AI Summary
5 min readBenchmark Breakfast #1 | Jack and Ev
When Anthropic dropped its S1 filing, the numbers themselves weren't new—most had been leaked on Twitter. But seeing them assembled in one place told a different story. In Q1 2025, Anthropic had roughly $400 million in revenue against $900 million in compute and infrastructure expenses—a 0.4x ratio where compute costs exceeded revenue. Six quarters later, in Q2 2026, they had $11.6 billion in revenue against $5.6 billion in compute costs: a 2.1x ratio. As Jack Altman and Ev noted, Anthropic had done in six quarters what takes most software companies a decade to prove: that these are not businesses selling a dollar for fifty cents, but money-printing machines.
The Code Gen Pull and Its Derivatives
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What you'll learn
- 1 (00:00) **New Format & Monday Meeting Inspiration** - Jack and Ev introduce "Benchmark Breakfast," a new podcast format inspired by Benchmark's agenda-free Monday partner meetings that often run five to six hours.
- 2 (02:07) **Anthropic S1: The Core Business Model Question** - Ev analyzes the Anthropic S1 filing, arguing it definitively answers whether AI labs can turn a profit.
- 3 (06:04) **IPO Concerns: Growth Volatility & Battleground Topics** - Despite strong fundamentals, Ev identifies reasons public investors might be cautious about the Anthropic IPO.
- 4 (07:26) **The "Best Model" Momentum & Unbounded Upside** - Jack is surprised by how much momentum hinges on having the very best model, even by a small margin.
- 5 (09:14) **Token Buyer Productivity & Diffusion** - Ev notes that while token sellers are thriving, the productivity gains for all token buyers are not yet fully proven across the economy.
- 6 (10:10) **Code Gen TAM: Saturation vs. Software Factories** - The hosts debate the total addressable market for code generation, comparing it to the Zoom pull-forward effect.
- 7 (13:11) **The Code Gen PMF Derivative Trade** - Ev draws a parallel between the public market "AI bottleneck trade" (NVIDIA, etc.) and the venture capital "code gen PMF derivative trade."
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Guests on this episode
Show Notes
Benchmark Breakfast is a recurring conversation between Benchmark partners Jack Altman and Ev Randle. It’s a window into the firm’s Monday no-agenda partner meetings, where five partners sit around and talk about whatever came up that week.
In this inaugural episode, Jack and Ev dig into the Anthropic S-1: what the revenue-to-compute chart actually shows, why growth volatility and consumption-based revenue complicate the public market story, and whether code gen is the most impactful PMF moment in the history of technology. They steelman open source vs. closed source, run the numbers on what the inference cloud market actually looks like, and get into AI’s emerging cybersecurity threat — including “abliterated models,” open-weight models with safeguards removed that adversaries are already using. They close on why bio and robotics may ultimately matter more than all the software gains combined, and what Manhattan Project-scale investment in the physical world could actually unlock.
TIMESTAMPS:
(0:00) Intro
(0:45) Introducing Benchmark Breakfast
(2:09) Anthropic S-1 drops
(3:59) The revenue vs. compute chart
(6:19) Growth volatility and consumption-based revenue
(7:11) The race for the best model
(10:21) Code gen saturation and software factories
(13:39) The AI-bottleneck trade
(17:39) Code gen as the most impactful PMF in history
(21:27) Durability is hard to call
(23:36) Investing in the trend vs. calling the next one
(26:09) Circular revenue vs. outside customers
(28:15) Open source vs. closed source steelman
(34:25) Own your intelligence
(36:29) Open source as a % of frontier spend
(40:52) AI and cybersecurity
(44:35) Abliterated models
(48:08) Bio, robotics, and physical abundance
(51:52) Why physical feedback loops are slower
(54:12) Ev’s dad and the promise of bio
(55:13) Halloween plans and the iPhone Duo
LINKS:
https://x.com/jaltma
https://x.com/everettrandle
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