Editor’s note: What follows is an executive summary article exposing one of the most consequential, yet underreported, structural shifts in the commercial P&C market today: the quiet, systematic exclusion of generative AI liability from standard commercial policies. This brief article serves as the introduction to our full, paywalled Intelligence Brief: a dense tactical playbook designed for strategy, product, and go-to-market executives at carriers and brokerages.

Read the summary below to understand the scope of the threat, and decide if it makes sense to access the full brief for the tactical roadmap on how to monetize it.

There is a glaring disconnect between what top property and casualty (P&C) carriers are saying publicly about artificial intelligence and what they are quietly doing to their commercial policyholders. On one hand, industry leaders are championing the efficiency of the technology; for instance, Chubb’s CEO Evan Greenberg has committed to automating 85% of underwriting and claims functions using AI. Yet, Chubb and other major legacy carriers are simultaneously leading a wave of filings to explicitly exclude AI liability from their standard commercial policies.

This “silent” exclusion wave is not a theoretical, future-state problem: it is an immediate operational threat. State regulators have already approved over 80% of these AI exclusion applications, seeing particularly heavy activity and rapid approvals in states like Florida, Connecticut, and Maryland.

The mechanics of this massive structural shift were cemented on January 1, 2026, when Verisk/ISO exclusion endorsements gave carriers a standardized, low-friction way to carve generative AI exposure entirely out of Commercial General Liability (CGL) policies. Commercial clients assuming their legacy policies will protect them are in for a shock: “silent AI” coverage is actively being deleted from policy renewals right now, systematically shifting the unknown risk burden entirely onto the enterprises deploying the technology.

Commercial insureds are stepping into a massive liability void without realizing it. The standard enterprise contracts for all four major AI vendors—OpenAI, Anthropic, Google, and Microsoft—strictly cap the vendor’s liability at 12 months of fees paid and expressly disclaim any consequential damages. This contractual structure effectively forces the entire liability burden for algorithmic errors, privacy violations, or intellectual property infringement directly onto the balance sheet of the enterprise deploying the AI.

The risk is rapidly translating from theoretical to actual. Data from Testudo Global, Gallagher Re and MIT indicates that generative AI-related lawsuits in the U.S. surged by 978% between 2020 and 2025. With cumulative case filings passing the 700 mark, litigation is accelerating across a wide spectrum of claims, ranging from mass copyright infringement and data privacy violations to algorithmic bias and hallucinated defamation.

Most executives mistakenly assume their existing specialty policies will act as a safety net for these emerging risks. This is a dangerous illusion. While traditional Cyber insurance policies are designed to cover an AI-enabled external attack or data breach, they generally do not cover first-party liabilities arising from a company’s own AI outputs, such as generating defamatory content or providing harmful automated advice. Similarly, Technology Errors & Omissions (Tech E&O) policies are designed to protect the technology providers and developers, not the downstream enterprise deployers utilizing the tools for their own operations. With standard commercial policies actively excluding AI, and Cyber/Tech E&O policies structurally unsuited for deployer liability, the safety net is effectively empty.

AI liability is not strictly uninsurable, but it fundamentally breaks the mechanics and pricing models of broad, traditional Commercial General Liability policies. Consequently, the risk is being rapidly unbundled. We are currently witnessing a forced migration of this exposure into the Excess & Surplus (E&S) market, mirroring the exact trajectory and growing pains of the early cyber insurance market in the late 1990s. As standard admitted carriers flee the space, specialty markets are stepping in to define the coverage parameters and dictate pricing.

Despite the massive, compounding demand from enterprise deployers seeking a safety net, capacity remains incredibly constrained. There are currently only three standalone AI liability insurance products actively binding coverage in the market today—all operating outside the standard admitted channels that most retail brokers rely upon. This acute scarcity of capacity is colliding with exponential demand, creating a lucrative new specialty market that Deloitte projects will reach $4.7 billion in annual premiums by 2032.

Your commercial clients are losing their AI coverage at their next renewal, and the traditional broker channel simply isn’t ready for the fallout. Subscribe to the ‘Premium’ tier to access the Intelligence Brief and unlock the exact ISO form numbers carriers are using to explicitly drop this coverage, a detailed breakdown of the legacy carriers driving this trend, and the proprietary broker playbook for accessing and navigating the only three standalone AI liability markets (Armilla, Testudo, and Munich Re) currently writing this risk.

Our full intelligence brief isn’t built on recycled news; it is the synthesis of a massive, multi-dimensional research effort. To uncover the true scale of the “Silent AI” coverage gap, we aggregated and analyzed 190 distinct industry sources, cross-referencing public data with highly restricted, proprietary insights. The depth and diversity of the intelligence informing this brief are unmatched, drawing directly from:

By layering these diverse sources, from the macro-economic signals of global reinsurance renewals to the micro-level realities of specific ISO exclusion forms, we have built an intelligence brief that eliminates the noise. The full brief provides the exact policy forms being used to drop coverage, a breakdown of the legacy carriers driving the trend, and the proprietary broker playbook for navigating the only three standalone AI liability markets currently writing this risk.

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