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AI crash could be worse than dot-com bust, warns NYU professor

New York University finance professor Aswath Damodaran has warned that a potential AI market crash could be more severe than the dot-com bubble. He cites the AI industry's heavy reliance on debt-financed physical infrastructure, unlike the software-centric dot-com era. Damodaran also notes that even if AI technology succeeds, its business model of replacing jobs presents significant societal challenges. AI

IMPACT Warns of potential economic instability and societal disruption due to AI's business models and infrastructure investments.

RANK_REASON The cluster consists of opinion and analysis from a finance professor regarding potential economic risks in the AI sector.

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AI crash could be worse than dot-com bust, warns NYU professor

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  1. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    NYU finance professor Damodaran warns an AI crash could hit harder than the dot-com bust

    <p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/06/ai_bear_stock_crash.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> NYU finance professor Aswath Damodaran believes a potent…