Why AI Stocks Are Overvalued + Are Networking Events Actually Worth It?

Scott Galloway opens this episode of The Prof G Pod with a blunt assessment: the AI hype cycle is about to hit a wall. He is bullish on the technology itself but bearish on the stocks, predicting a "serious drawdown" as the market shifts from the experimentation phase into what he calls the "ROI era." The episode then pivots to a very different kind of question—whether a young entrepreneur should spend scarce capital on a prestigious networking event—before closing with a personal reflection on the value of physical suffering and knowing one's true limits.

The Coming "Era of Disappointment" in AI

Galloway’s central argument is that AI spending is surging, but the returns are not yet materializing for most organizations. He cites a survey of 6,000 senior executives where 90% reported AI having no impact on productivity over the last three years. A 2024 MIT study found that for 77% of vision-based tasks, it is still cheaper to employ humans. Even Nvidia’s VP of applied deep learning has admitted that, for his own team, AI costs more than the employees themselves. Galloway sees this as a classic sign that the market has entered a dangerous phase: valuations are pricing in a future that the technology has not yet delivered.