Part 1 of 2: The Coverage Landscape
AI adoption is accelerating across every industry, and the commercial insurance market is responding in ways many policyholders haven’t yet noticed. Most business insurance policies were written before widespread AI adoption.
Some insurers are updating policy language and introducing exclusions to address AI-related risks, often narrowing rather than expanding what’s covered. On the other side of the coin, a few carriers have added language to policies that affirm coverage for AI-related exposures and claims. In this first installment of a two-part series, we’ll examine what all of these changes mean and how insurance professionals can help clients navigate them.
Why AI Is Exposing Gaps in Commercial Insurance Policies
For years, most commercial liability policies were silent on AI-related exposures. In some cases, some clarity is being introduced. Effective January 2026, the Insurance Services Office (ISO) introduced generative AI exclusion endorsements for its commercial general liability (CGL) coverage forms.
Since most insurers use ISO-based forms, the market impact is expected to be significant, with endorsements potentially excluding coverage for third-party bodily injury, property damage, and personal and advertising injury losses stemming from generative AI outputs. The changes extend well beyond CGL.
The AI Exclusions Reshaping Commercial Lines Coverage
Professional liability and E&O is seeing the most aggressive exclusion activity, with some insurers broadly restricting coverage for losses tied to AI-powered professional services. This is a concern for businesses using AI in client-facing operations.
Directors and officers liability is evolving around AI governance risk. Insurers are scrutinizing AI-related disclosures during underwriting, with particular concern around “AI-washing” — that is, companies accused of overstating their AI capabilities to investors.
Fidelity and crime policies, which generally exclude cyber fraud, also exclude AI-enabled fraud. Deepfake schemes and business email compromise scams typically don’t qualify as “direct theft” under traditional policy terms.
Cyber is the exception. Insurers here are largely affirming AI-related losses, covering incidents like AI-driven ransomware attacks. However, cyber coverage doesn’t extend to bodily injury or property damage, meaning it can’t fill the gaps left by other policies.
What Policyholders Should Prioritize Before Renewal
There are three actions that can be taken before the next renewal cycle. First, document and, when asked, disclose AI usage. Undisclosed AI exposure can give carriers grounds to deny claims.
Second, review policies beyond the declarations page, where AI exclusions often live in the endorsements section. Finally, don’t assume cyber coverage fills other liability gaps, especially for businesses with meaningful E&O exposure.
A Fast-Moving Target
This landscape is still taking shape. ISO’s generative AI endorsements are new, carriers are actively testing different approaches to exclusions and affirmative coverage, and regulators are only beginning to weigh in.
What’s true about AI-related coverage today may look different by the next renewal cycle. Staying current and revisiting these conversations regularly rather than treating them as a one-time fix will be vital as the market continues to adjust.
Part 2 Preview: What Advisors Can Do With This Information
Understanding the coverage landscape is important context for the totality of the conversation. In Part 2, we’ll explore what insurance advisors can do to position themselves as the go-to resource for clients navigating AI-related coverage risk, and how the right tools make that advisory role scalable.
And if you’re thinking about how AI can strengthen your own advisory capabilities, explore Zywave Apex, the first AI growth platform purpose-built for insurance distribution.
