After years of experimentation and pilot programs, 2026 marks the transition from pilots to production deployments. Most carriers have AI in production, but almost none have achieved widespread adoption. The top production use cases are all variations on AI reading and summarizing documents. Efficiency gains are real; differentiation is ahead. The ones who think they’re getting an edge are probably wrong. Agentic AI has crossed from concept to early production.
Two variables explain most of the variation in AI outcomes: data readiness and deployment maturity. Carriers that build data infrastructure in parallel, not after the fact, and deploy AI where decisions are made rather than following the same roadmap as their peers are more likely to achieve true lasting advantage and competitive differentiation.
This report examines the current state of AI implementation across the property and casualty insurance value chain, based on a comprehensive survey of North American insurance executives conducted in Q1 2026. The analysis reveals a complex landscape where enthusiasm for AI meets reality, with significant variations in adoption rates, ROI realization, and perceived value across different functions and lines of business.
Clients of Datos Property & Casualty service can download this report.
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