GPU Depreciation and Earnings Distortion

Edward Chancellor joins Kai Wu on the latest episode of the Intangible Economy to discuss what financial history and capital cycle theory can teach investors about today’s AI boom. They explore why transformative technologies can still produce terrible investor returns, how overinvestment develops, where anti-bubbles may be forming, and what past episodes like the railway mania, the dot-com bubble, China’s investment boom and the post-2008 interest rate regime suggest about the risks and opportunities today.

Subscribe on Spotify⁠

⁠Subscribe on Apple

Topics covered:

• How capital cycle theory applies to the AI data center boom

• Why railway mania, autos, aircraft and the dot-com bubble offer lessons for today

• Why markets often fund major technology transitions but fail to identify the winners

• The prisoner’s dilemma driving hyperscaler AI spending

• Whether AI demand can justify the supply being built

• How GPU depreciation and AI capital spending may affect reported earnings

• Why hallucinations and reliability may limit the total addressable market for large language models

• The case for looking at AI anti-bubbles instead of shorting the bubble directly

• Why China shows that strong GDP growth does not guarantee strong shareholder returns

• How intangible capital, SaaS valuations and human capital fit into capital cycle analysis

• Whether bubbles can be good for society while still being bad for investors

• Why the long-term interest rate cycle may have changed

• The role of gold in a world of expensive stocks, rising debt and vulnerable bonds

Timestamps:

00:00 Edward Chancellor on capital cycles, bubbles and AI
04:42 Why the railway mania became a classic overinvestment cycle
09:00 Why markets fund technology booms but often miss the winners
13:19 The prisoner’s dilemma behind AI spending
17:30 Will AI demand justify the supply being built
20:00 How capital spending can inflate profits before the bust
25:08 The AI Hindenburg moment and the limits of large language models
30:55 Why AI hype may exceed the proven technology
35:55 Why the anti-bubble may matter more than shorting AI
40:00 The energy transition bubble and the opportunity in overlooked assets
45:08 China’s lesson on GDP growth and shareholder returns
49:27 Big Booze, GLP-1s and the Lindy effect
54:23 Can intangible capital have its own capital cycle
59:54 SaaS valuations and the index creation warning signal
01:04:10 Why bubbles can help society but hurt investors
01:09:09 Why long-term rates may be in a new multi-decade cycle
01:14:07 Why Edward Chancellor still sees a role for gold