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Brad Gerstner
Brad Gerstner
Founder & CEO, Altimeter Capital
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Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem

📅 Sep 16, 2026 All-In Podcast 18 MIN 169243 VIEWS 42 SEGMENTS · 2 SPEAKERS
(0:00) Welcome Brad Gerstner! (1:01) Trump Accounts, Every Child a Capitalist & The CAC Scan (5:07) Can AI revenue pay for the CapEx? (8:53) The Build Out Issue: Gigawatts, TAM, Token Growth, and Margin Expansion (12:30) The risks: AI regulation, the nuclear precedent, power limits, and rising rates Thanks to our partners for making this possible! IREN is a vertically integrated AI Cloud platform, delivering data centers, compute and software for AI training and inference. https://iren.com/ Oracle connects the data, applications, and infrastructure that turn AI into business outcomes—with t...

What Brad Gerstner said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Brad Gerstner, founder and CEO of Altimeter Capital, argued the market is not in an AI bubble despite the largest capex buildout in tech history. He cited Nvidia's revenue up 2x, hyperscaler capex up 2x, and valuations for OpenAI and Anthropic up 2x, with SpaceX up 2.5x, while noting multiple contraction as earnings grew 26%. Gerstner emphasized that AI lab revenue, especially Anthropic's monthly figures, is the single most important data point, targeting at least $180 billion collective run-rate revenue by year-end. He predicted 25 gigawatts of new compute in 2027 versus Dylan Patel's 43-gigawatt forecast, saying it's sufficient for revenue targets. He highlighted margin expansion from AI, with Uber and Snowflake growing without headcount increases. Gerstner flagged regulation, power, and interest rates as key risks, expecting a possible rate hike and urging investors to stay mentally flexible rather than YOLO, with Altimeter positioned medium.

Key takeaways

  1. AI market is earnings-driven, not a bubble, with Nvidia at 14 times next year's GAAP earnings
  2. Top AI labs need to reach $180 billion collective run-rate revenue by end of year to sustain trade
  3. 2027 compute buildout likely 25 gigawatts, not 43, half for Anthropic and OpenAI
  4. AI margin expansion can turn 38 basis points annual expansion to 100 basis points
  5. Rate hikes over 90% likely tomorrow, pressuring data center borrowing costs

Numbers and commitments

FigureWhat it refers toTypeAt
70 million Children under 18 eligible for Trump accounts metric 1:04
50,000 lives a year Lives saved annually from CAC scans commitment 1:32
15% Market gain this year metric 2:16
26% Earnings growth this year metric 3:13
14 times Nvidia's price-to-earnings ratio metric 3:13
70% Semiconductors share of NASDAQ return metric 4:11
$180 billion Collective run-rate revenue target for top AI labs by year-end guidance 7:12
43 gigawatt Forecasted 2027 compute additions guidance 9:21
25 gigawatt Gerstner's forecast for 2027 compute additions guidance 14:18
90% Probability of rate hike tomorrow guidance 15:05

Chapters

  1. 0:00Trump accounts and CAC scans
  2. 2:16Market state and AI investment rationale
  3. 5:08AI lab revenue and capex dynamics
  4. 8:53Compute buildout forecast for 2027
  5. 11:29AI impact on enterprise margins
  6. 12:31Risks: regulation, power, interest rates
  7. 15:43Portfolio positioning and outlook
Host 0:00 ↗
Our favorite fifth bestie in the world, the one, the only Brad Gerstner from Altimeter. Brad has had an unbelievable career starting five companies. So, he's got a very different mentality than your sort of classic hedge fund guy.
He's an amazingly successful guy and he's put up a tremendous amount of money.
Every child in America, all 70 million kids under the age of 18 deserve to have one of these accounts. This would not be a law if Brad Gerstner did not pursue it with absolute dogged determination.
This is not a program. This is a platform. It is the largest unlock of direct philanthropy in the history of the country.
I think the antidote to more socialism is more capitalism. Please welcome Brad Gerstner.

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Cite this transcript

APA, MLA, BibTeX
APA

Gerstner, B. (2026, September 16). Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem [Interview transcript]. All-In Podcast. CEOInterviews.AI. https://ceointerviews.ai/interview/1434936/

MLA

Brad Gerstner. "Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem." All-In Podcast, 16 Sep. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1434936/.

BibTeX 
@misc{gerstner2026_1434936,
  author       = {Brad Gerstner},
  title        = {Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq \& AI's Take Off Problem},
  howpublished = {Interview transcript, All-In Podcast. CEOInterviews.AI},
  year         = {2026},
  month        = {sep},
  url          = {https://ceointerviews.ai/interview/1434936/},
  note         = {Speaker-attributed transcript with timestamps}
}