Insurance Market Splits on AI Risk as Adoption Outpaces Governance
Insurance companies are deploying artificial intelligence across underwriting, claims processing and cyber defense faster than they can establish oversight frameworks to manage the risks it creates, according to research from Willis. The gap between adoption speed and governance readiness is forcing a reckoning across the industry on how to underwrite AI-related losses that traditional policies were never designed to cover.
More than 700 million people now use leading AI systems weekly, with the technology embedded into operational infrastructure, customer interactions and executive decision-making. Yet most organizations moving forward lack full understanding of the systems they depend on, said Spike Lipkin, chief AI officer at Willis.
"AI is already reshaping the risk landscape in real time, but many organizations are moving forward without fully understanding the systems they rely on," Lipkin said. "That creates a dangerous gap between innovation and oversight."
Coverage Disputes Emerging Across Multiple Policy Lines
The market is diverging sharply on how to respond. Some insurers and brokers rely on traditional policy wording with "silent AI" assumptions-language that neither explicitly includes nor excludes AI-related losses. Others are introducing affirmative AI coverage tied to governance and control requirements.
One in five insurance professionals surveyed by Gallagher reported their clients had already experienced losses linked to AI risk. Yet most policy wordings span cyber liability, professional indemnity, errors and omissions, employment practices liability, product liability and directors and officers coverage-none designed with AI in mind.
Between January 2025 and January 2026, the professional liability market experienced a structural shift. Firms without documented AI governance frameworks now face coverage denials at renewal, the report found.
New Products and Standards Addressing the Gap
Product innovation is beginning to fill the void. Armilla Insurance Services launched an AI liability policy underwritten at Lloyd's in April 2025, offering affirmative coverage for AI-related risks including model hallucinations and performance deterioration. Google partnered with Beazley, Chubb and Munich Re to embed affirmative AI coverage within Google Cloud services.
An ISO form effective January 2026 allows carriers to exclude bodily injury, property damage and advertising injury from generative AI in standard commercial general liability policies. The change is reshaping renewal conversations across the market.
Governance Now a Business Requirement, Not Optional
2025 discussions centered on testing and exploring AI. 2026 conversations have shifted to deployment, scaling and integration. That acceleration makes the governance questions raised in the Willis report more urgent.
The accountability gap is no longer a technology question. It is a governance, liability and trust challenge that business leaders and IT managers must address directly. Organizations deploying AI without clear oversight frameworks face both coverage uncertainty and potential liability exposure.
For those responsible for AI deployment, the message is clear: governance frameworks must keep pace with adoption, or the market will enforce the requirement through coverage denials and exclusions.
Learn more about AI for Insurance and AI for Management to understand how organizations can implement responsible oversight.
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