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Zuckerberg says Meta's compute risk depends on AI overall working

Interviewed by John on the Cheeky Pint podcast in an episode published on 12 October, Mark Zuckerberg and Alexandr Wang discussed Muse Wonder and what Meta's compute costs.

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Check our sources · 14 facts from 4 sources
Video thumbnail from the Cheeky Pint interview with Mark Zuckerberg, with a play badgeVideo: Cheeky Pint on YouTube
watch on YouTube · Video still, linking to YouTube

Key points

  1. Zuckerberg recalls telling Wang at the end of 2025 "we're going to write this check for, like, I don't know, like $100 billion, $200 billion" (53:21).
  2. He says the Prometheus cluster in Ohio is scaling to "larger than a gigawatt" (49:45) and the Hyperion cluster in Louisiana to 5 gigawatts (49:53).
  3. He puts operating a gigawatt for a year "on the order of $15 billion" (55:31) and the up-front capital cost at "probably, you know, $50 or $60 billion" (55:42).

What happened

Cheeky Pint published an interview with Mark Zuckerberg and Alexandr Wang on 12 October 2026, titled "Muse Wonder: Zuckerberg and Wang's $100B AI".

The episode page says the two "join John for a pint to discuss the launch of Muse Wonder and the future of personal AI agents." Meta's investor relations page lists Zuckerberg as "Founder, Chairman and Chief Executive Officer", and Meta's page for Wang is titled "Alexandr Wang, Chief AI Officer".

Zuckerberg described a conversation at the end of 2025, saying "we're going to write this check for, like, I don't know, like $100 billion, $200 billion. I'm like, Alex, are you sure this is going to work?" (53:21). The episode page says the two discuss "what it really feels like to make a $100B+ CapEx commitment before knowing if the model will work."

On the compute itself, Zuckerberg said "we built this Prometheus cluster, we call it, in Ohio." and "That's scaling to larger than a gigawatt." (49:45). He said "And now we're building this Hyperion cluster in Louisiana that's going to scale to 5 gigawatts." (49:53).

On cost, he said "to operate a gigawatt a year, call it on the order of $15 billion." (55:31) and "If you're talking about building the CapEx, it's probably closer to, you know, I mean, you pay for it upfront, so it's probably, you know, $50 or $60 billion." (55:42).

On the risk, Zuckerberg said "if AI works overall, plenty of other people want all our compute." (58:05) and "in order for it not to work out, it's not just that we have to fail, AI overall has to fail." (58:17).

On Muse Wonder in the Muse app, Zuckerberg said "because it's a lot bigger and it's more expensive to serve, we're going to start off primarily in paid subscriptions." (22:33). Wang said "as Mark mentioned, it is a much larger model. And so we're working through how to serve that most effectively to as many people as possible." (23:53).

What it means for you

Our view

These are Zuckerberg's own loose figures in an interview, not a budget Meta has published, and he gives the first of them as "like, I don't know". His view of the risk is that the compute only goes unused if AI overall fails, because he expects others to want it.

He also says Muse Wonder is bigger and more expensive to serve, so it will start primarily in paid subscriptions. If you plan around Meta's models, treat the amounts as his estimates and look for firm figures in Meta's own financial reporting, and ask what a paid-first start means for access to Muse Wonder on your plan.

It adds no new facts.

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Check our sources

Every sentence above is checked against these 4 sources.

1 Muse Wonder: Zuckerberg and Wang's $100B AICheeky Pint (YouTube) · 12 Oct 2026 · 10 facts Open the source archived copy

  1. The video "Muse Wonder: Zuckerberg and Wang's $100B AI" was uploaded to the Cheeky Pint YouTube channel on 12 October 2026.

    Muse Wonder: Zuckerberg and Wang's $100B AI - channel Cheeky Pint, uploadDate 2026-10-12T14:10:10-07:00
    cite

  2. Zuckerberg described a conversation at the end of 2025, saying "we're going to write this check for, like, I don't know, like $100 billion, $200 billion. I'm like, Alex, are you sure this is going to work?" (53:21)

    53:11 So we have these conversations where it's like, At the end of last year, we're like, / 53:21 Like, it's like, I'm going to, like, you know, we're going to write this check / 53:24 for, like, I don't know, like $100 billion, $200 billion. / 53:27 I'm like, Alex, are you sure this is going to work?
    cite

  3. Zuckerberg said "we built this Prometheus cluster, we call it, in Ohio." and "That's scaling to larger than a gigawatt." (49:45)

    49:45 So, I mean, we built this Prometheus cluster, we call it, in Ohio. / 49:49 Mm-hmm. That's scaling to larger than a gigawatt.
    cite

  4. Zuckerberg said "And now we're building this Hyperion cluster in Louisiana that's going to scale to 5 gigawatts." (49:53)

    49:53 And now we're building this Hyperion cluster in Louisiana that's / 49:56 going to scale to 5 gigawatts.
    cite

  5. Zuckerberg said "to operate a gigawatt a year, call it on the order of $15 billion." (55:31)

    55:31 you know, to operate a gigawatt a year, call it on the order of $15 billion.
    cite

  6. Zuckerberg said "If you're talking about building the CapEx, it's probably closer to, you know, I mean, you pay for it upfront, so it's probably, you know, $50 or $60 billion." (55:42)

    55:42 If you're talking about building the CapEx, it's probably closer to, / 55:45 you know, I mean, you pay for it upfront, so it's probably, you know, / 55:48 $50 or $60 billion.
    cite

  7. Zuckerberg said "if AI works overall, plenty of other people want all our compute." (58:05)

    58:05 One is if AI works overall, plenty of other people want all our compute.
    cite

  8. Zuckerberg said "in order for it not to work out, it's not just that we have to fail, AI overall has to fail." (58:17)

    58:17 So I think that you, in order for it not to work out, / 58:19 it's not just that we have to fail, AI overall has to fail.
    cite

  9. Zuckerberg said, about Muse Wonder in the Muse app, "because it's a lot bigger and it's more expensive to serve, we're going to start off primarily in paid subscriptions." (22:33)

    22:33 Well, what we're going to do in Muse, because it's a lot bigger and it's more / 22:36 expensive to serve, we're going to start off primarily in paid subscriptions.
    cite

  10. Wang said "as Mark mentioned, it is a much larger model. And so we're working through how to serve that most effectively to as many people as possible." (23:53)

    23:53 I think we want to, as Mark mentioned, it is a much larger model. / 23:56 And so we're working through how to serve that most effectively / 23:59 to as many people as possible.
    cite
2 Muse Wonder: Zuckerberg and Wang's $100B AI (episode 35)Cheeky Pint · 12 Oct 2026 · 2 facts Open the source archived copy

  1. The Cheeky Pint episode page (episode 35, 12 October 2026) says Mark Zuckerberg (founder and CEO, Meta) and Alexandr Wang (Chief AI Officer, Meta Superintelligence Labs) "join John for a pint to discuss the launch of Muse Wonder and the future of personal AI agents."

    #35 Oct 12, 26 ... Mark Zuckerberg (founder and CEO, Meta) and Alexandr Wang (Chief AI Officer, Meta Superintelligence Labs) join John for a pint to discuss the launch of Muse Wonder and the future of personal AI agents.
    cite

  2. The episode page says the two discuss "what it really feels like to make a $100B+ CapEx commitment before knowing if the model will work."

    what it really feels like to make a $100B+ CapEx commitment before knowing if the model will work.
    cite
3 Leadership and governance: Mark ZuckerbergMeta · 1 fact Open the source archived copy

  1. Meta's investor relations leadership page lists Mark Zuckerberg as "Founder, Chairman and Chief Executive Officer".

    cite
4 Alexandr Wang, Chief AI OfficerMeta · 1 fact Open the source archived copy

  1. Meta's page for Alexandr Wang is titled "Alexandr Wang, Chief AI Officer".

    cite

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