A $2 trillion selloff in software stocks last week exposed the fragility of AI-driven market optimism, as investors recalibrated expectations for which companies will emerge as winners in the artificial intelligence revolution. Deutsche Bank analysts warned that the market had been pricing in a scenario where almost every tech company would come out a winner, a thesis now unraveling as competitive realities set in.

Software companies across legal, IT, consulting, and logistics sectors bore the brunt of the correction, with large language models threatening to disrupt existing service offerings. JPMorgan analysts calculated the staggering market cap losses, while Deutsche Bank's Jim Reid noted that markets had been operating on overly optimistic expectations until recently. The selloff reflects a growing recognition that AI's transformative potential will create both winners and losers rather than universal prosperity.

Even JPMorgan CEO Jamie Dimon, an AI advocate, cautioned that some asset prices have entered bubble territory, distinguishing between AI and generative AI applications. Wharton professor Jeremy Siegel argues that investors are now asking the right questions about capital expenditures and competitive moats in an environment where technology evolves at breakneck speed. Deutsche Bank's Reid suggests the market may be overreacting, with disruption in traditional sectors feeling overdone given the limited evidence available to identify true long-term winners and losers.