76% of Insurers Think They Lead in AI. Only 6% Actually Do.

What EXL’s 2026 Enterprise AI Study reveals about the gap between AI adoption and lasting competitive advantage.

AI adoption in insurance is accelerating. But AI leadership remains rare.

That is one of the clearest findings from EXL’s 2026 Enterprise AI Study. According to the insurance-specific research, 76% of insurers believe they are ahead of competitors in AI adoption, yet only 6% qualify as AI Leaders.

For insurance executives, that gap matters because the question is no longer simply, “Are we using AI?” The more important question is: “Is AI creating measurable business value at enterprise scale?”

Adoption is becoming the baseline

Across insurance, AI is already being applied to fraud detection, customer servicing, risk management, claims, actuarial analysis, underwriting, pricing, and other core workflows.

A few years ago, launching an AI pilot could differentiate an insurer. Today, pilots are common. The real advantage is moving toward execution: scaling successful use cases, embedding AI into workflows, and connecting technology investment to clear operational and financial outcomes.

That means measuring more than the number of models or proofs of concept. Leaders need to ask whether AI is improving productivity, reducing processing time, strengthening risk decisions, improving customer experience, and delivering a repeatable return on investment.

The biggest AI challenge may still be data

EXL reports that 92% of insurance executives say their data is a challenge to AI success. That finding is especially relevant in an industry shaped by legacy platforms, siloed information, unstructured documents, and complex operating environments.

AI can unlock significant value from insurance data, but it cannot fully compensate for weak data foundations. Data quality, accessibility, integration, governance, and responsible AI controls are becoming strategic capabilities — not simply technology functions.

Agentic AI raises the stakes

The study also points to the growing role of agentic AI. In insurance, agentic systems could help orchestrate multi-step workflows across risk management, actuarial, underwriting, pricing, customer experience, and fraud detection.

The opportunity is significant, but so is the need for governance, transparency, and human oversight. The insurers that lead may not be those that automate the most. They may be those that identify where greater autonomy can create measurable value while maintaining the right controls.

The real AI race is about execution

The central takeaway is simple: AI adoption is becoming expected. AI execution is becoming the competitive advantage.

For insurance leaders planning the next phase of AI investment, EXL’s study offers a useful benchmark for evaluating AI maturity, data readiness, enterprise scale, and the business outcomes that separate leaders from organizations still operating in pilot mode.

By the InsurTech Express Team