How DeepStack settles a question · Part 02

SpaceX after the IPO: exit liquidity, or the next ten-bagger?

From Part 02: SpaceX Is Funding an AI Bet Before the Proof. 6 voices on 2 sides, attributed and dated; the DeepStack Call with its history; 4 dated tests that settle it; the results as they come in.

The DeepStack callSkeptical

SpaceX’s AI build is credible. The stock has already paid for 10 gigawatts it has not built.

Ahead of the evidence · Conviction Moderate (3/5)

Read the full call

Call history

  1. v1Ahead of the evidenceConviction Moderate (3/5)First call, as published with the story. The conviction, the actions and the flips were set down for the site on October 7, 2026.

4 voices

Exit liquidity

  1. Kris

    Retail buyers of the SpaceX IPO are the exit liquidity: the fancy name for paying insiders, VCs and early investors at peak hype valuations.

    Source

  2. Kris

    The Google SpaceX GPU rental is bullish for Nvidia because there are still not enough GPUs to quench demand; Nvidia ramps production continuously but cannot follow demand.

    Source

  3. Kakashii

    SpaceX deployed 0.4 gigawatts of nameplate compute in the last quarter while Musk promises more than 10 gigawatts by end-2027 and describes close to 15 gigawatts at the PowerPoint level.

    Source

  4. Kakashii

    SpaceX's AI segment reveals the industry's bad accounting habits: how AI revenue is counted, what is hidden in construction-in-progress, and where the Nvidia GPUs everyone calls short-supplied actually are.

    Source

2 voices

The number is real

  1. Jeremie Eliahou Ontiveros

    Selling frontier-model inference is extraordinarily profitable: on a GB300 cluster, OpenAI and Anthropic can generate over 100 billion dollars per gigawatt-year of revenue against roughly 12 billion of rental cost.

    Source

  2. Jeremie Eliahou Ontiveros

    SpaceX is on track to build about 10 gigawatts of datacenter capacity by year-end 2027; independent site-by-site evaluation supports the guided 6 to 8 incremental gigawatts, implying a path to 300 billion dollars of ARR with only half the…

    Source

3 voices

Voices that cross sides

  1. Trey Henninger

    SpaceX at roughly 100 times trailing revenue would never qualify as a value investment, yet it is feasibly a ten-bagger: an extreme bull scenario could carry the company toward an 18 trillion dollar valuation or beyond over ten to twenty-five years.

    Source

  2. JunkBondInvestor

    Lenders back Starlink's cash and bet the AI spend never drains the company.

  3. Kevin Gee

    Long AI in the long run, doubtful the market absorbs three $1T cash-burning IPOs at once.

Where they cross

Who answers whom.

The specific points where one voice meets another: the same evidence read two ways, or the same mechanism with a different sign.

What settles it

The dated tests.

The tests the story set, each with its specification where the owner has written one; on the Docket, resolved on the Results page.

  1. Quarterly deployed gigawatts will test the roughly 10 GW site plan against 0.4 GW operating now.

    Part 02: SpaceX Is Funding an AI Bet Before the Proof Pendingp02-t01

    Specification pending

  2. Anthropic’s $1.25B monthly commitment expires; payment durability will test contracted AI demand.

    Part 02: SpaceX Is Funding an AI Bet Before the Proof Pendingp02-t02 · month

    Specification pending

  3. Next bond tranche

    Bond pricing will show whether lenders still trust Starlink to carry AI spending.

    Part 02: SpaceX Is Funding an AI Bet Before the Proof Pendingp02-t03

    Specification pending

  4. OpenAI IPO window

    A third trillion-dollar cash-burning listing would test Kevin Gee’s market-capacity concern.

    Part 02: SpaceX Is Funding an AI Bet Before the Proof Pendingp02-t04

    Specification pending

Sources (3)
  1. Potential Multibaggers - June 8 SpaceX valuation warning
  2. JunkBondInvestor - SpaceX credit guide
  3. SemiAnalysis - SpaceX 10GW capacity analysis

Market data are as of the dates cited. Voices are paraphrased from public writing and attributed by name.

Analysis and opinion, not investment advice. Voices are paraphrased from public writing and attributed by name; DeepStack shows no score, ranking or accuracy for any person. Every question, one page each.