The Risk at the End of the Whip GMO’s Tom Hancock on Finding Conviction Amid the AI Hype

This episode of Excess Returns features GMO’s Tom Hancock on how to think about AI as an investment opportunity and what truly defines “quality” in today’s market. The conversation breaks down the AI value chain, challenges common assumptions about where value will accrue, and ties it all back to building durable portfolios in a rapidly changing technological landscape. Tom walks through his “Hype vs High Conviction” framework, explaining why identifying the right layer of the AI ecosystem may matter more than simply betting on the theme itself, and why balance sheets, durability, and capital allocation remain critical even in the most exciting growth environments. Hype vs High Conviction Topics Covered: Why AI may be the most important investment decision today The four-layer AI stack: applications, LLMs, hyperscalers, and infrastructure Why investors confuse secular trends with investable opportunities Following the money through the AI value chain The hidden risks of investing lower in the stack Why today’s tech leaders differ from the dot-com era Growth vs maintenance capex and what it means for AI economics Why software may be more resilient than markets think How GMO defines “quality” and why it matters in volatile markets Portfolio construction: where GMO is investing (and avoiding) in AI Timestamps: 00:00 Intro and framing the AI investment debate 00:00:55 Tom Hancock background and focus on quality investing 00:02:00 What investors are getting wrong about AI 00:03:23 Breaking down the four layers of the AI ecosystem 00:06:45 Applications vs infrastructure: where value may accrue 00:08:45 Why predicting AI winners is still difficult 00:11:00 Following the cash flows through the AI stack 00:13:00 Why AI funding is more stable than past tech bubbles 00:16:00 Big Tech strategy differences and capital allocation decisions 00:17:34 Are today’s tech companies higher quality than in 1999? 00:19:00 Growth vs maintenance capex and implications for Nvidia and others 00:22:00 Depreciation, chip lifecycles, and hidden risks in capex assumptions 00:24:00 Capital intensity vs quality: when heavy investment is a feature 00:27:00 Why incumbents may benefit most from AI 00:28:30 Risks in the LLM layer and potential commoditization 00:30:10 Software disruption fears: overdone or justified? 00:34:06 Defining “quality” in investing 00:36:00 Balance sheets vs return on capital 00:38:32 Why GMO sold Oracle and the risks of leverage 00:40:18 What happens if AI spending slows down 00:41:35 Where the biggest risks are in the AI stack 00:44:26 Where GMO is positioned vs the S&P 500 00:48:00 How new ideas enter a quality portfolio 00:51:00 Sell discipline and portfolio turnover 00:53:00 International vs US quality investing

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The Risk at the End of the Whip GMO’s Tom Hancock on Finding Conviction Amid the AI Hype is an episode from Excess Returns by Excess Returns.

This episode is 00:58:40 long.

This episode was published on Apr 9, 2026.

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