By Future Proof Intelligence · Published 20 July 2026 · Last updated 20 July 2026 · 9 minute read

Is AI agent insurance legally required in the EU?

Founders ask this question hoping for a simple answer that lets them defer the decision. The honest answer is no, not directly, and that answer is more dangerous than a yes would be. No EU regulation names AI agent insurance as a mandatory purchase in 2026. But two other pieces of EU law, the AI Act and the revised Product Liability Directive, already put the underlying liability on your desk whether or not you carry a policy for it. This article separates what is actually required by law from what merely feels optional because nobody has fined anyone for skipping it yet.

The direct answer

There is no EU regulation, directive, or Member State transposition in force as of July 2026 that requires a business to purchase AI agent insurance. This is different from motor insurance, where EU Directive 2009/103/EC has required third-party liability cover for any vehicle in use since long before the current AI wave. It is different from certain professional categories, such as insurance intermediaries under the Insurance Distribution Directive, where minimum professional indemnity cover is a licensing condition. AI agent deployment carries no equivalent, dedicated insurance mandate today.

The EU AI Act, Regulation (EU) 2024/1689, is the instrument most SME founders expect to contain an insurance requirement, because it is the regulation they have heard about most. It does not contain one. Article 26 sets out deployer obligations for high-risk AI systems: appointing competent human oversight, using the system according to the provider's instructions, monitoring its operation, keeping logs, and reporting serious incidents. Article 9 requires providers of high-risk systems to run a risk management process. None of this is an insurance obligation. It is a governance obligation, enforced through the penalty regime in Article 99, which can reach EUR 15 million or 3 percent of worldwide annual turnover for deployer violations, not through a requirement to hold a policy.

Why the AI Act's silence on insurance is not the point

Founders who stop at "the AI Act does not require insurance" are answering the wrong question. The AI Act was never going to be the source of an insurance mandate. Regulations that set safety and governance standards, like the AI Act, are usually separate from the instruments that determine who pays when the standard is not met, or when it is met and something goes wrong anyway. That second question is answered by product liability law, contract law, and tort law, all of which already apply to AI agents without needing a single word of AI-specific drafting.

Directive 2024/2853, the revised Product Liability Directive, is the clearest example. From 9 December 2026, once transposed into all 27 Member States' national law, software, including AI software, is treated as a product for the purposes of strict liability.^[1] A claimant harmed by a defective AI system does not need to prove the deployer or provider was negligent. They need to show the product was defective and that the defect caused their damage. Article 9 of the Directive shifts the burden of proof toward the defendant in specific circumstances, including where the claimant faces excessive difficulty proving technical or scientific complexity, which is precisely the situation most people harmed by an opaque AI system find themselves in. This is not an insurance requirement. It is a liability regime that makes the absence of insurance considerably more expensive to discover the hard way.

Ordinary law was already doing similar work before the Product Liability Directive's AI-specific update. In Moffatt v. Air Canada, decided by the British Columbia Civil Resolution Tribunal in February 2024, the airline was held liable for a chatbot's incorrect bereavement fare advice under ordinary negligent misrepresentation principles, not under any AI statute.^[2] In Mata v. Avianca, the Southern District of New York sanctioned lawyers in 2023 for submitting fabricated case citations produced by an AI tool, applying existing rules of professional conduct and court procedure.^[3] Neither case needed a regulator to name AI agent insurance mandatory. The underlying liability existed already. It simply had a new cause.

Where mandatory coverage already touches AI indirectly

Although there is no dedicated AI insurance mandate, several existing coverage requirements can extend to AI activity without anyone having designed them for that purpose.

Regulated professional services. If your business is a law firm, an accountancy practice, a financial adviser, or an insurance intermediary, your professional body or your national regulator very likely already requires you to hold professional indemnity insurance at a defined minimum limit as a condition of practising. That requirement does not disappear because part of the work is now performed by an AI agent instead of a person. It simply means the existing mandatory policy needs to actually respond to AI-generated work product, which is a coverage question, not a new mandate. Many PI policies written before 2024 contain legacy wording that creates uncertainty here, which is why a coverage review before deploying an AI agent into client-facing work matters even though no new law forced the review.

Sector-specific financial services rules. Firms regulated under frameworks such as DORA, the Digital Operational Resilience Act, already face operational risk management requirements that cover the resilience and governance of critical ICT systems, a category that increasingly includes AI agents used in customer-facing or back-office financial processes. DORA does not mandate AI insurance either, but it mandates operational resilience testing and third-party risk management that a business without any risk transfer arrangement will struggle to evidence convincingly to a regulator.

Employers' liability and general commercial policies. Where an AI agent's failure causes harm to an employee, for example through a flawed automated scheduling or safety-monitoring system, existing mandatory employers' liability insurance, required in most Member States for any business with staff, may respond. Whether it actually does depends on policy wording rather than on any EU-level AI rule, which is a separate and important question covered in our guide on AI agents and employers' liability cover.

What EIOPA's opinion does and does not say

EIOPA, the European Insurance and Occupational Pensions Authority, published an opinion on AI governance and risk management for European insurers in August 2025.^[4] Founders sometimes encounter references to this opinion and assume it creates a requirement for businesses to buy AI cover. It does not. The opinion addresses how insurance undertakings themselves should govern their own internal use of AI, aligning that governance with Solvency II, the Insurance Distribution Directive, DORA, and GDPR. It is a supervisory expectation aimed at insurers as regulated entities, not a product mandate aimed at AI deployers generally. It is a useful signal that European insurance supervisors are paying close attention to AI, which in turn is one of the reasons the AI liability insurance market is developing the way it is, but it is not itself the source of any purchase obligation.

As of July 2026, no legislative proposal creating a mandatory AI liability insurance scheme, comparable to compulsory motor insurance, is before the European Parliament or the Council. The AI Omnibus, which deferred the AI Act's Annex III high-risk obligations from 2 August 2026 to 2 December 2027 and entered into force on 27 July 2026, does not touch insurance requirements either way.^[5] The Product Liability Directive's 9 December 2026 transposition deadline is entirely separate from the Omnibus and is not affected by it.

Why "not required" is the wrong frame for a founder

The practical mistake is treating "not legally required" as equivalent to "financially safe to skip." Insurance exists to transfer a risk that already sits on your balance sheet, not to satisfy a regulator. The absence of a mandate changes nothing about whether your AI agent can give a customer bad financial advice, expose personal data, or make a commitment your business did not intend to make. It only changes who notices first when it happens: without a mandate, no supervisory authority is checking whether you have cover, which means the first party to discover the gap is usually the injured customer's lawyer, at the worst possible moment for your business to be improvising a response.

The Product Liability Directive's strict liability standard from December 2026 makes this calculus sharper, not softer. Strict liability means a claimant's path to recovery is shorter and less dependent on proving you were careless. A business that reasons "there is no insurance mandate, so I will wait" is choosing to face a strict liability exposure with no risk transfer in place, on the theory that a different piece of legislation not mentioning insurance means the risk itself is smaller. It is not. For a full breakdown of what standard business insurance does and does not already cover for AI mistakes, see our guide on whether your existing policy responds, and for the compliance side of the same picture, our plain-language EU AI Act guide for SMEs.

What to actually do

Treat the absence of a legal mandate as an argument for acting deliberately, not for doing nothing. Three steps are proportionate for most SME operators.

Check what you already have. Review your existing professional indemnity, cyber, and general liability policies for AI-specific exclusions or automated-decision exclusions before assuming any of them respond to an AI agent's failure. Many policies written before 2024 are silent on AI, which creates coverage uncertainty rather than coverage.

Size the gap against the December 2026 liability shift. The Product Liability Directive's strict liability standard is the fixed deadline in this picture, unaffected by the Digital Omnibus negotiations. Whatever coverage decision you make, make it with that date in view rather than waiting for a clearer regulatory signal that may not arrive before the liability standard changes anyway.

Document before you insure. Underwriters writing standalone AI liability products, including those referencing the AIUC-1 standard, Armilla's coverage framework, or Munich Re's aiSure programme, price more favourably when an operator can show what the agent does, how it is supervised, and what happened the last time something went wrong. A deeper look at the underwriting side of this conversation is in our guide to what an underwriter will ask. For the regulatory detail behind the timeline referenced throughout this article, see the full Digital Omnibus explainer on agentliability.eu, and for the European coverage market this creates, see what AI agent insurance will cover on agentinsured.eu.

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