In Prediction Machines, economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb strip away AI hype by recasting artificial intelligence as a dramatic drop in the cost of prediction. By framing machine learning as cheap prediction, the authors provide a clear, practical framework for business leaders and strategists. They demonstrate how predictive tools reduce uncertainty, increase productivity, and reshape decision-making. While the book can feel repetitive, its grounded economic insights and tactical tools—like the AI Canvas—make it an essential guide for navigating AI implementation.
