NYU Finance Professor Warns an AI Crash 'Would Be More Painful Than the Dot-Com Bust'

The Decoder (via LLM-Stats)·low signal

A counter-narrative analyst take (June 20): an NYU finance professor argues a potential AI downturn would hurt more than the dot-com collapse because today's buildout is heavily debt-financed against physical infrastructure (data centers, power) rather than equity-funded software. Single-source commentary, not a data release — included as a signal of hardening skepticism around AI capex.