The Hidden C-Suite Risk Of AI Failures

Summary

Insurers are increasingly inserting broad AI exclusions into liability policies (E&O, cyber, D&O and professional liability). These exclusions frequently bar coverage for claims “based upon, attributable to, arising out of, or related to” any use of artificial intelligence — including third-party or vendor AI — and may apply even where AI played only a minor role. The practical effect: organisations and their directors and officers risk uncovered liabilities from AI-related failures, disclosure issues, cyber incidents involving AI, and follow-on investor or regulatory claims.

The exclusions often lack precise definitions of “artificial intelligence,” and may sweep in chatbots, smart portals, automated document tools or security systems that use machine learning. Even where traditional policies remain silent, professional services or tech E&O language may limit coverage to human-delivered services or to software developed by the insured, creating further gaps. In response, some insurers are offering affirmative AI liability products to fill those holes.

Key Points

Insurers are adding sweeping AI exclusions that can deny defence and indemnity for any claim connected to AI use, however remote.
Exclusions frequently cover uses of third-party AI, exposing companies even when their vendors or partners cause an AI failure.
Ambiguous definitions of “artificial intelligence” create uncertainty about what systems are excluded (chatbots, ML models, security tools, etc.).
D&O, E&O and cyber policies may all contain provisions that together leave organisations and executives uncovered for both operational AI failures and follow-on investor or regulatory suits.
Professional services exclusions and limits to human-delivered services can negate coverage for AI-driven work even without an explicit AI exclusion.
Organisations should reassess policies at renewal, seek removal or narrowing of AI exclusions, and consider affirmative AI liability insurance where appropriate.
Engage experienced brokers, coverage counsel and risk advisers early to map AI exposures and fill gaps before claims arise.

Context and Relevance

This is a timely issue as AI becomes pervasive across healthcare, finance, software development and security. Boards and senior executives who assume traditional D&O, E&O or cyber policies will respond to AI-related losses may be dangerously exposed. The trend towards absolute exclusions comes as regulatory and shareholder scrutiny of AI use is rising, and as adversaries increasingly use AI-enabled fraud (deepfakes, sophisticated phishing) that can trigger large losses.

For risk managers, legal teams and company directors, this article highlights a fast-emerging gap between operational AI adoption and the insurance market’s evolving terms. It underscores the need to align insurance architectures with real-world AI use and to proactively negotiate policy language rather than assume legacy coverage will respond.

Why should I read this?

Look — if you sit in the C-suite or advise one, this is not theoretical. AI exclusions can quietly strip away protections you thought you had. We’ve read the legalese so you don’t have to: it explains the traps, the likely claim scenarios, and the steps to fix it before a claim ruins a balance sheet or lands you in a directors’ dispute.

Source

Source: https://corpgov.law.harvard.edu/2025/09/22/the-hidden-c-suite-risk-of-ai-failures/