We develop a novel measure of trust in the Federal Reserve using Generative Artificial Intelligence to analyse millions of tweets about the Fed, its leadership and its policy framework and decisions. Our measure reacts in an intuitive way to various macro-financial variables and indicators of U.S. monetary policy. To study the effects of trust shocks, we use a narrative identification approach based on ethical scandals embroiling some FOMC members, and we study the effects of these shocks using