This research note examines whether the current AI investment cycle is a simple replay of the 2000 dot-com bubble. It argues that substantial existing cash generation and real commercial demand distinguish much of today’s AI buildout from the most speculative parts of the dot-com era, while emphasizing that genuine technology adoption can still lead to overinvestment. The note focuses on capital allocation, infrastructure financing, cash-flow quality, and the risk that capacity expansion may outpace economically productive demand.
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William Chang (2026) studied this question.
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