A coalition of major publishers and authors, including Hachette, Cengage, Elsevier, and novelist Scott Turow, has filed a class action against Google, alleging it trained Gemini on their copyrighted books without permission. The suit’s standout claim is that Google allegedly repurposed works handed over for Google Books. An internal memo reportedly warned of “$10Bs-$100Bs” in fines.

Key Takeaways

• Publishers sued Google over alleged Gemini AI training on their books
• Plaintiffs include Hachette, Cengage, Elsevier, and Scott Turow
• The suit claims Google misused works from its Google Books program
• An internal Google memo allegedly warned of huge potential fines
• It’s the latest in a wave of AI copyright suits against big tech

Who’s Suing and What They Claim

The complaint was filed Friday. A group of publishers and authors filed a class action lawsuit against Google, accusing it of using their copyrighted works to train its AI platform, Gemini, in the US District Court for the Southern District of New York.

The plaintiffs are heavyweights. The group includes publishers Hachette Book Group, Cengage Learning, and Elsevier, alongside best-selling novelist Scott Turow and the writers’ organization S.C.R.I.B.E., seeking class-action status on behalf of many more authors and publishers.

The central charge is sweeping. The suit alleges Google reproduced millions of copyrighted works without permission, without compensating authors or publishers, and with full knowledge that its conduct violated copyright law.

There’s an added concealment claim. The plaintiffs allege Google intentionally removed or altered copyright management information on the works to hide that its Gemini models were trained on what they describe as stolen materials. These are allegations that a court has not ruled on, and Google has not yet responded to them.

The Google Books Twist

The most distinctive allegation stems from a long relationship. Unlike a stranger scraping the web, the publishers note they have a long history of providing Google with copyrighted works for a specific purpose, making books searchable through Google Books.

That’s where the alleged betrayal lies. The complaint argues that agreement permitted Google to display snippets, not to repurpose the material into training data for a competing business, casting the alleged misuse as a breach of trust rather than mere copying.

The suit frames it in blunt terms. Google illegally copied works from all these scope-limited programs for AI training, the filing reads, knowing it lacked authorization to do so, referencing the usage limits attached to Google Books and the Google Play store.

The Internal Memo and Market-Harm Argument

A cited internal document is the suit’s most damaging exhibit. The plaintiffs point to a Google memo that allegedly warned using copyrighted books for AI training could be highly problematic and might result in “$10Bs-$100Bs” in potential fines, which they argue shows the company knew the risk.

The harm claim centers on direct competition. The publishers contend Gemini can produce substitutes for their work at a scale and speed that is unprecedented, alleging the chatbot can generate a 100-page murder mystery in 20 minutes for about $0.39.

It goes deeper than volume. The complaint claims Gemini’s outputs include verbatim and near-verbatim copies, replacement textbook chapters, and versions tailored to mimic the expressive style and creative choices of specific authors, all of which they say Google could have licensed but chose not to.

Google’s Silence and Licensing Holdout

Google has stayed quiet. The company did not immediately respond to requests for comment on the lawsuit.

Its licensing stance is notable context. Unlike Meta, Microsoft, Amazon, OpenAI, and Anthropic, Google has struck no licensing agreements with digital publishers, a refusal that has pushed media companies toward increasingly drastic measures.

The pressure is building elsewhere too. Publishers have begun weighing whether to abandon Google Search entirely, and Cloudflare moved to block multipurpose crawlers by default on some pages, aimed largely at Google’s single crawler that both indexes sites and scrapes them for AI. With commercial pressure failing to bring Google to the table, the courts are now the chosen battleground.

How It Fits the Broader AI Copyright War

This is one front in a much larger conflict. The case joins a wave of complaints that publishers, authors, and other copyright holders have filed against AI companies including Google, Meta, OpenAI, and Anthropic.

The same plaintiffs have been busy. Nearly the same roster of publishers sued Meta earlier this year over the alleged use of pirated books to train its Llama models, suggesting the industry has settled on a coordinated legal strategy.

Early results are mixed. Two California rulings favored the AI firms, finding that training on copyrighted works can be fair use, while Anthropic agreed to pay authors $1.5 billion to settle a class action over alleged piracy, the largest such payout in US copyright history, and The New York Times’ suit against OpenAI and Microsoft remains ongoing.

Why the New York Venue Matters

The choice of court is strategic. Filing in the Southern District of New York gives a different judge the opportunity to weigh in, one not bound by the California decisions that went the AI companies’ way.

The publishers made a deliberate procedural move. Hachette and Cengage had previously sought to intervene in a separate California case before withdrawing, partly to preserve claims that might fall outside the earlier proposed class and to sidestep potential statute-of-limitations problems.

The stakes reach past this case. Because the California rulings don’t set an unbreakable precedent and the conflict remains legally nuanced, a New York ruling could meaningfully shape how courts treat the fair-use defense going forward.

Why It Matters

The core question is still unsettled. Whether training AI on copyrighted material counts as fair use has not been definitively resolved, and each new suit tests it in a fresh venue with different facts.

The bigger tension is licensing versus litigation. Google’s refusal to sign publisher deals, even as rivals do, has turned the courtroom into the industry’s negotiating table, and the outcome could push AI firms toward paying for training data or embolden them to keep scraping.

For publishers, it’s an existential fight. If tools like Gemini can cheaply generate substitutes for their books, the value of the original works, and the businesses built on them, is at risk. This lawsuit is their attempt to draw a legal line, and its result will echo well beyond Google.

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