Emmanuel Candès, Chair of Mathematics and Statistics at Stanford, dives into the transformative role AI plays in making predictions across various fields. He discusses how traditional models like weather forecasts are evolving, embracing 'black box' systems for significant accuracy gains. Topics include the integration of AI in everything from college admissions to drug discovery and the challenges of interpreting machine learning outputs. Candès also highlights the crucial importance of teaching statistical reasoning for better understanding and reliability in predictive analytics.