ETFs · Podcast

Rob Arnott on the Hidden Costs of Passive Investing and the Real Winners From AI

For wealth professionals who use or evaluate index exposure, the episode frames what passive ownership embeds, including index membership rules and implementation costs that do not show up in an expense ratio. It also offers a grounded discussion of AI value capture, hardware obsolescence and research discipline.

Streams from the publisher’s own feed. Nothing loads until you press play.1 hr 9 min

On the publisher’s site

Summary

By the etfs desk

Rob Arnott joins the podcast to discuss S&P 500 concentration, index construction and the hidden costs of passive investing. He examines whether owning today's market leaders is the same as owning tomorrow's biggest winners, and covers AI's shift toward capital-intensive business models, GPU depreciation, intangible assets and index inclusion dynamics.

Arnott examines S&P 500 concentration and argues that owning today's market leaders is not necessarily the same as owning tomorrow's biggest investment winners.
He discusses why index additions can create hidden costs and why he would consider buying a richly valued IPO before index funds have to buy it.
The conversation covers AI's shift toward capital-intensive business models, GPU depreciation, intangible assets and the risk of rapid hardware obsolescence.
He emphasizes testing investment ideas rather than chasing impressive backtests.

Chapters

From the publisher’s description

Time	Chapter	Length
	Rob Arnott on index concentration and AI’s future winners	12 min
	What S&P 500 investors own and pay for	8 min
	Why Rob Arnott would buy before index inclusion	5 min
	Hidden index costs and fundamental membership rules30:37 Passive investing’s embedded decisions	11 min
	Big Tech’s shift from asset light to capital intensive	6 min
	GPU depreciation and economic obsolescence	4 min
	R&D, intangible assets, and value investing	4 min
	How durable are competitive moats?	8 min
	Using AI in business and investment research	6 min
	Performance chasing and the backtest trap	4 min

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