AI Summary
5 min readIn July 2024, AI-related stocks fell 50-60% from their highs, driven by a cascade of narratives that investor Gavin Baker believes are mostly wrong. Baker, who spends his summer in Silicon Valley meeting companies, says he has not heard a single negative quantitative metric about AI demand. Instead, every signal he tracks—GPU availability, rental pricing, spot DRAM prices, token growth—is accelerating. The disconnect between public market panic and private market reality is the central tension of the conversation.
The Four Narratives That Drove the Sell-Off
Baker walks through the month’s catalysts, arguing each was misinterpreted. First, Meta announced it would rent out compute to third parties. The market read this as excess capacity and a sign Meta would cut capex. Baker says the opposite was true: Meta saw that SpaceX had sold large clusters at a massive premium to contracted rates, realized it could generate strong IRRs on a small chunk of capacity, and likely plans to raise equity capital to increase capex. Baker’s telemetry into Meta’s plans showed no reduction—if anything, they got more aggressive.
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What you'll learn
- 1 (02:04) **Opening Thesis: Fundamentals Are Accelerating Into a Market Selloff** - Patrick and Gavin set the stage: July 2025 felt like “2022 in a month,” with AI stocks down 50–60% from highs, yet every on-the-ground metric is accelerating.
- 2 (04:20) **The Contract vs. Spot Pricing Mismatch** - The core mechanism: installed compute is locked into long-term contracts trading at a massive discount to the surging spot market.
- 3 (06:26) **Deconstructing the July Selloff: Meta, Open Source, and China** - Gavin walks through the four catalysts that triggered the market panic, arguing most were misinterpreted.
- 4 (10:18) **The Real Concern: Rising Real Yields and Credit Markets** - Gavin identifies the one genuinely scary development: credit conditions tightening as real yields rise and CDS spreads widen.
- 5 (14:57) **The Search for Negative Data Points** - Gavin describes his mission to find any quantitative metric that confirms the market’s fears—and coming up nearly empty.
- 6 (20:19) **Claude as the Market’s Walter Cronkite** - Gavin observes that nearly every public market investor now feeds news into Claude, creating a dangerous homogeneity of interpretation.
- 7 (24:37) **The Innovation Pipeline: Continual Learning and Sample Efficiency** - Gavin shares his biggest technical takeaway from the Valley: multiple labs are close to solving continual learning and sample-efficient learning.
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Guests on this episode
Show Notes
My guest today is Gavin Baker, founding partner and CIO of Atreides Management. This is our seventh conversation, and just two months after Gavin's last appearance.
It's about the gap between what the market is doing and what companies are seeing. It's been a tough month or so for public AI names, but there's no sign of a slowdown on the ground in Silicon Valley.
We discuss the latest moves, contracted vs. spot GPU prices, the game theory of memory supply agreements, and why Claude has become the Walter Cronkite of the stock market. We close on SpaceX, orbital compute, and what Gavin sees as the single biggest risk to all of it.
Please enjoy this conversation, from the famous table at Benchmark, with my friend Gavin Baker.
For the full show notes, transcript, and links to mentioned content, check out the episode page here.
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