Chatbots, Investor Coordination, and Financial Fragility
This paper studies the adoption of AI investment tools in a noisy rational-expectations market. Retail investors can adopt an AI technology that pools the positions disclosed by its users and thereby provides information about aggregate liquidity conditions, which helps them interpret market prices. The technology contains no information about fundamentals. Adoption affects equilibrium trading and price informativeness, so the private value of the technology depends on its market-wide use. I characterize the competitive linear rational-expectations equilibrium and the associated adoption incentives. Because the AI signal multiplies the precision of the information that the price contains, rather than adding to it as a signal about fundamentals would, its value can rise with price informativeness. Greater adoption makes prices more informative, so AI adoption can be a strategic complement at stable trading equilibria, including unique ones. Adoption can then have multiple equilibria, and small changes in the cost of the technology or in expectations about its use can produce discrete changes in adoption and price informativeness
