Using AI for Reinsurance | TRP #166

AI is everywhere, but where does it genuinely add value in reinsurance? We unpack where AI helps, where it struggles, and why human expertise still matters. From cost realities to creativity limits, this episode explores how practitioners can adopt AI pragmatically without losing the relationships, judgement, and innovation that drive the market.CONNECT WITH US:Say Hello: ⁠[email protected]⁠Website: ⁠https://www.supercede.com⁠ LinkedIn: https://www.linkedin.com/company/supercedehq X: ⁠https://twitter.com/SupercedeHQ⁠ YouTube:⁠ ⁠⁠https://www.youtube.com/@SupercedeHQ⁠ RSS Feed: ⁠https://anchor.fm/s/7e741c8c/podcast/rss⁠ OUTLINE & TIMESTAMPS:00:00 Intro00:54 What AI Actually Is02:03 Hallucinations & Why Models Guess04:10 Where AI Works (and Where It Doesn’t)05:44 AI Use Cases in Reinsurance 09:30 ROI Reality Check for Enterprise AI Spend11:00 The AI Arms Race & IPO Economics13:04 Can AI Truly Innovate in Reinsurance?16:00 “AI Slop” Reinsurance Products17:05 Data Scarcity in Reinsurance vs Other Industries20:04 Trust, Relationships & the Human Advantage22:12 Efficiency vs Value 23:24 Where AI Actually Helps Practitioners24:40 Balancing Technology with Human Expertise