Will Late-Stage Private Supply Hurt Markets?

Aswath discusses the gray zone of large private companies and the risks of scaling before business models exist.

Play episode from 27:42

chevron_right

Transcript

chevron_right

Transcript

Episode notes

My guest today is Aswath Damodaran, a professor at NYU, where he teaches corporate finance and equity valuation.

In today’s episode, Professor Damodaran explains why he trimmed two Magnificent Seven stocks. He digs into AI’s real impact on valuations and moats, why big software incumbents face an Innovator’s Dilemma, and why the biggest risk isn’t tech spending itself, but overconfidence and debt-fueled capex that could ripple beyond tech.

He also weighs in on corporate Bitcoin balance sheets, sports franchises as “trophy assets” driven by billionaire demand rather than cash flows, and the rise of prediction markets.

(0:00) Starts

(0:34) Professor Damodaran on the Magnificent Seven

(7:26) OpenAI's growth, AI's impact on valuations, and software industries

(16:07) High capex investment risks

(23:10) Market timing

(33:43) Trust and the rise of gold and silver

(45:12) Cryptocurrencies on company balance sheets

(47:42) Sports franchises

(52:27) Prediction markets

-----

Follow Meb on X, LinkedIn and YouTube

For detailed show notes, click here