Insurers exclude AI liability from standard policies as specialist market forms

Major insurers have won approval to exclude AI-related damages from standard policies, with regulators approving over 80% of exclusion requests. Specialist carriers are stepping in to fill the gap, but coverage now hinges on technical documentation.

Categorized in: AI News Insurance
Published on: May 02, 2026
Insurers exclude AI liability from standard policies as specialist market forms

Insurers Cut AI Liability Coverage, Sparking Specialist Market

Major commercial insurers have obtained regulatory approval to exclude artificial intelligence-related damages from standard policies, creating coverage gaps that specialist carriers are moving to fill. State regulators approved more than 80% of exclusion requests, with Florida, Connecticut and Maryland leading approvals.

The Insurance Services Office introduced two optional endorsements that carriers are adopting at policy renewals. These endorsements cover bodily injury, property damage and personal and advertising injury tied to generative AI outputs-including defamatory content and intellectual property infringement.

Some carriers, including Berkley, have implemented absolute AI exclusions across directors-and-officers, errors-and-omissions and fiduciary-liability lines. Because ISO forms underpin roughly 82% of U.S. property-and-casualty policies, these changes will spread quickly as policies renew.

What This Means for Your Business

Companies deploying generative AI now face a narrower set of coverage options. Standard policies no longer protect against harms tied to AI model outputs or training practices, shifting legal and financial exposure to the business itself.

Insurers are requiring narrower, well-scoped contracts when AI risks are involved. This means stronger testing documentation, clearer incident reconstruction procedures and measurable failure modes become prerequisites for underwriting approval.

Technical controls now carry market value. Carriers evaluating AI liability will examine model provenance, adversarial testing results, explainability metrics and observability logs. Companies that maintain detailed documentation of model development, validation and deployment gain leverage in negotiations.

What to Monitor

  • State regulatory filings and ISO adoption rates at renewal windows
  • Disclosure language changes in standard policy forms
  • Product announcements from specialist insurers and insurtechs entering the AI liability space
  • Premium structures tied to specific technical controls rather than blanket exclusions
  • Legislative or regulatory efforts to standardize AI liability definitions

Practitioners should track whether new market entrants tie coverage terms and pricing to concrete technical practices. This could create competitive pressure on mainstream carriers to offer more granular coverage options.


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