Brad Gerstner on

revenue

5 quotes · 3 posts · Mar 2024 – Aug 2026

Saidverbatim, newest first

  1. Gerstner says SpaceX moved to $27 billion AI hyperscaler revenue in six weeks with Anthropic and Google deals.

    “In literally six weeks, they went from not in the game to $27,000,000,000 of AI hyperscaler revenue with big deals Google? With big deals from Anthropic and Google.”

    2:15 · Altimeter Capital · 15 Jun 2026 · permalink
  2. Gerstner argues AI must generate $1 trillion revenue to justify current CapEx versus $400 billion for all software.

    “then you've gotta earn about a trillion dollars of AI revenue for all of this CapEx to be worth it.”

    16:09 · listen · BG2 Pod · 23 Dec 2025 · permalink
  3. Gerstner reports Altman disclosed OpenAI is doing more than $13 billion in revenue.

    “Sam came on the podcast. He was a little bit feisty. And he said, listen. We're doing more than 13,000,000,000 in revenue.”

    0:39 · CNBC Television · 7 Nov 2025 · permalink
  4. Gerstner calculates OpenAI's rumored $150 billion valuation represents 15 times forward revenue of roughly $10 billion.

    “If that trajectory were to continue, right, that'd give you like roughly $10,000,000,000 next year. And the round's rumored to be at $150,000,000,000 so that's about 15 times forward revenue.”

    27:58 · listen · BG2 Pod · 25 Sep 2024 · permalink
  5. Gerstner explains that ARR (annual recurring revenue) gets high multiples because it's predictable like cable subscriptions.

    “ARR stands for annual recurring revenue. And recurring revenue, like a monopoly cable subscription, gets a really high multiple. That's why softwares have gotten high multiples. They're very predictable.”

    1:19:33 · BG2 Pod · 21 Mar 2024 · permalink

Postedtheir own words, on X

  1. post Gerstner says frontier labs still capture roughly 90% of AI economics despite open source token share gains

  2. post Gerstner says Anthropic and OpenAI revenue scaling is 10x faster than Google and Meta at comparable scale

  3. post Gerstner praises Databricks for stacking S-curves and defining markets over a decade as a shareholder

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