CONCEPT
Information Asymmetry
The structural condition — formalized by Akerlof, Spence, and Stiglitz — in which one party to a transaction knows more than the other, producing outcomes that favor the informed at the expense of the uninformed and making the invisible hand fictional in exactly the markets that matter most.
Information asymmetry is the foundational concept of Stiglitz's Nobel-winning work and the analytical key to understanding what AI does to markets. When buyers cannot distinguish good products from bad, when employers know more than workers about the tools being deployed, when platforms know more than users about how data is being processed — markets do not converge on efficient outcomes. They converge on outcomes that transfer value from the less-informed to the more-informed. The AI economy creates the largest, fastest-moving information asymmetry in the history of markets, operating simultaneously between model builders and deployers, between employers and workers, and between platforms and the knowledge ecosystem they consume. Each asymmetry distorts prices, misallocates resources, and produces distributions the market cannot self-correct.
In The You On AI Field Guide
Stiglitz, along with George Akerlof and Michael Spence, received the 2001 Nobel Memorial Prize for demonstrating that information asymmetry is