ARTFEED — Contemporary Art Intelligence

AI Firms Buy and Destroy Rare Books to Train Models

ai-technology · 2026-07-27

AI companies, including Amazon and Anthropic, are purchasing large quantities of rare and obscure books—such as home oxygen treatment guides, medieval English marriage litigation texts, and Swedish comedy volumes—to train their large language models. These books are often acquired from dealers at whatever price is asked, leading to a spike in income for sellers. The books are then sent to scanning facilities, such as one in Las Vegas run by Amazon, where they are digitized and subsequently destroyed. According to 404 Media reporter Emanuel Maiberg, the process involves cutting off the spines and feeding pages through scanners to speed up digitization. This practice addresses the problem of 'model collapse,' where AI trained on AI-generated data degrades in quality. The Wall Street Journal's Melissa Korn describes this as 'an unusually on-the-nose example of digital technology devouring literary culture.' While many of these books are technically rare, they are often esoteric items like vanity publications and old instruction manuals rather than first-edition classics. The trend highlights the lengths AI companies will go to secure human-written text, even at the cost of physical books.

Key facts

  • AI companies are buying large quantities of rare and obscure books to train large language models.
  • Amazon and Anthropic have been identified as using this book-sacrificing method.
  • Books are digitized at scanning facilities, such as one in Las Vegas run by Amazon, and then destroyed.
  • The process involves cutting off book spines and feeding pages through scanners for rapid digitization.
  • This practice aims to prevent 'model collapse,' where AI trained on AI-generated data becomes worse.
  • Book dealers have seen a spike in income due to large orders from mysterious buyers.
  • The books purchased include esoteric titles like home oxygen treatment in Italy and Swedish comedy in the sixties.
  • The Wall Street Journal's Melissa Korn called it 'an unusually on-the-nose example of digital technology devouring literary culture.'

Entities

Artists

Institutions

  • Amazon
  • Anthropic
  • 404 Media
  • NPR
  • Wall Street Journal
  • Open Culture
  • Meta
  • ISBNdb
  • Futurism

Locations

  • Las Vegas
  • Italy
  • England
  • Texas
  • Sweden
  • Seoul
  • Netherlands

Sources