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Publishers take Meta to court in landmark AI copyright showdown

Five major publishers including Hachette and Macmillan have sued Meta in Manhattan federal court, alleging the tech giant pirated millions of books to train its Llama AI. Industry experts warn UK SMEs of mounting licensing risks.

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Elsevier, Cengage, Hachette, Macmillan and McGraw Hill, joined by the bestselling American author Scott Turow, filed proceedings on Tuesday alleging that Meta knowingly used pirated copies of textbooks, peer-reviewed scientific journals and novels, among them N.K. Jemisin’s The Fifth Season and Peter Brown’s The Wild Robot, to train the systems that now underpin the Silicon Valley group’s generative AI products.

The complaint, which seeks unspecified damages and class-action status on behalf of a far wider pool of rights holders, marks the first time that academic and trade publishers have moved against Meta as a unified front. It also signals a deliberate escalation by an industry that, until now, has largely watched from the sidelines as authors, newspapers and visual artists fought their own corner.

Maria Pallante, president of the Association of American Publishers, did not mince her words. “Meta’s mass-scale infringement isn’t public progress, and AI will never be properly realised if tech companies prioritise pirate sites over scholarship and imagination,” she said.

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Meta has signalled it will mount a robust defence. “AI is powering transformative innovations, productivity and creativity for individuals and companies, and courts have rightly found that training AI on copyrighted material can qualify as fair use,” a spokesperson said. “We will fight this lawsuit aggressively.”

The case opens yet another front in a war that is rapidly redrawing the commercial map for content owners on both sides of the Atlantic. Dozens of plaintiffs, from The New York Times, which is pursuing OpenAI and Microsoft, to a coalition of authors, news outlets and visual artists, have already filed suit against the leading AI developers. The legal questions hinge on whether ingesting copyrighted material to produce new, “transformative” output qualifies as fair use under American law, and the early rulings have been anything but uniform. Two of the first judges to grapple with the issue reached opposing conclusions last year.

The first major scalp came when Anthropic, the AI company backed by Amazon and Google, agreed in 2025 to pay $1.5 billion (£1.18 billion) to settle a class action brought by a group of authors, a sum that could have ballooned into multiples of that figure had the matter gone to trial.

For UK small and medium-sized enterprises operating in publishing, marketing, education and the creative industries, the implications are far from academic. The absence of a coherent licensing regime has left British rights holders exposed to the same alleged practices, while AI-dependent businesses face mounting uncertainty over which models can be deployed without inheriting legal liability.

Benjamin Woollams, chief executive of TrueRights, argues the sector urgently needs commercial infrastructure capable of matching the speed at which AI models are being built. “Every one of these lawsuits points to the same underlying problem: there’s no standardised way to license creative work and likeness for AI,” he said. “Tech companies aren’t villains for wanting training data, and creators aren’t luddites for wanting to be paid, but the infrastructure to connect them simply hasn’t existed until now. This represents a huge opportunity for those in the industry to build a transparent and trusted licensing framework that allows innovation and creator rights to coexist commercially.”

He points to the influencer marketing economy, worth tens of billions of pounds globally and constructed almost entirely on rights licensing, as evidence that the commercial template already exists. “Brands and talent collaborate every day on an enormous scale. The commercial appetite for licensed content is there, the economic model is proven, and creators are increasingly aware of how their likeness and IP are used. What’s been missing in AI is a transparent, trusted way to license at the speed and scale these models require.”

Without such guardrails, Woollams warns, the drumbeat of litigation will only grow louder. “This sort of friction and litigation will continue to plague the industry, which will have negative knock-on effects on the kind of collaboration that should be powering the next generation of creative work, where AI platforms, advertisers and talent can actually build together.”

For Meta, the stakes extend well beyond the immediate price tag. A successful class certification could expose the group to claims from thousands of rights holders, while an adverse ruling would reverberate across an industry that has built its competitive edge on the unrestricted ingestion of vast corpora of human-authored work. For Britain’s SME publishers and creators, the case is a reminder that the rules of engagement with generative AI remain very much under construction, and that the courts, for now, are doing the drafting.

Jamie Young
About the author

Jamie Young

Jamie Young is Senior Reporter at Business Matters, covering SME finance, employment law and Westminster policy since 2016. He has reported on every Budget and Autumn Statement since 2018, helped make sense of the 'covid era' and the bounce-back loan scheme from launch through the fraud investigations, and broke the magazine's coverage of the 2024 late-payment reforms. He joined Business Matters straight from completing his BA in Administration from Exeter University and is NCTJ-qualified. Reach him at jyoung@cbmeg.co.uk

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