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Back to Can AI Keep Growing Exponentially? Let’s Ask SemiAnalysis — With Dylan Patel and Jordan Nanos, with Dylan Patel & Jordan Nanos.

How Much Revenue Does $1 Trillion of AI Data Center Spending Need?

Dylan Patel says a trillion dollars spent today on an AI data center and GPUs needs about $1.5 trillion of revenue over six years if payback is a straight line, about $250 billion a year. The six-year clock is the accounting life of the assets. The buildings may last longer than the GPUs. Early years can bring in less and later years more, as long as the total pays the project back.

Patel calls published estimates of the required revenue too low for the pace of the build-out, and he expects revenue to come in higher than those forecasts by 2031. Alex Kantrowitz cited a Bain estimate that hyperscalers need $6 trillion a year by 2031 to break even. Meta can stop buying new capacity and still pay for what it has signed. If AI revenue is only $3 trillion in 2031, Patel expects big problems. OpenAI and Anthropic together can reach about $1.5 trillion by the end of 2027, which is where that payback comes from.

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Can AI Keep Growing Exponentially? Let’s Ask SemiAnalysis — With Dylan Patel and Jordan Nanos ·

Big Technology Podcast

More from this episode

  1. How Big Is Next Year's AI Capital Spending?Dylan Patel says next year's capital spending for the AI build-out in the United States is on the order of $2 trillion.
  2. Can AI Infrastructure Spending Keep Growing Exponentially?Dylan Patel says AI capital spending cannot keep compounding at triple-digit rates from here. The build-out runs out of things to organize.
  3. Is Anthropic Profitable After Compute Costs?Dylan Patel says Anthropic is now profitable once revenue is set against compute cost, with training and inference combined.
  4. Will AI Replace Knowledge Work in the Next Few Years?Dylan Patel says AI will not replace knowledge work in the next few years.
  5. Can Hyperscalers Cancel Neocloud Contracts Each Month?Jordan Nanos says hyperscalers and large frontier labs signing neocloud contracts generally do not have a right to cancel every month and walk away.
  6. Could Anthropic Be Worth $10 Trillion?Dylan Patel says Anthropic could be the first company in the world with a $10 trillion valuation, and the bullish case also reaches $20 trillion.
  7. How Much Is Nvidia Backstopping Neoclouds?Jordan Nanos says SemiAnalysis is tracking $588 billion of off-balance-sheet backstops that Nvidia is supporting.
  8. Can Open-source Models Hack a Neocloud?Dylan Patel says most neoclouds have terrible security, and open-source models can hack one or reach other customers' data on it.
  9. Why Did Oracle's New Mexico AI Data Center Slip?Dylan Patel says Oracle's New Mexico data center slipped because the pipelines were not going to arrive, and the site cannot be built without them.
  10. Why Do So Many Neoclouds Fail ClusterMax?Jordan Nanos says most neoclouds still miss the ClusterMax bar because a seller's market rewards raising money, building data centers, and deploying chips…
  11. Which AI Lab Has the Least Compute?Dylan Patel says DeepMind has the least compute of Anthropic, OpenAI, and DeepMind by the end of the year.
  12. Why Do AI Labs Keep Their Best Models Internal?Dylan Patel says frontier labs are keeping months of new-model progress inside the company, because once a model is public other people can distill it.

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