Who is on this subjectordered by the date of their first quote here
2 of 5 lanes rest on fewer than 5 quotes and are marked thin. Offsets are days from the middle first-quote date, 21 Jan 2025 — a date, and nothing else. It is not a claim about who reached a view first.
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Brad Gerstner
7
2 Feb 2024 – 5 May 2026
-354 d
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Bill Gurley
5
10 Jun 2024 – 20 Jun 2025
-225 d
- Dylan Patel 9 21 Jan 2025 – 25 Aug 2026 +0 d
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Marc Rowan
1
thin
21 Dec 2025 – 21 Dec 2025
+334 d
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Gavin Baker
2
thin
4 Aug 2026 – 4 Aug 2026
+560 d
The chronologysourced and dated, oldest first
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Brad Gerstner
Gerstner reports hyperscalers added over $15 billion ARR in the quarter, a record.
“In the quarter, if you aggregate the hyperscalers together, we added over $15,000,000,000 in ARR. That's annual recurring revenue, the single largest quarter in the history”
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Brad Gerstner
Gerstner says hyperscalers' total capex is now at $200 billion, raising questions about return on investment.
“In fact, I think if people are gonna be critical of anything, a lot of people are looking at the total CapEx of the hyperscalers now at $200,000,000,000 and saying, when are you gonna get a return on the dollars that you're spending?”
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Bill Gurley
Gurley notes hyperscalers now spending $200 billion in total CapEx with questions about return on investment.
“In fact, I think if people are gonna be critical of anything, a lot of people are looking at the total CapEx of the hyperscalers now at $200,000,000,000 and saying, when are you gonna get a return on the dollars that you're spending?”
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Brad Gerstner
Gerstner proposes dedicating individual nuclear reactors at Diablo to major tech companies for their data centers.
“I could imagine if you had four more reactors sitting here, right, if you could land them at the right price, you could have one reactor for Meta, one for Amazon, one for Microsoft, one for Nvidia, you could have the data center sitting right next to them.”
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Brad Gerstner
Gerstner reports Oracle, Amazon, and Microsoft are all moving forward with nuclear-powered data center projects.
“Amazon is buying this nuclear powered Talon data center facility, and now Microsoft this week announces with CEG that they're going to bring 3 Mile Island out of retirement.”
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Bill Gurley
Gurley says hyperscalers as nuclear customers may be 10x better than utilities, bringing more risk-tolerant innovators to SMR market.
“if the hyperscalers become part of the customer set for the nuclear startups that may be like 10x better than selling just to utilities alone.”
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Brad Gerstner
Gerstner cites Morgan Stanley forecasting carbon offset spending rising from $2 billion to $100 billion by 2030.
“In 2020, Morgan Stanley estimates that about $2,000,000,000 was spent on the carbon offset market, and by 2030 they expect that to be $100,000,000,000 by these large hyperscalers that have to buy these massive carbon offsets.”
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Bill Gurley
Patel argues scaling continues because hyperscalers are building multi-gigawatt data centers and connecting them with billions in fiber purchases.
“Why is why is Amazon building these multi gigawatt data centers? Why is Google? Why is Microsoft building multiple gigawatt data centers plus buying billions and billions of dollars of fiber to connect them together”
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Bill Gurley
Patel argues hyperscalers are building multi-gigawatt data centers and buying billions in fiber to win on scale
“Why is Microsoft building multiple gigawatt data centers plus buying billions and billions of dollars of fiber to connect them together because they think, hey.”
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Dylan Patel
Patel explains the 7% rule limits non-US data centers, benefiting only Microsoft, Meta, Amazon, and Google.
“So, like, it's, like, Microsoft, Meta, Amazon, Google. Right? These four companies have, you know you know, 70 plus percent of their data center AI data center capacity in The US.”
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Dylan Patel
Patel notes CoreWeave got H100 services online six months before every hyperscaler in many cases.
“Get services online with h one hundreds before every hyperscaler by a factor of, like, as much as, like, six months in many cases.”
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Dylan Patel
Patel observes hyperscaler data centers started in 2023 remain incomplete even with expedited equipment delivery.
“Even if they even if they had the electrical equipment in in you know, not on lead time, they paid a bunch to skip the queue.”
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Dylan Patel
Patel describes a 10,000+ GPU customer whose engineers preferred CoreWeave infrastructure over their acquirer's hyperscaler setup.
“What's what's funny is there was a customer that had more than 10,000 GPUs with you. They got acquired. They had to start using some clusters at their acquiring company, the company that acquired them.”
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Bill Gurley
Gurley argues Amazon's lower GPU demand stems from lacking a major consumer AI application unlike Microsoft and Oracle.
“Microsoft derivatively is supporting ChatGPT as is Oracle and CoreWeave on this slide. Amazon doesn't really have a big consumer application, right?”
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Dylan Patel
Patel forecasts hyperscaler CapEx at $455-500 billion for next year versus Wall Street consensus of $360 billion.
“The consensus for the banks is $360,000,000,000 of spend next year across all of them. And my number is closer to, like it's, like, $45,500.”
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Dylan Patel
Patel argues neo clouds with long-term enterprise and hyperscaler deals will succeed over on-demand providers.
“And so those are probably less likely to be able to succeed versus those who are locking in these massive deals with or long term deals that may not be massive but with enterprises or with AI labs, or with the hyperscalers who have no capacity because the demand is just so incredible.”
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Marc Rowan
Rowan says hyperscaler debt is not a concern given their massive cash flows from diverse businesses.
“They have massive amounts of cash flow coming from lots of other businesses. And if I am worried about the debt of hyperscalers, the economy and The US have way bigger issues.”
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Dylan Patel
Patel says Google spending $180B and Amazon $200B on AI infrastructure represents 4x increase from recent years.
“If we start looking at like, hey, this year, Google spending 2 Amazon spending $200,000,000,000, Google spending a $180,000,000,000 on on AI infrastructure primarily. Right?”
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Dylan Patel
Patel predicts Google and Amazon will take on debt for AI infrastructure following Meta's example.
“Google and Amazon haven't taken on debt yet for AI infrastructure, but they will. Right?”
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Brad Gerstner
Gerstner cites hyperscaler revenue growth: Amazon 28%, Azure 39%, Google 63%, and Anthropic at historic rates.
“28% revenue growth out of Amazon at tremendous scale or 39% for Azure, 63% for Google, extraordinary. And of course, Anthropic is adding revenues at rates we've never seen before.”
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Brad Gerstner
Gerstner notes hyperscalers grew collective revenue from $150 billion to $350 billion in just eight quarters.
“Let me just give you a statistic. It's just eight quarters ago that collectively they were doing a $150,000,000,000 in revenue. Now they're doing $350,000,000,000 in revenue.”
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Gavin Baker
Baker reports hyperscaler operating cash flow accelerated from $28B to $32B despite unusual legal expenses.
“Operating cash flow from Microsoft, Meta, and Amazon has reported accelerated from '28 to '32. There are some actually pretty big unusual items now like these hyperscalers.”
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Gavin Baker
Baker says adjusting for one-time items shows hyperscaler operating cash flow accelerated from $28B to $35B.
“But there is an unusual amount of onetimers this quarter. And if you adjust for that, we went from 28 to 35. That's that's a material acceleration at this scale.”
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Dylan Patel
Patel identifies multi-trillion dollar funding gap as hyperscalers exhaust cash flows and raise debt.
“No one is generating that much cash from the business yet. Right? Hyperscalers, they funded all of the growth up until now. Google, Microsoft, Amazon, Meta.”
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Where they overlapsame programme, same subject
- Bill Gurley and Brad Gerstner — BG2 Pod, 1 appearance together