A coordinated litigation strategy modelled on the legal campaigns that defeated the tobacco industry is being deployed against artificial intelligence companies in the United States, with a state attorney general filing suit alleging that AI chatbots cause mental health harms to users. The move, described as the first attorney general action of its kind against AI chatbot companies, parallels the product liability approach already generating thousands of cases against major social media platforms. The suits rely on product liability law — the legal framework that holds manufacturers responsible for foreseeable harms caused by their products — applied to AI-generated outputs and chatbot interactions. Critics of AI regulation at the federal level, including Michelle Lopes Maldonado of the Information Technology and Innovation Foundation (a think tank whose funders include AI developers such as Anthropic and Alphabet), have acknowledged that this litigation reflects "frustrations that there's not a uniform, cohesive standard at the federal level." The absence of a comprehensive US federal AI liability framework is doing what it did for social media before federal action: driving a fragmented, state-level litigation environment where plaintiffs use existing tort and product liability doctrines to create de facto regulation through the courts. For AI companies operating in or selling into the UK and EU, where the EU AI Act (the European Union's risk-based regulatory framework for artificial intelligence, adopted in 2024) is being implemented, the US litigation trajectory adds a further layer of liability exposure to consider alongside statutory compliance obligations.
Why this matters
The application of product liability doctrine to AI chatbots is a genuinely novel legal development with direct implications for AI governance and technology law practices. If state-level product liability suits gain traction — as they did against social media platforms — AI developers will face mounting pressure to redesign systems, adopt safety labels, and create litigation-defensible governance frameworks. For UK and EU practitioners, the US litigation arc serves as a leading indicator: the EU AI Act already imposes risk-classification and transparency obligations on certain AI systems, and UK courts may be asked to consider analogous product liability claims under domestic law as AI adoption grows. This story directly implicates technology transactions, product liability, and AI regulatory advisory work.
On the Ground
A trainee advising an AI company client on this developing litigation landscape would be conducting AI governance policy drafting to document safety measures and content moderation frameworks, completing vendor due diligence questionnaires assessing third-party AI tool risks, and preparing regulatory impact assessment memos comparing the EU AI Act's requirements against the company's current deployment practices. Reviewing data processing agreements and technology licence terms for liability allocation clauses would also be active tasks.
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Question you might get
“How does product liability law apply to harms caused by AI chatbot outputs, and what defences might an AI developer raise in response to such a claim under English law?”
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