Only 10% of P&C Insurers Are Scaling AI Successfully, Creating a Widening Competitive Gap
Property and casualty insurers face a stark divide: the 10% treating AI as a core operating capability are posting 21% higher revenue growth and 51% greater share price increases than their peers over three years, according to Capgemini's 2026 World Property & Casualty Insurance Report.
The rest of the industry remains stuck. Sixty percent of insurers are still in exploration or proof-of-concept stages, unable to move beyond pilots into enterprise-wide deployment.
The Measurement Problem
A fundamental barrier blocks progress: 42% of insurers track no AI metrics at all. Without measurement, they cannot validate what works or justify continued investment.
The result is predictable. Fifty-five percent report unclear ROI on AI initiatives. Nearly the same number cannot identify who owns AI strategy at their firm, leaving responsibility scattered across individuals and small teams with no mandate for company-wide impact.
Where the Money Goes-and Where It Doesn't
P&C insurers commit 72% of AI spending to technology and infrastructure. Only 28% goes to change management, training, and organizational adoption.
This imbalance explains why so many initiatives stall. Two-thirds of insurers report AI skill shortages. Nearly half of employees with access to AI tools report their workday is unchanged after 18 months of use.
What Separates Winners From the Rest
The 10% of "intelligence trailblazers" invest differently. They are nearly four times more likely to fund change management beyond basic training. They are nearly three times more likely to build explainable AI infrastructure that builds confidence across the organization. They embed AI accountability directly into job descriptions.
These insurers treat AI as a strategic capability, not a tool set. They align strategy, talent, technology foundation, and organizational adoption simultaneously.
The Trust and Collaboration Gap
Forty-three percent of employees cite job security as a top concern. Only 14% are clear on how AI fits into their work.
Most AI tools still operate at the individual task level, yet 49% of employee time goes to cross-team collaboration. Data readiness lags as well-only 12% of insurers report very high data maturity despite heavy reliance on unstructured information.
The Path Forward
The report outlines a model for the future insurer: executives set strategic direction and define boundaries for human-AI collaboration. Skilled employees handle complex decisions using real-time insights. AI agents automate routine, repetitive work. Orchestration managers align business strategy with AI principles across the enterprise.
Reaching this state requires three shifts. First, embed AI into everyday collaboration and decision-making workflows. Second, strengthen data foundations. Third, redesign processes for agents and automation.
The research draws from interviews with 344 senior executives at major P&C insurers, surveys of 809 insurance employees across underwriting, claims, and customer service, and feedback from 1,113 policyholders across the Americas, Europe, and Asia-Pacific.
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