AI Adoption in Insurance: Tension Between Speed and Readiness
Key Questions
What gap exists between AI adoption and insurer readiness?
Carriers are implementing AI faster than they can develop supporting strategies, creating expertise gaps and liability ambiguities. Reports from GlobalData and Willis highlight this confidence gap across the industry.
How is AI creating an insurability problem for insurers?
Willis warns that AI is compounding losses across segments, leading to potential insurability challenges. Data infrastructure bottlenecks further hinder effective scaling in underwriting and pricing.
What opportunities does AI present for embedded insurance channels?
AI subscriptions, with an estimated 50M subscribers, open new pathways for embedded insurance products. A phased, governance-driven approach is recommended for Lloyd's participants to capitalize safely.
Multiple reports (GlobalData, Willis) highlight a growing confidence gap: carriers are adopting AI faster than they can build strategy, with expertise gaps and liability ambiguity as key barriers. Willis warns of an 'insurability problem' as AI compounds losses across segments. Meanwhile, the opportunity in AI subscriptions (50M subscribers) points to new embedded insurance channels. A recent Sollers Consulting article adds that data infrastructure is the critical bottleneck for AI scaling in underwriting and pricing. Lloyd's market participants need a phased, governance-driven approach.