AI Liability Insurance for Small Businesses: How Counterpart's Affirmative Coverage Closes the 2026 Gap
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- Counterpart announced explicit AI coverage on November 21, 2025, extending policy coverage to errors from both first- and third-party AI tools — a landmark shift in professional liability insurance.
- 92% of small businesses currently use AI tools, yet most standard policies are riddled with exclusions that leave AI-related claims uncovered or disputed at the worst possible moment.
- Generative AI-related lawsuits in the U.S. surged 978% from 2021 to 2025, with over 700 cumulative cases filed — and annual litigation growth accelerating from 59% to 137% in just one year.
- New insurtech platforms are entering the market specifically to cover AI risk, creating real opportunities to close dangerous coverage gaps in your existing program.
What Happened
On November 21, 2025, Counterpart — a technology-driven professional liability insurer that has raised approximately $60 million in venture capital — made an industry-first move: it announced affirmative AI coverage across all of its Professional Liability products. In plain English, that means instead of quietly excluding AI-related claims, Counterpart explicitly states they are covered.
The announcement introduced two concrete changes. First, errors stemming from both first-party AI tools (software your business uses directly, like an AI writing assistant or coding copilot) and third-party AI tools (AI embedded in vendor platforms you rely on, such as an AI-powered billing system or customer service chatbot) are now explicitly covered under Counterpart's professional liability policies. Second, a new Technology Errors and Omissions (E&O) endorsement — an add-on that extends your policy coverage to include tech-related professional mistakes — was added to its Miscellaneous Professional Liability (MPL) and Allied Health products.
Counterpart operates at meaningful scale: 2,800 brokers, more than 28,000 policies in force, and backing from five A-rated carriers including Aspen, Markel, and Westfield Specialty. The company brands its platform as 'Agentic Insurance™,' reflecting its focus on protecting businesses in an AI-driven economy. In January 2026, it extended that mission with a new Architects, Engineers & Construction Professionals liability product that also carries explicit AI coverage.
Photo by Mohamed Nohassi on Unsplash
Why It Matters for Your Coverage
If reading about that policy update made you wonder whether your own business is actually protected, you are asking exactly the right question — because for most small businesses, the honest answer is more complicated than it should be.
Start with this: 92% of small businesses currently use AI tools, primarily for research, marketing, and customer support. That is nearly every small business in America. Yet the broader insurance industry has been moving in the opposite direction from Counterpart. Instead of expanding coverage to match how businesses actually operate, many insurers are quietly inserting exclusions.
Think of it like buying a homeowner's policy that covers fire, theft, and flooding — but with fine print that excludes "damage caused by appliances manufactured after 2020." That would be outrageous. Yet that is essentially what is happening in professional liability insurance today. Carriers like Berkley have introduced "absolute" AI exclusion endorsements that strip coverage for AI content generation, governance failures, and chatbot communications. The Insurance Services Office (ISO) — the organization that sets standard policy language across much of the industry — has introduced new generative AI exclusion endorsements, CG 40 47 and CG 40 48, for Commercial General Liability (CGL) policies. Researchers at the Harvard Law School Forum on Corporate Governance have noted that insurers are increasingly inserting these exclusion clauses as automated decision-making becomes embedded in normal business operations, creating a structural coverage gap for businesses of all sizes.
The result is what experts call a "Swiss Cheese" effect: even businesses that carefully assemble multiple policies — professional liability, general liability, cyber insurance — can still find themselves with uncovered gaps precisely where AI-related claims are most likely to land. Conducting a thorough insurance comparison between your current policy stack and newer affirmative AI products is a critical part of sound risk assessment in 2026. Your current policy coverage may be considerably less complete than you assume.
The urgency behind all of this is backed by hard numbers. Generative AI-related lawsuits in the U.S. increased 978% from 2021 to 2025, with over 700 cumulative cases filed. Annual AI litigation growth jumped from 59% between 2023 and 2024 to a staggering 137% between 2024 and 2025. The agentic AI insurance market — covering businesses that use autonomous, task-performing AI systems — is projected to grow from $5.76 billion in 2025 to $7.26 billion in 2026, a 26% increase in a single year. As Mike Muglia, Professional Liability Lead at Counterpart, explained: "AI risks have moved from theory to the courtroom. A lot of small business owners and startup leaders are using AI to work faster, process more information, and deliver a higher level of service, but they don't always see the liability that comes with it."
Whether you are a freelance consultant using an AI assistant to draft client reports, a healthcare biller relying on AI medical coding software, or an engineering firm using AI-assisted design tools, the question is not whether you face AI liability exposure — it is whether your current policies would actually protect you when a claim arrives.
The AI Angle
That fast-moving litigation landscape is also reshaping how insurtech companies approach claims management and underwriting for technology risks. For years, insurers avoided pricing AI exposure because the risk was too new and unpredictable to model. But as litigation data accumulates and AI usage patterns become measurable, forward-looking insurtech firms are building AI-powered underwriting engines that can actually assess and price these exposures with precision.
Counterpart is not alone. Armilla, launched in 2025 and backed by Chaucer and Axis Capital, offers AI model liability coverage — but requires ongoing model quality assessments as a condition of coverage, effectively embedding risk evaluation into the underwriting process itself. Testudo launched in January 2026 targeting mid-to-large enterprises deploying generative AI, with a focus on copyright infringement and bodily harm litigation defense.
Together, these insurtech platforms represent a direct counter-movement to the industry's exclusion trend: using data-driven claims management and underwriting automation to price and cover AI risk rather than avoiding it. For small business owners, that means the insurance comparison landscape is evolving fast — and purpose-built coverage options that actually match modern business operations are finally available.
What Should You Do? 3 Action Steps
Pull out your professional liability, general liability, and cyber insurance policies and search for terms like "artificial intelligence," "automated decision-making," or "exclusion." If you spot broad exclusion language — including references to ISO endorsements CG 40 47 or CG 40 48 — your coverage may not protect you when an AI-related claim arises. Document exactly what is and is not covered before your next renewal date. This policy audit is the foundation of any honest risk assessment for a business that relies on AI tools.
Ask your broker to run an insurance comparison that specifically includes professional liability carriers offering explicit, affirmative AI coverage. Counterpart's policies, for example, cover errors from both first- and third-party AI tools. Armilla and Testudo are worth exploring if you are a larger business or deploying your own AI models. Getting multiple quotes may surface real insurance savings — especially if your current carrier is charging full premiums for a policy its own exclusions have quietly hollowed out.
AI liability insurance is a fast-moving specialty area. A generalist broker may not be aware of the latest ISO exclusions being added to standard policy forms, or the affirmative AI coverage products that have emerged since late 2025. Seek out a broker or agent with experience in Technology E&O (Errors and Omissions — professional liability coverage for tech-related mistakes and negligence) or professional liability for AI-dependent businesses. They can identify genuine insurance savings, close Swiss Cheese coverage gaps, and build a policy structure that accurately reflects how your business operates today. Always consult a licensed insurance professional before making any coverage decisions.
Frequently Asked Questions
Does my current professional liability insurance policy cover errors made by AI tools in 2026?
Most standard professional liability policies — also called E&O (Errors and Omissions) insurance, meaning coverage for professional mistakes and negligence — were designed before AI tools became routine business software. Many now contain explicit AI exclusion clauses or are simply silent on the subject, which can create ambiguity and disputes when you file a claim. Review your policy documents and ask your broker directly whether errors produced by AI tools are covered. If you find exclusions or significant uncertainty, newer affirmative AI coverage products from companies like Counterpart may be worth exploring. Always consult a licensed insurance agent for advice tailored to your specific business situation.
What is affirmative AI coverage and how does it affect claims management compared to a standard policy?
Affirmative coverage means the policy explicitly states that a specific risk is covered — removing the ambiguity that can lead to drawn-out disputes when a claim is filed. Most standard professional liability policies are silent on AI, which gives insurers room to argue that AI-related errors fall outside the policy scope. Counterpart's affirmative AI coverage, launched November 21, 2025, removes that uncertainty by explicitly stating that errors from both first-party AI tools (tools your business uses directly) and third-party AI tools (AI embedded in vendor platforms) are covered. This clarity is especially valuable during claims management because it reduces the risk of a coverage denial based on AI-related technicalities.
How fast are AI-related lawsuits growing and what does that mean for my small business risk assessment?
The growth has been striking. Generative AI-related lawsuits in the U.S. increased 978% from 2021 to 2025, with more than 700 cumulative cases already filed. Annual litigation growth jumped from 59% between 2023–24 to 137% between 2024–25. While high-profile suits have primarily targeted large tech firms and AI developers, small businesses using AI for client-facing work — marketing copy, legal research, medical documentation, or engineering designs — are increasingly exposed. A realistic risk assessment should account for how your business uses AI, what it produces with that AI, and whether a client or third party could suffer real harm from an AI-generated error. That exposure should be directly reflected in your coverage decisions.
Can switching to affirmative AI coverage actually produce insurance savings compared to my current policy?
Potentially, yes. Because affirmative AI coverage is still an emerging product category, not all carriers price it the same way. Conducting an insurance comparison across multiple professional liability carriers — including insurtech platforms like Counterpart, Armilla, and Testudo — may reveal that broader AI coverage can be purchased at a competitive premium. Bundling a Technology E&O endorsement with an existing professional liability policy, rather than buying separate standalone coverage, can also generate real insurance savings. Businesses currently paying for traditional policies filled with AI exclusions may actually be over-paying for under-coverage — and an insurance comparison will surface that mismatch clearly. A licensed broker can help you structure this effectively.
What types of AI tool errors are most likely to trigger a professional liability lawsuit against my small business?
Based on current litigation patterns, the highest-risk scenarios involve: AI-generated content containing factual errors delivered to clients as professional work product; automated decision-making tools — such as AI-generated medical codes, legal research summaries, or financial recommendations — that produce incorrect outputs; copyright-infringing material generated by AI tools and included in client deliverables; and harm caused by AI chatbots or automated support systems providing incorrect or misleading guidance. If your business relies on AI to produce reports, recommendations, designs, or documentation, understanding your specific AI-related exposures is essential. Effective claims management starts with knowing exactly what your coverage includes before a claim is filed — not after.
Disclaimer: This article is for informational purposes only and does not constitute insurance advice. Always consult a licensed insurance agent for personalized guidance.
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