Are AI Bubble Concerns Warranted or Overblown?

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Goldman Sachs

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4.4 • 1K Ratings

🗓️ 11 November 2025

⏱️ 14 minutes

🔗️ Recording | iTunes | RSS

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Summary

AI bubble concerns are back amid a rise in AI-exposed companies’ valuations, ongoing massive AI spend, and the increasing circularity of the AI ecosystem. Goldman Sachs Research’s Eric Sheridan and Kash Rangan discuss whether bubble concerns are warranted or overblown. Date of recordings: September 26 and October 30, 2025 The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html. Goldman Sachs does not endorse any candidate or any political party. © 2025 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0	Is there an AI bubble?
0:07.0	We've all heard the bull case for AI that were in the early innings of a technological revolution that will change the world,
0:14.0	and the companies leading this revolution will generate tremendous returns for their investors.
0:19.0	But after years of heavy spending and rising stock valuations,
0:21.6	we're starting to hear a lot more skepticism. So are there signs of a bubble? And if we are in a bubble,
0:27.5	what does it mean for investors? I'm Alison Nathan and this is Goldman Sachs exchanges. Each month, I speak with
0:37.4	investors, policymakers, and academics about the most pressing, market-moving
0:41.7	issues for our top of my report from Goldman Sachs Research.
0:45.8	This month, I spoke with two of my colleagues here in Goldman Sachs Research, our U.S. Internet
0:50.1	Equity Research analyst, Eric Sheridan, and our U.S. software equity research analyst, Cash,
0:55.2	Rangan. I started by asking Eric and Cash about where the AI buildout stands today and how that
1:00.7	compares to expectations. On the infrastructure layer, the amount of capital and the amount of
1:06.3	spend has surprised to the upside. That level of spend short term is mostly tied to the fact that demand
1:13.6	for these services. The compute need generated by you querying CHUT-G-T is outstripping the available
1:21.9	capacity. So infrastructure has surprised to the upside on the need for capital to meet the demand for services.
1:30.1	The platform layer arguably is the handful of companies that are transitioning from just running foundational models to either building API solutions or applications on top of the foundational model.
1:44.5	And there's only a handful of those companies that have started to emerge that have the
1:48.2	scale of capital and talent to execute against that.
1:51.9	We've seen more applications emerge on the consumer side, mostly through the usage
1:57.7	of chat GPT and Google Gemini by consumers.
2:01.9	And I'll leave it to Cash to talk about the application side for enterprise.
2:06.5	Right.
	...

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