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Insurance AI value gap traced to organizational adoption hurdles
Industry data suggests many carriers are still testing AI rather than deploying it at scale, with only 22% having fully implemented solutions in production as of 2025.
Insurance Business reports that the share of revenue insurers spend on AI is projected to triple in 2026, but only 38% of property and casualty carriers are generating value at scale from AI in core workflows, citing BCG AI Radar data from March 2026.
The outlet says the gap is not technical, but instead tied to the human and organizational systems inside carriers. Korn Ferry senior client partner Christopher Orr argues the industry is shifting from “AI experimentation” toward “AI economics,” focusing on how AI changes the speed, quality, and cost of decisions.
Insurance Business highlights an example Orr described, where AI reduced the time for a complex operational approval process from three days to two, but the result disappointed a leader because expectations were framed as broad transformation rather than measurable time savings.
The report also points to adoption lag across the sector, noting a Roots Automation survey of insurers in 2025 found more than 90% were exploring or testing AI, while only 22% had fully deployed solutions in production. It concludes that slower adoption cycles are driven by internal human conditions and the traits needed in AI-forward leadership, including trust building and comfort with ambiguity.