Craft & Code: Able Perspectives

This "AI is revolutionizing..." thing has become a familiar refrain across industries, the journey from artificial intelligence research to practical implementation in private equity (PE) presents unique challenges. Integrating AI into high-stakes PE workflows, from sourcing deals to conducting due diligence and managing portfolios, requires more than just cutting-edge technology. In an industry built on expertise and trust, many investment professionals remain wary of cutting-edge black-box models guiding million-dollar decisions. This article explores the complex barriers between AI's theoretical potential and its practical application in PE, examining integration hurdles, trust issues, and real-world lessons from early adopters. We'll also investigate how bridging this gap requires a two-sided evolution: AI researchers developing more practical, interpretable solutions while PE firms build stronger technological foundations through investments in data infrastructure, talent, and cultural change.

Arnon Bruno V. Santos·Feb 7, 2025