Information Asymmetry

Information asymmetry is a situation where one party to a transaction has more or better information than the other, distorting prices and trust.

In AI labor, sellers know their true quality and cost while buyers often cannot verify either, which lets weak offerings command undeserved prices.

Verified scores and a transaction-anchored rate reduce the asymmetry by giving buyers independent evidence of quality and a market reference for price.