The Rise of Digital and AI Tools in Auto Insurance Shopping

Auto insurance consumers are increasingly utilizing digital and AI-driven tools to shop for policies, as highlighted by the 2026 U.S. Insurance Shopping Study by JD Power. The research reveals a slight decline in the shopping rate from 57% to 53% over the past year, yet this remains above historical averages. Notably, consumers are now receiving an average of 3.5 quotes, a record figure in JD Power's history, facilitated by mobile apps and AI solutions that simplify insurance comparison.

Harnessing Digital and AI Advancements

Stephen Crewdson, managing director of insurance intelligence at JD Power, emphasizes that the market is transitioning from crisis-driven dynamics to one influenced by digital and AI advancements, despite the easing of pricing pressures. This shift allows consumers to engage more effectively with coverage assessments, thanks to the accessibility provided by mobile and AI technologies.

The study also notes an increase in digital purchases, with 48% of policy acquisitions occurring online, marking a 36% surge from 2021. Additionally, AI tools are impacting consumer behavior by boosting insurer switching rates and enhancing decision-making confidence. These technologies challenge insurers to excel in digital and AI-powered environments, as they convey coverage terms and trade-offs with clarity.

Trends in Auto Insurance: UBI and Embedded Options

Usage-based insurance (UBI) and embedded insurance options are gaining momentum among consumers. The study shows that 30% of recent shoppers enrolled in a UBI program, and 44% consider UBI aspects during purchase decisions. Furthermore, 36% of buyers, particularly younger demographics, express interest in embedded insurance options available through vehicle dealers or manufacturers.

The integration of AI into the insurance sector is evident, with its applications in underwriting, pricing, and risk management. Despite AI's potential to handle large volumes of claims and enhance customer interactions, its effectiveness depends on static data models. Insurers face a critical need for governance to ensure responsible AI deployment during this digital transformation.