NYU教授警告AI崩盘或比互联网泡沫更惨

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 appeared first on The Decoder.