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Gavin Baker
Managing Partner and Chief Investment Officer, Atreides Management, LP

Inside the Mind of a Tech Investor with Gavin Baker

📅 May 15, 2026 Sohn Conference Foundation 25 MIN 50763 VIEWS 30 SEGMENTS · 2 SPEAKERS
An interview with Gavin Baker, Managing Partner and CIO, Atreides Management, LP, at Sohn Investment Conference 2026. The discussion covers his investment philosophy, his perspective on the current AI landscape, and future technological shifts. Moderated by Jas Khaira Head, Blackstone N1.

What Gavin Baker said

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

Gavin Baker, Managing Partner and CIO of Atreides Management, discussed his investment philosophy and views on the semiconductor and AI markets. He emphasized the importance of pattern recognition and reading over scuttlebutt, and shared lessons from past losses at Dendreon and Nextel International, warning against high leverage. On memory, he argued that while historical cycles suggest selling, the current capacity cycle may be early, and he takes the over on all numbers presented by other speakers. He predicted Trainium will be to 2026 what TPUs were to 2025, citing design choices and switched scale-up networks. He affirmed the durability of neoclouds like CoreWeave and Crusoe, comparing cluster operation to Formula 1 racing. He expects orbital compute to become economical in two years and take meaningful share by the end of the decade, potentially hurting terrestrial data center and power/cooling companies.

Key takeaways

  1. Trainium will be to 2026 as TPUs were to 2025, especially with Trainium 3 ramp in H2 2026.
  2. Orbital compute will be economical in two years and take meaningful share by end of decade.
  3. Neoclouds like CoreWeave and Crusoe are durable due to operational complexity.
  4. Taiwan Semi's conservative capacity expansion helps avoid a bubble.

Numbers and commitments

FigureWhat it refers toTypeAt
60-70% Memory price increase metric 7:31
high 60s Micron's margins metric 7:31
16% Historical average Micron margins metric 7:31
5% TSMC capacity expansion per Jensen visit metric 8:10
$1.5-2 trillion Potential Nvidia chip sales if TSMC doubled capacity other 8:10
10 basis points World population using AI models properly metric 13:06
5% World population using AI models in future scenario metric 13:06
$50 million Potential investment in CoreWeave at $1.1B valuation commitment 19:26
2-3x CoreWeave GPU utilization advantage metric 19:26

Chapters

  1. 0:00Investment philosophy and Fidelity DNA
  2. 3:17Formative losses and lessons
  3. 5:29Overrated and underrated investing skills
  4. 7:31Memory cycle and capacity constraints
  5. 12:32AI revenue and token spending
  6. 17:04Trainium versus TPUs
  7. 19:26Neocloud durability
  8. 23:18Orbital compute and market impact

Questions asked in this interview

9
  1. 1:16What is one piece of Peter Lynch era Fidelity DNA that you've kept and the one that you had to break in order to start and run and be successful with The Trades?
  2. 3:04What was yours and what specifically does it stop you from doing today that you would otherwise do?
  3. 5:29Put it at the beginning. Overrated or underrated?
  4. 6:05Maybe not so much given the scuttlebutt, but what fraction is just being early to one or two correct frameworks?
  5. 7:31You've also said that whenever there's a shortage, there's eventually a glut. How does this evolve?
  6. 12:32Is every S&P 500 company going to miss earnings because of tokens to Anthropic?
  7. 16:31Where does the consensus get it wrong?
  8. 18:43Is it a transitional arbitrage on hyperscaler capex and token friction?
  9. 22:36But are there other things that today are clear shorts for you based on that?
Jess 0:00 ↗
Our guest today, named as hedge fund tradies, which for the non-nerds in the room means the spice must flow. And for those of you who remember spice from your freshman year in high school, it's not that kind of spice. For Gavin, spice is high bandwidth memory. His Arrakis is Taiwan, and his sandworm is Jensen Huang. His X bio reads, 'No investment advice, views my own,' which may be the most expensive disclaimer in modern finance because he's got 288,000 followers that follow his advice. Anyways, he ran 17 billion at Fidelity. He beat 99% of his peers, although he just told me it's actually 100% of his peers. And he now runs his hedge fund from Boston, which may be the most contrarian position of all. Ladies and gentlemen, the most knowledgeable man alive on semiconductors. Please welcome Gavin Baker.
Gavin Baker 0:57 ↗
Wow. Thank you. And let me introduce you, Jess. Jess is one of the most senior partners at Blackstone and he just took over a new job as heading all of Blackstone's AI strategy, and was formerly the head of their tactical opportunities strategy.
Jess 1:16 ↗
We've been friends for a while, so it's fun that he gets to interview me and I get to interview him. But Gavin, I do get to interview you. Since this is an investing conference, I wanted to start with your mental model as an investor before we get into the meat and potatoes of semiconductors and memory and the stack and the bottlenecks which I'm sure all of you, just like me, want to engage with you on. So, you started at Fidelity in 2000 and managed it through two bubbles. What is one piece of Peter Lynch era Fidelity DNA that you've kept and the one that you had to break in order to start and run and be successful with The Trades?
Gavin Baker 1:56 ↗
Yeah. Good question. I'd say the Peter Lynch DNA that is forever woven into me, as I suspect is woven into anyone who had the great fortune of starting their career at Fidelity, which was an amazing place for me, is this concept that if you like the store or you like the product, you're going to love the stock. And just the importance of engaging with new products, with companies as deeply as you can as a consumer and user, that for sure is embedded into me. What I have been working on my entire professional career as an investor is there's a stock market axiom that you want to, you know, Peter Lynch said you want to pull up your weeds, water your flowers, you want to sell your losers, you want to ride your winners. For whatever reason, that is very hard for me. I'm extremely valuation sensitive, I'm very contrarian, I'm most comfortable on the 52-week low list. I've been hanging on to the memory stocks for dear life. But that's been a lifelong journey that I try to get a little better at every year.
Jess 3:04 ↗
Most great investors point to a single trade, a single bad trade, as the formative one in their own journey. What was yours and what specifically does it stop you from doing today that you would otherwise do?
Gavin Baker 3:17 ↗
Well, I would say there are two. I had a really hard year in 2011 or 2012. And it was two stocks. One was a company called Dendreon, and they were helping effectively small hospitals do a better job of negotiating with big insurance companies. You know, you feel like it's a good cause and then you wake up and there's a front page 10,000-word article in the New York Times on Sunday about how they're denying care to people in need and this is just simply not true. Nonetheless, the stock went down 90, 95%, never recovered. And just there are always unknown unknowns. There's always risks that no matter how much you try to dimensionalize an opportunity are present. And the second one is embarrassing. It was Nextel International. So I was a telecom analyst in the past for a long time. You could make a lot of money in telecom whenever a new network was built in an emerging market, it was definitionally the lowest cost, best and highest quality network because it wasn't loaded. And so Nextel International, they built a new network in South America. It was the latest and greatest 3G network. They were migrating off something called iDEN. I'd made money in this kind of pattern many times. And so made it a large position. And I'll never forget I wrote a letter to the board insisting they do a buyback and the company was bankrupt 18 months later. And the lesson is be very, very careful of high leverage because the company was just too levered and sometimes not everything goes right. What happened was a price war broke out between two unrelated competitors who were much larger. They got caught up in that and I will forever have the black mark of having written my only letter to a board asking them to buy back stock, you know, 15 months before a company went bankrupt, which is also a good lesson.
Jess 5:20 ↗
Yeah. Oh, appreciate that. Thanks for the candor and the vulnerability. I appreciate that.
Gavin Baker 5:25 ↗
We'll mix it up a little bit.
Jess 5:26 ↗
Sure.
Gavin Baker 5:27 ↗
Usually lightning rounds come at the end. Great.
Jess 5:29 ↗
Put it at the beginning. Overrated or underrated? Pattern recognition, scuttlebutt, position sizing, sleep. You just get one word.
Gavin Baker 5:44 ↗
I think pattern recognition and sleep are highly underrated. I think scuttlebutt is overrated. What was the fourth?
Jess 5:52 ↗
Position sizing.
Gavin Baker 5:54 ↗
Position sizing is very important. You just have to pick your game and you have to play it. You can either be a slugging percentage player or you can be a batting average player, but you have to know what your game is and stick to it and be consistent.
Jess 6:05 ↗
Appropriately rated sounds like the production function of Gavin Baker. When you actually look at where your edge came from last, maybe it's this year, last year, what fraction is reading? What fraction is your network? Maybe not so much given the scuttlebutt, but what fraction is just being early to one or two correct frameworks?

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Cite this transcript

APA, MLA, BibTeX
APA

Baker, G. (2026, May 15). Inside the Mind of a Tech Investor with Gavin Baker [Interview transcript]. Sohn Conference Foundation. CEOInterviews.AI. https://ceointerviews.ai/interview/943898/

MLA

Gavin Baker. "Inside the Mind of a Tech Investor with Gavin Baker." Sohn Conference Foundation, 15 May. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/943898/.

BibTeX
@misc{baker2026_943898,
  author       = {Gavin Baker},
  title        = {Inside the Mind of a Tech Investor with Gavin Baker},
  howpublished = {Interview transcript, Sohn Conference Foundation. CEOInterviews.AI},
  year         = {2026},
  month        = {may},
  url          = {https://ceointerviews.ai/interview/943898/},
  note         = {Speaker-attributed transcript with timestamps}
}