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

NYU finance professor Aswath Damodaran warns that a potential AI crash could be more severe than the dot-com bust due to massive debt-financed physical infrastructure investments, and even if AI succeeds, replacing entire jobs poses societal risks.

NYU finance professor Aswath Damodaran believes a potential AI crash would be more painful than the bursting of the dot-com bubble because the industry is building massive amounts of debt-financed physical infrastructure rather than lightweight software. Even if AI succeeds, he sees a problem. The actual business model is to replace entire jobs, with unclear consequences for society. The article NYU finance professor Damodaran warns an AI crash could hit harder than the dot-com bust https://the-decoder.com/nyu-finance-professor-damodaran-warns-an-ai-crash-could-hit-harder-than-the-dot-com-bust/ appeared first on The Decoder https://the-decoder.com .