Provides cloud infrastructure and GPU computing resources primarily for AI and machine learning workloads.Yahoo Finance ↗coreweave.com ↗
6 takes · first discussed Mar 8, 2025 · last May 22, 2026
Commentary only — they've discussed this name but haven't made a call on it, so we don't attribute any call return to it. The stock's price chart and the takes are below.
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Chamath describes CoreWeave as an excellent business, noting its model is focused on training workloads with customers locked into guaranteed future commitments rather than spot pricing.
Friedberg draws an analogy to 'speed doubler' internet companies from 2003 — transitory arbitrage businesses that were disrupted when broadband arrived — warning that hyperscalers spending $80B+ in CapEx each may commoditize what CoreWeave currently offers, compressing demand and pricing.
Gavin Baker argues Nvidia's quarterly results—by validating GPU useful lives of 10-15 years via aggregated inference architectures—saved CoreWeave and other neo-clouds from the Michael Burry bear case that amortization schedules were too long, strengthening their business model.
The hosts hold a broadly constructive but nuanced view of CoreWeave, with bulls outweighing bears. Gavin Baker (high conviction bull) and Chamath (ultimately landing positive) argue that CoreWeave's ability to run large GPU clusters at scale is a genuine and rare technical competency, that the NPV of its locked-in training contracts provides a calculable floor, and that Nvidia's data validating GPU useful lives of 10–15 years has materially de-risked the bear case around amortization schedules being too aggressive. Chamath's earlier caution centered on the same GPU useful-life question — acknowledging that if the real lifespan proved closer to 5 years than 10, the business would be deeply underwater — but his later statements reflect growing confidence as that risk appears to have diminished. Friedberg remains the clearest skeptic, warning that CoreWeave's model resembles a transitory arbitrage business that could be disrupted as hyperscalers each deploy $80B+ in annual CapEx to build competing infrastructure, potentially commoditizing CoreWeave's core offering over time.
Chamath describes CoreWeave as an excellent business, noting its model is focused on training workloads with customers locked into guaranteed future commitments rather than spot pricing.
So then you go to CoreWeave. Okay, fine. But what does CoreWeave tell you? They're an excellent business. A, it's all training.”17:27
Friedberg draws an analogy to 'speed doubler' internet companies from 2003 — transitory arbitrage businesses that were disrupted when broadband arrived — warning that hyperscalers spending $80B+ in CapEx each may commoditize what CoreWeave currently offers, compressing demand and pricing.
I worry a little bit about a business like this where there's 4 or 5 companies that are each doing $80 billion of CapEx this year to create infrastructure that effectively starts to replace what these guys are effectively offering out as a”1:00:29
Gavin Baker argues Nvidia's quarterly results—by validating GPU useful lives of 10-15 years via aggregated inference architectures—saved CoreWeave and other neo-clouds from the Michael Burry bear case that amortization schedules were too long, strengthening their business model.
those older GPUs, they have a useful life for 10 or 15 years. And this means that you can finance GPUs. I think Corey's lowest financing, I can't forget if it's 6 or 7%. 6%. It's going to come down.”1:21:08