Artificial intelligence is reshaping the insurance industry as we head into 2026. From customer interactions to underwriting, policy reviews, and claims processing, insurers are integrating sophisticated AI tools that promise efficiency gains, new insights into risk, and improved service. While consumers show openness to these changes, there is also healthy skepticism about who truly benefits from AI’s emergence in insurance.
Customer Perceptions of AI in Insurance
According to recent data from J.D. Power, many insurance customers are keeping an open mind about artificial intelligence being part of their insurance experience. Tools such as virtual assistants, chatbots, and automated service features are becoming more familiar to policyholders. Despite this openness, a significant share of consumers express reservations about how insurers will use AI and whether the advantages will be shared equitably between companies and customers.
Nearly seven in ten respondents in the J.D. Power survey believe that insurers will reap most or all of the benefits from AI adoption, rather than customers. This gap between acceptance and trust underscores the importance of transparency and clear communication from both carriers and brokers as AI becomes more embedded in insurance processes.
Where AI Is Making Inroads in Insurance
AI is influencing multiple segments of the insurance value chain, including but not limited to:
Customer Service and Support
AI chatbots and virtual assistants handle routine inquiries, policy explanations, and basic service tasks, freeing human representatives for complex, high-value interactions. Further, AI can offer 24/7 responsiveness and instant answers for simple questions.
Underwriting and Risk Assessment
Machine learning models analyze vast data sources more quickly than traditional methods. These systems can improve risk prediction for personal property, auto, and commercial lines by identifying subtle patterns and correlations in claims, loss history, telematics, and external data sets.
Claims Processing
AI accelerates claims handling by automating initial assessments, indexing documentation, and detecting potential fraud. This can shorten resolution times and reduce administrative workload, though human oversight remains critical for nuanced decisions.
Advanced Analytics and Risk Modeling
Specialized AI platforms are being adopted by carriers, insurtech partners, and brokerages to refine catastrophe modeling, property risk evaluation, and predictive analytics across personal, commercial, and group benefits programs. This supports more accurate pricing and tailored coverage options.
Balancing Innovation with Consumer Trust
Despite rapid adoption, consumer attitudes toward insurance AI reveal a trust gap. While many recognize the convenience and promise of automated tools, they remain cautious about how personal data is used and whether AI enhances choice and value for policyholders. Transparency about how AI influences pricing, underwriting decisions, and claims outcomes will be essential in strengthening trust.
This cautious optimism suggests that insurers should make consumer education about AI a priority, helping customers understand the practical benefits and limitations of these technologies.
Looking Ahead to AI in 2026 and Beyond
By 2026, AI is poised to move beyond pilot projects and become a core component of insurance operations. Companies that combine AI capabilities with human expertise stand the best chance of delivering differentiated service and competitive performance. As AI continues to evolve, regulatory frameworks and industry standards will also play a role in how technology is deployed and governed.
For policyholders, this means more personalized experiences and more responsive service, but also the ongoing need to understand how AI-driven decisions affect coverage, pricing, and claims.
Legal Disclaimer: Coverage terms, conditions, and exclusions vary by policy and insurer. The above material is for general educational purposes only and is not a substitute for professional insurance advice. The recommendation(s), advice, and contents of this material do not address every possible legal obligation, hazard, code violation, loss potential, or exception to best practice. SandStone Insurance Partners makes no warranty or representation that following any recommendations herein will render premises, property, or operations safe or legally compliant. Nothing in this material should be construed as establishing or confirming insurance coverage with SandStone Insurance Partners.
