AI Disruption Differs in Private Markets

🔑 Key Takeaways

• •AI disruption in private markets progresses slower than in public markets due to opacity, lack of real-time pricing, and longer timelines to identify winners and losers, as noted by Morgan Stanley's Vishwanath Tirupattur[1][2][7]
• •Private equity firms are increasingly using AI for underwriting, operational improvements, and value creation, with only 6% currently seeing high impact but 70% expecting it in 3-5 years[1]
• •Dispersion among portfolio companies is accelerating, favoring those with proprietary data, mission-critical workflows, and deep AI integration, while others face substitution risks from AI-native solutions[1][2]

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline