A new industry report by the Artificial Intelligence Underwriting Company (AIUC) found that more than 90% of insurers' AI agent exposure may sit inside conventional policies never designed for the technology. The exposure is concentrated in cyber, directors and officers, commercial general liability, and technology errors and omissions policies, creating "silent" cover for risks neither expressly included nor excluded. Willis research found the professional liability market shifted structurally between January 2025 and January 2026, with carriers moving from silent AI assumptions to explicit affirmative warranties or absolute exclusions. Gallagher 2026 survey data found that one in five insurance professionals reported their insureds had already experienced losses linked to AI risk. The report notes AI agents differ from chatbots by carrying out tasks, and failures could trigger claims across professional negligence, data breach, fraud, discrimination and cyber lines. Disputes over liability are likely, as illustrated by British engineering firm Arup losing HK$200 million in 2024 after deepfake video calls, and US solar installer Wolf River Electric suing Google for at least US$110 million over alleged false claims from its AI Overviews feature. In Canada, a tribunal ordered Air Canada to pay compensation to a passenger misled by its chatbot. The AIUC report warned that a severe AI event could produce around US$100 billion in direct losses.