{"id":1647451,"date":"2026-07-28T21:42:49","date_gmt":"2026-07-28T21:42:49","guid":{"rendered":"http:\/\/KF5EEyGerifzuchEDGQng8"},"modified":"2026-07-28T21:42:49","modified_gmt":"2026-07-28T21:42:49","slug":"ai-companies-are-anonymously-buying-and-destroying-millions-of-books-through-middleman-services-to-avoid-headlines-about-ai-companies-buying-and-destroying-millions-of-books","status":"publish","type":"post","link":"https:\/\/arcader.org\/news\/ai-companies-are-anonymously-buying-and-destroying-millions-of-books-through-middleman-services-to-avoid-headlines-about-ai-companies-buying-and-destroying-millions-of-books\/","title":{"rendered":"AI companies are anonymously buying and destroying millions of books through middleman services to avoid headlines about AI companies buying and destroying millions of books"},"content":{"rendered":"
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AI isn’t doing great on the PR front. Whether it’s the exponentially increasing electricity consumption<\/a> amidst worsening climate change, the data centers leaking toxic pollutants<\/a> into neighboring communities, or the years-long parade of business leaders insisting the technology will replace humans<\/a> in “most, if not all” professional fields, the AI industry has an excellent record of inspiring resentment and contempt.<\/p>\n

And, it seems, the AI companies know it. New reporting from 404 Media<\/a> suggests that, in an effort to shield themselves from the PR fallout of their data harvesting, major AI providers have turned to third-party middleman services to anonymously source the physical books they’ve been stripping for training data at an industrial scale\u2014and destroying in the process.<\/p>\n

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\"CHONGQING,<\/a><\/p>\n<\/div>\n<\/div>

(Image credit: Cheng Xin via Getty Images)<\/span><\/figcaption><\/figure>\n

In an information ecosystem increasingly poisoned by regurgitated and recirculated AI slop, untainted samples of quality written text have, ironically, only become more valuable for the companies making them so hard to find. The AI model arms race requires an ever-widening set of training data, making physical books that predate the proliferation of LLM-generated text a precious source of pristine, human-authored material to imitate\u2014particularly if it’s a book rare enough to be absent from your competitor’s datasets.<\/p>\n

Unfortunately, a book is only valuable for an AI company until its last page has been scanned, as demonstrated by a court ruling in 2025<\/a> revealing that Anthropic had carved up, de-spined, scanned, and ultimately discarded millions of print books in the process of training its Claude models. Destroying books, it turns out, isn’t just cheaper than maintaining them: The presiding judge also ruled that it’s transformative enough to constitute fair use under Section 107 of the Copyright Act.<\/p>\n

But while a judge might have declared it legally defensible, The Washington Post<\/a> reported that internal documents\u2014unsealed during the author-initiated copyright lawsuit that ended in the company paying a $1.5 billion settlement<\/a>\u2014indicated Anthropic was well aware that ‘arguably legal’<\/em> and ‘cool to do’<\/em> are very different things.<\/p>\n

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\"Portland,<\/a><\/p>\n<\/div>\n<\/div>

(Image credit: hapabapa via Getty Images)<\/span><\/figcaption><\/figure>\n

“We don\u2019t want it to be known that we are working on this,” Anthropic said in internal planning documents, understanding that mulching millions of books just so its chatbot didn’t sound like “low quality internet speak” might not have been a popular move.<\/p>\n

That’s why, as 404 Media now reports, Anthropic and other AI providers are hiring middleman companies to buy those books instead\u2014companies like ISBNdb<\/a>, which until earlier today featured a now-removed page on its site offering printed book sourcing services, “tailored to your LLM training needs, delivered at the scale AI demands.”<\/p>\n

In an archived version of the page<\/a>, ISBNdb boasted about its ability to secure books “scattered across library shelves, used bookstores, and out-of-print catalogs,” with companies able to purchase up to 1 million books per order. One of the website’s blog posts about the service\u2014also updated today\u2014featured a now-removed promise<\/a> of a “strict NDA on every engagement,” ensuring that “your identity, strategy, and acquisition targets are never disclosed.” After all, the blog post still reads, “‘AI company destroys two million books’ is not a headline that generates sympathy.”<\/p>\n

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\"Sir<\/a><\/p>\n<\/div>\n<\/div>

(Image credit: FromSoftware)<\/span><\/figcaption><\/figure>\n

In a news update<\/a>, ISBNdb says it removed the page describing the AI book-sourcing service because it was simply “part of exploring demand, and we’ve chosen to pivot away from that direction.”<\/p>\n

ISBNdb might be pivoting, but there’s clearly plenty of that demand to go around. 404 quotes a bookseller specializing in rare and low-circulation books who said he and other book dealers have seen an unprecedented surge in sales since April. He’s now fulfilling orders for hundreds of books a week when he’d previously hoped to clear 20.<\/p>\n

There’s no commonality between the seemingly random books being bulk-ordered, the bookseller said, except the fact that they all have ISBNs, potentially indicating that the books had been identified by the purchaser from an ISBN-based database. Netherlands book dealers<\/a> experiencing a similar boom in rare book orders noticed the same trend earlier this year.<\/p>\n

“I personally have mixed feelings about all of this. It benefits me financially as well as by clearing out old inventory that is otherwise unlikely to sell. I\u2019ve been well-suited for these sales with inventory from overseas and foreign language books,” the bookseller said. “On the other hand, I don\u2019t like the end-use, and I don\u2019t like that uncommon books are being pulped.”<\/p>\n

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