Claim◆Audio · 7:15 — 9:12
LLM companies including OpenAI, Anthropic, and Google are on track for $200-400 billion of aggregate ARR by end of this year at high margins, proving strong ROI on AI infrastructure.
Gavin Baker breaks down the economics of the AI industry, estimating that LLM companies will generate $200-400 billion in ARR this year with ~80% gross margins on inference, making the returns on GPU spend undeniable. ✦ AI generated
Gavin Baker · All-In Podcast · 2026-05-22 · original ↗
plays this moment only · 7:15 — 9:12
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“Gavin, what's your take on Anthropic's recent success and their massive hiring binge?”
The success is extraordinary. It's undeniable. I think the fact that they are now, they were EBIT positive per the Wall Street Journal in the most recent quarter is a really important fact for kind of the whole AI narrative. Because now there's you could talk about circular funding, you could talk about ROI, and we could go look at the ROIC of the hyperscalers. But if OpenAI and Anthropic are at, call it $100 billion of ARR now with 80 percent-ish gross margins on inference, like the returns are there. And then if we add in, and they're growing really fast, if we add in Gemini, we add in Cursor, we add in XAI, we add in open source, you know, it's not hard to see 200, 300, $400 billion of ARR at the end of this year at high margins.
verbatim transcript · starts at 7:15
- ·OpenAI and Anthropic at ~$100B ARR now
- ·80% gross margins on inference
- ·EBIT positive per Wall Street Journal
- ·Adding Gemini, Cursor, xAI, open source
- ·Reaching $200–400B ARR by end of year
- ·Returns on GPU spend are now undeniable
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This moment responds to
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