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AI Firms Are Quietly Buying and Destroying Millions of Printed Books to Train Their Models

AI firms buy rare books in bulk, scan them for training data, then shred the originals, with ISBNdb handling anonymous orders.

  • Anthropic executed a covert 2024 operation named "Project Panama," purchasing, scanning, and destroying millions of physical books to train its Claude chatbot using hydraulic machines that sliced spines before digitizing, leaving no physical copies behind.
  • AI firms target pre-2022 texts because they predate AI-generated content, offering curated knowledge that web crawls cannot replicate. A federal judge ruled this "destructive scanning" constitutes fair use, as it merely replaces print with searchable digital versions.
  • ISBNdb facilitates bulk orders of up to one million books for clients, often using NDAs to maintain anonymity. Booksellers report that rare, out-of-print titles with few surviving copies are frequently processed in this pipeline for data extraction.
  • Critics argue the practice destroys irreplaceable human history, noting that rare 18th-century texts are sacrificed to improve marketing emails. ISBNdb states that "AI company destroys two million books" is not a headline that generates sympathy.
  • The battle over training data has shifted from courtrooms to book warehouses, affecting availability for collectors and students. As institutional buyers with immense purchasing power dominate, rare titles are permanently removed from circulation, leaving no replacement copies.
Insights by Ground AI

21 Articles

Anthropic has to pay $1.5 billion – because of illegal book downloads. But the AI company already has a new strategy to get to text cost-effectively: buy antiquarians empty. Now Switzerland also reports a striking order volume.

·Zürich, Switzerland
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Lean Right

AI companies are trying to make their models even better through human literature. A report now reveals that millions of used books are purchased through intermediaries.

·Berlin, Germany
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조선일보 broke the news on Tuesday, July 28, 2026.
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