Insurability Challenges of AI in Insurance Industry: Insights from RAND Study

The insurability of artificial intelligence (AI) faces critical challenges due to fragmented insurer policies and a lack of clear guidance, according to a recent RAND Corporation study.

The report, titled "The Insurability of Artificial Intelligence," highlights uncertainties in AI insurance coverage arising from inconsistent market responses. While some insurers explicitly cover AI-related losses, others enforce broad exclusions, with many avoiding the topic entirely. This creates confusion for businesses that rely on AI technologies, as insurance policies often do not address AI incidents directly. Consequently, claims such as those involving misleading chatbot advice can lead to varying interpretations by insurers, resulting in professional error, cyber incident, product liability, or general liability claims.

The Complex Landscape of AI-Related Insurance Coverage

The RAND study indicates that AI incidents potentially affect multiple insurance lines, complicating the claims process. Coverage may intersect across technology errors and omissions (E&O), professional liability, cyber insurance, and directors and officers (D&O) policies. Insurers may dispute which policy should respond when AI incidents resemble several types of claims simultaneously, adding to the existing confusion.

In response to these complexities, insurance companies are starting to address coverage gaps. For example, Verisk's Insurance Services Office (ISO) has developed optional exclusions for generative AI in commercial general liability policies. These exclusions aim to clarify coverage scopes and ensure insurers and policyholders understand their risks. Companies like Berkley have adopted AI exclusions across specialty lines, while AIG, Great American, and Chubb are considering similar measures. However, variations in adoption persist.

Emerging Regulatory and Market Trends

The introduction of AI exclusions around mid-2025, especially in commercial umbrella and general liability policies, marks a significant shift in the insurance industry. Insurers are moving from silent policy language to specific exclusions or clear coverage delineations, reflecting a growing acknowledgment of hidden AI risks in existing policies. This shift also unveils potential systemic risks including universal vulnerabilities and the reliance on shared models, which could cause widespread losses.

The RAND report urges regulators, like the National Association of Insurance Commissioners (NAIC), to standardize AI Coverage Notices. These notices would help insurers clearly communicate AI coverage status, enhancing transparency and aiding policyholders and brokers in navigating the insurance landscape more effectively.

Key Takeaways for Insurance Professionals

• AI-related claims can span multiple insurance lines, leading to interpretation challenges.
• Insurers are increasingly introducing specific AI exclusions, impacting commercial policies.
• Regulatory standardization is essential to address systemic risks and enhance policy clarity.
• Some specialty insurers offer affirmative AI coverage, but solutions remain diverse and nascent.
• Cautionary measures include narrower coverage terms and higher retentions amid data uncertainty.

Future Implications and Industry Outlook

As claims data becomes more extensive and legal theories evolve, insurers will likely maintain cautious approaches with narrower coverage terms and higher retentions. Specialty market players, such as Munich RE and the Artificial Intelligence Underwriting Company (AIUC), are providing affirmative AI-liability coverage tailored for tech-sector clients. However, comprehensive solutions remain in early stages.

The RAND study emphasizes that diverse insurer approaches are inevitable, but the lack of policy clarity presents significant hurdles for insureds. Differing interpretations of coverage coupled with an absence of uniform guidelines challenge brokers and policyholders. As AI technologies progress, the insurance industry must adapt and embrace regulatory collaborations to meet emerging coverage needs effectively.