The private equity secondaries market has evolved from a niche segment into a crucial $100+ billion marketplace, representing approximately 10% of global private equity transactions. Yet, despite this growth, significant challenges remain in asset selection and pricing. This article demonstrates how artificial intelligence (AI) - particularly machine learning and natural language processing - is revolutionizing secondaries investing by uncovering predictive signals hidden in qualitative data that traditional metrics miss. Groundbreaking research examining thousands of GP reports across multiple funds reveals how the “tone” of management communications can predict future performance more accurately than conventional metrics alone. For investors navigating the complex secondaries market, embracing AI-driven approaches to augment human judgement is rapidly becoming not just an advantage but a necessity for sustainable competitive edge.