Anthropic's Secret: Faster Growth, Quarter the Cost! #shorts

Name: Anthropic's Secret: Faster Growth, Quarter the Cost! #shorts
Uploaded: 2026-04-10T10:59:23+00:00
Duration: 1 min 48 s
Channel: Jason M. Lemkin
Description: In this short conversation, Jason M. Lemkin highlights that Anthropic is closing the gap with OpenAI much faster than expected—achieving comparable or…

10 Apr 2026 · 2 min

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1:48

In this short conversation, Jason M. Lemkin highlights that Anthropic is closing the gap with OpenAI much faster than expected—achieving comparable or higher revenue (projected $30 billion in five years) while incurring only about a quarter of OpenAI’s model training costs. He attributes the cost advantage partly to Anthropic’s narrower focus (no video, image, or consumer‑facing products) but emphasizes the compounding strategic impact: faster growth, dramatically lower compute expenses, and a more efficient use of scientific talent. Lemkin argues this creates a “double‑code‑red” scenario for OpenAI investors, who likely received a far worse deal in their last financing round compared to Anthropic’s backers. The second speaker reinforces the point by likening the situation to the Uber‑Lyft rivalry, where one side accelerates while spending heavily, whereas Anthropic is both accelerating and cost‑efficient, presenting a daunting game‑theoretic position for competitors. The overall takeaway is that Anthropic’s unique cost‑efficiency combined with rapid scaling gives it a powerful competitive edge and raises questions about the relative value of recent OpenAI funding.

Chapters

The one that jumped out at me when I contrast it with the fact that Anthropic has caught OpenAI, right, in half the time, is that their training costs are a quarter of OpenAI. Their training costs for models are a quarter of the OpenAI. Now maybe that's because they're focused. They don't have to do video, they don't have to do images, they don't have to do a lot of consumer stuff. But if you just think about it for a moment, the compounding effects of catching OpenAI in half the time, right, at, at roughly the same revenue or more, $30 billion in 5 years and having training costs that for now are a quarter of it, you know, that's a double code red. It's one thing if, if, if you have two classic startups where one has bled money and it's artificial, there's other things. But if you have a dramatic cost benefit and you're out accelerating your competitors and there's management team turmoil at your competitor, it really feels like the investors in OpenAI got a much worse deal in the last round than the Anthropic ones did. Just crazy. Just having both. You usually don't have both together with your competitor. You're out-accelerating your competitor and your training costs are a fraction of your competitor. Good God, that just compounds.
That's actually a good point. 'Cause you take the Uber-Lyft struggle, right? Uber had the, "Oh my God, we're out-accelerating. Oh, but by God, we're spending every dollar we have to do it and we show no fear," right? In this case, you're out-accelerating the opposition while being more efficient on a bunch of interesting measures. No, you're right, Jason. That's a scary fact pattern if you're, If you're running the game theory and you're the other guy, it's like, hmm, that's not good. They're growing faster than us. The gross margin economics are roughly the same, slightly better. And their cost below the line, and to a rounding error, costs are compute and scientists to run the compute for training are better.