01 / prediction
I don’t think it’ll happen the year after, because the world is capital constrained.
“I don’t think it’ll happen the year after, because the world is capital constrained.”
- Speaker
- Dylan Patel
- Publisher
- Dwarkesh Podcast
Dwarkesh Podcast / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
18 published records
01 / prediction
“I don’t think it’ll happen the year after, because the world is capital constrained.”
02 / prediction
“Next year, a big new entrant is, for example, SpaceX, which is building a ton of compute. They’re actively going to lease quite a bit of it to Anthropic and OpenAI, most likely, because they’re the ones who have the marginal capability to pay the highest price.”
03 / belief
“There was the whole spat recently where I think Gavin Baker was like, “Dario believes that there’s only going to be one company in the world.”
04 / uncertainty
“I don’t know. But it would be many hundreds of billions of dollars per gigawatt if you get full AGI.”
05 / belief
“When I interviewed you a few months ago, you said that in order to make a gigawatt of, I think, Vera Rubins, you need 55,000 N3 wafers, 6K N5 wafers, and 170K DRAM wafers.”
06 / belief
“I think most compute will still continue to transact at sub-$20 billion a gigawatt.”
07 / belief
“Now, I think the US is going to be fine because the tax base will increase if we let data centers get built in America.”
08 / belief
“I think the fundamental problem is that AI training has huge economies of scale, because any effort you spend on training an AI for a specific skill or a specific set of knowledge gets amortized across billions of sessions or billions of users.”
09 / recommendation
“Because if the data centers are built in America, you can fundamentally just tax the data centers.”
10 / evaluation
“They’re not adding $25 billion of ARR every month now. That means the marginal megawatt they’re getting is going as a higher percentage to R&D than it is to inference.”
11 / evaluation
“Because they know their revenue from it’s going to be huge, and they’re going to pay 20% because it’s still better than renting it from SpaceX for $50 billion a gigawatt.”
12 / evaluation
“Every stock that is not an AI stock is worth basically zero because discounted cash flows are worth nothing.”
13 / observation
“You’ve seen people do funny arbitrages here where they buy turbines and then try and resell them, because the value of a turbine is way more since it’s the thing bottlenecking your data center.”
14 / prediction
“Anthropic not releasing what their safety assessment says is Model 2, which is widely believed to be the next version of Mythos. They’re clearly not releasing their best models, in which case their revenue per megawatt stalls or can even start to decline again because other models are competitive again.”
15 / evaluation
“Many of these hyperscalers were building infrastructure without knowing if there was going to be a payoff. So ultimately you had this negative value being created on the model layer, if you will, because they were selling the tokens for less than it cost them on the infra side.”
16 / prediction
“Just because someone has raised prices doesn’t mean the entire supply chain rebalances immediately.”
17 / evaluation
“When Amazon is serving Bedrock Anthropic models, that counts as Anthropic compute in our worldview, because it is effectively, at the end of the day, counted as revenue for Anthropic even though there’s a revenue share and credit back all that.”
18 / evaluation
“We can talk all we want about how they went from $20 million per megawatt to $100 million per megawatt, but they’re still paying $13 million for a lot of the compute they’re buying. But at the end of the day, the reason they’ve gone to $100 million per megawatt is because Jane Street is capturing $300 million per megawatt or $500 million per megawatt.”