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Everyone's calling this an AI bubble — but is it actually one, or are we all just panicking because Michael Burry made a bet? This week, I sit down with Dr Richard Peterson, the behavioural economist behind MarketPsych (once dubbed "Wall Street's top psychiatrist" by the AP), to actually measure the psychology behind the AI trade instead of just vibing about it.
We get into why sentiment data has been sliding since October, why this bubble is more "sober" than dot-com (spoiler: these companies actually make money), what really happened when Burry's Nvidia and Palantir puts went public, and why companies outside AI are getting punished for not having an AI story to tell.
Then we go somewhere most bubbles take a skip entirely: the layoffs. AI was cited in roughly 40% of all US job cuts in May 2026 — the highest share on record — and Gartner's own research found no link between those cuts and any actual return on investment. So is this discipline, or just a story markets want to hear?
- 00:00 Why Markets Crash
- 00:43 AI Hype And Bubble Risk
- 01:43 Nvidia Shock And Guest Intro
- 02:58 How Sentiment Data Works
- 04:56 AI Sentiment Cycles Since ChatGPT
- 06:10 Dotcom Parallels And Competition
- 09:42 Speculation Signs And IPO Liquidity
- 11:58 Influencers And Herd Psychology
- 15:09 Winners Losers In AI Supply Chain
- 17:22 Jobs Narrative And Real Data
- 19:54 Are We In A Bubble
- 22:03 Bullish Bearish Wildcards
- 23:13 Wrap Up And Post Chat
