2026 Global AI Report

Highlights

• Insurance AI leaders align AI directly to underwriting performance, claims outcomes, and growth.
• Centralized governance enables AI to scale safely under regulatory scrutiny while maintaining speed and control.
• Front-office AI in distribution, marketing, and customer engagement is emerging as the clearest competitive differentiator.
• Rebuilding core systems with embedded AI — not bolt-ons — enables explainability, integration, and long-term advantage.

Key findings

• 85.8% of fully aligned insurers report ≥5% profit uplift from AI
• 66.7% of AI leaders deploy AI in front-office growth use cases (vs. 35.3% of laggards)
• 67.4% of AI leaders use centralized governance to scale with control
• 40.0% of AI leaders move fast vs. 23.5% of laggards
• 58.3% of leaders rebuild core systems with embedded AI vs. 6.5% of laggards

FAQ

What defines an AI leader in insurance?
AI leaders in insurance fully align AI strategy with underwriting performance, claims outcomes, and growth objectives. 85.8% of fully aligned insurers report at least a 5% profit uplift from AI. Leaders move beyond pilots, embedding AI into core underwriting, claims and distribution workflows with centralized governance and clear executive accountability.

Why is AI investment accelerating among leading insurers?
71.7% of insurance AI leaders already describe their AI investment as very significant, with 63.0% planning further increases. Leaders tie investment directly to measurable outcomes such as loss ratio improvement, claims efficiency and growth, then reinvest based on results — creating a compounding advantage over laggards.

What separates leaders in insurance from laggards?
Insurance AI leaders prioritize growth-focused use cases (66.7% vs. 35.3%), move faster to deployment (40.0% vs. 23.5%), and adopt centralized governance (67.4% vs. 23.5%). They also rebuild core systems with embedded AI (58.3% vs. 6.5%), while laggards remain constrained by fragmented pilots and legacy architectures.

Why is centralized governance critical in insurance?
In a highly regulated industry, governance enables scale. 67.4% of insurance AI leaders use centralized governance models to ensure consistent model validation, auditability, and risk control. This allows insurers to deploy AI across underwriting and claims with confidence while meeting regulatory expectations.

Where is AI creating the most value in insurance?
AI delivers the greatest impact when applied to core insurance workflows. Insurance AI leaders focus on underwriting precision, claims triage, fraud detection, pricing and distribution. Some 66.7% prioritize front-office use cases, while 86.7% also apply AI across back- and mid-office operations — combining growth and efficiency to drive measurable performance gains.