AI Is Everywhere in Insurance. The Real Race Has Just Begun

The Earnix 2026 Insurance Trends Report reveals how data, governance, and personalization are defining the next frontier of insurance innovation

BOSTON--(BUSINESS WIRE)--Earnix, the first AI company purpose-built for insurance, has released its fourth annual Insurance Trends Report, The Race to Reinvent. For the first time, AI integration in insurance is near-universal, with 81% of executives reporting that it is embedded across most or some of their workflows. Yet the same data reveals much of this progress is still happening through targeted, function-specific improvements rather than fully connected, enterprise-wide decisioning. That gap between adoption and operational impact is now the defining challenge of 2026.

The headline finding is clear: AI has become the central engine of insurance modernization, but widespread adoption has not yet translated into business value at scale. Many insurers are advancing AI integration across the enterprise, but too often through discrete use cases that improve individual processes without creating the connected capabilities needed to transform decision-making across pricing, underwriting, claims, and customer engagement.

According to the report, 81% of executives say AI is now integrated into workflows across most or some business functions, a sharp increase from prior years. But while adoption is accelerating, much of this progress remains focused on targeted, one-off improvements rather than the connected, enterprise-wide capabilities insurers need to turn AI investment into meaningful business impact. The same tension is evident in generative AI adoption: 80% are already experimenting with or planning to adopt generative AI in the next two years, while 56% favor a gradual approach that keeps human intervention in place for at least the next three years.

Despite widespread adoption, the depth of integration reveals a significant opportunity. Fewer than a quarter of insurers currently use AI for claims processing (23%), only 18% use it for policy issuance, and just 15% use it to predict churn. AI is entering the enterprise, but the foundations required to scale it with confidence are still catching up.

"For years the conversation in insurance was about AI readiness. That chapter is behind us. What we're seeing now is an industry gaining the confidence to ask harder questions — not just where can we apply AI, but where will it move the needle for the business and bring greater value to the customer," Kathy Klingler, Chief Marketing Officer of Earnix, said.

The report, based on a survey of 400 global insurance executives, identifies three findings that will define competitive advantage in 2026: the gap between AI adoption and AI maturity; the growing weight of compliance as a strategic lever; and the widening distance between what customers expect and what insurers can actually deliver.

Regulatory Readiness Becomes a Competitive Advantage

The 2026 data suggests regulatory readiness is becoming a competitive differentiator, not just a cost of doing business. According to the report:

• 92% of insurers conduct formal AI governance reviews with a regular cadence.
• Fewer than one in three executives strongly agree those reviews are sufficient to keep pace with regulatory demands.
• 38% cite regulatory and legal exposure as their primary ethical concern in AI deployment.
• 16% rank data security and privacy regulations as the most impactful compliance factor over the next two years, ahead of AI regulation at 13% and ESG requirements at 12%.

The regulatory landscape is not uniform. The EU’s AI Act and Solvency II demand extensive oversight. The US faces a fragmented state-by-state framework layered on federal privacy debates, and Japan and Australia are tightening solvency and reporting standards, forcing global insurers to adapt at uneven speeds.

"Regulatory trust is becoming one of the most valuable assets in insurance. The insurers building it into their AI from the start won't just avoid exposure — they'll earn the kind of confidence from regulators, partners, and customers that others will struggle to buy back later," Klingler said.

Data Quality Remains the Constraint AI Cannot Solve Alone

If AI is becoming the engine of insurance modernization, data quality remains the constraint that determines how far and how fast it can go. The report highlights:

• 83% of insurance executives are concerned that their AI models are being trained on inaccurate or incomplete data.
• 39% say data security and privacy settings are the most significant challenge affecting AI adoption.
• 83% plan to increase investment in third-party data in the next three years, a 6% increase since 2023.
• Two in three executives say poor data quality is actively slowing decision-making and limiting AI effectiveness.

The gap between investment intention and confidence in outcomes remains significant. Even as insurers plan to increase data investment, only 30% say they can quickly obtain the information they need, and just 46% believe their technology provides adequate speed for their decisioning needs.

“Insurers are not short on AI ambition or data. The challenge is that too much of that data still sits in disconnected systems, inconsistent formats, or workflows that make it difficult to use at the speed the business requires,” said Erez Barak, CTO at Earnix. “To make AI operational, carriers need a governed way to access first- and third-party data, normalize it, and connect it directly to the decisions that shape pricing, underwriting, and customer engagement. That is where AI moves from experimentation to measurable impact.”

Personalization is Now the Price of Entry

Consumer expectations are increasingly shaped by digital experiences outside insurance, where relevance, speed, and transparency are standard. The report suggests insurers recognize that shift, but many still lack the capabilities to personalize at scale.

• 20% of executives identify digital engagement as the most important consumer behavior shift reshaping their market.
• Only one in four insurers say they can currently deliver personalized experiences at scale.
• Four in five insurers believe they meet customer expectations for self-service and speed, even as many still struggle to deliver tailored, contextual interactions.

"In insurance, the moment of truth is the interaction with the customer — whether that is a call center conversation, a renewal, or a digital touchpoint. The insurers pulling ahead are those breaking down the walls between back-office decisions and front-line customer conversations. And when that happens, loyalty follows — along with real opportunities to cross-sell and upsell. Insurers who bridge those two worlds won't just retain more customers — they'll grow them," Klingler said.

From AI Adoption to AI Readiness

While everyone is watching AI announcements, the real race is happening somewhere else entirely — in the infrastructure and governance decisions that make AI possible. The insurers who understand that are the ones pulling ahead.

The full 2026 Earnix Insurance Trends Report, The Race to Reinvent, is available at earnix.com.

About the Report

400 global insurance executives were surveyed across Australia, Europe, the UK, the United States, and Canada, representing carriers of varying sizes. The survey was conducted independently by Market Strategy Group, LLC on behalf of Earnix.

About Earnix

Earnix is the first AI company purpose-built for insurance, providing the industry with the intelligence, governance, and operational agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. As the most trusted AI technology provider in insurance, Earnix builds on more than 25 years of experience in artificial intelligence, risk, pricing and rating to extend intelligent decisioning across the enterprise. Earnix sets a new standard for how insurers orchestrate intelligence across the insurance ecosystem to drive real-time decisions that deliver measurable business outcomes across pricing, underwriting, and customer engagement.

For more information, visit www.earnix.com.

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