In an interview, valuation professor Aswath Damodaran compares the current AI-driven market boom with the dot-com boom of the late 1990s. He argues that the two cycles differ in key fundamentals, particularly around capital expenditure. Damodaran says the dot-com boom and bust did not involve “huge capital expenditure” during that period, and when the downturn arrived, shareholders experienced large declines in value. He describes losses that range from roughly 60% to 90% depending on the company, adding that the damage was largely borne by shareholders. The discussion frames the dot-com experience as a period where investors’ wealth was sharply reduced during the bust, without the same level of heavy capital spending that could indicate a different kind of underlying investment cycle. The interview does not provide specific new metrics on AI companies’ valuation, but it emphasizes the contrast in how capital spending and where the financial losses fall shape investor outcomes across different market eras.