.
Open Source vs. Frontier Models
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(01:05:07)
  • Key Takeaway: The massive revenue growth of frontier labs proves the AI TAM is far larger than previously estimated, even with strong open-source competition.
  • Summary: Many startups are running local, open-source models for 85% of their tokens, using paid frontier models only for jobs they cannot handle. Despite this, companies like Anthropic are adding billions in revenue monthly, demonstrating that frontier labs can thrive alongside open source. This indicates that the Total Addressable Market for AI has crossed an important threshold and is much larger than prior expectations.
Millionaire Tax Exodus
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(01:07:51)
  • Key Takeaway: Washington State’s new millionaire tax is immediately prompting high-net-worth individuals, like Howard Schultz, to relocate to lower-tax jurisdictions like Miami.
  • Summary: Howard Schultz bailed from Seattle for Surfside, Florida, shortly after Washington passed a 9.9% tax on incomes over $1 million, effective in 2029. This follows Jeff Bezos’s departure from Washington in 2023, illustrating that wealthy individuals are highly mobile in response to state tax hikes. Politicians enacting these taxes fail to learn that capital flight erodes the intended revenue base.
Critique of Wealth Tax Math
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(01:11:01)
  • Key Takeaway: The proposed California billionaire tax is mathematically flawed, projected to create a $25 billion hole in the state budget due to overcounting billionaires and undercounting existing revenue.
  • Summary: A Hoover Institution analysis of California’s proposed billionaire tax showed a negative Net Present Value in 71% of simulations. The proponents miscalculated by overcounting the number of billionaires and undercounting the revenue they already contribute. The resulting revenue shortfall, estimated at $25 billion, would ultimately be footed by the middle class, costing approximately $2,500 per household.
Socialism, Entrepreneurship, and Solutions
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(01:13:40)
  • Key Takeaway: The path to solving core American problems like housing, healthcare, and education lies in regulatory breaking by entrepreneurs, not in socialist asset seizure.
  • Summary: Federal wealth tax proposals, like the one from Bernie Sanders, amount to annual asset seizure, which historically incites class warfare. The real solution involves entrepreneurs breaking regulatory cartels in education and housing, similar to deregulation achieved in Texas, Nevada, and Florida. AI is uniquely positioned to drastically lower healthcare costs, addressing the core needs of American families without resorting to wealth confiscation.