Amazon Is Reportedly Destroying Rare Books to Train Its AI Models

Amazon Is Reportedly Destroying Rare Books to Train Its AI Models

Amazon is reportedly buying rare and out-of-print books, removing their spines and scanning the pages as part of its AI development efforts. According to 404 Media, physical books are being sent to an Amazon facility known as VGT3 in Las Vegas, where the scanning process destroys the original copies while converting their contents into digital data.

404 Media traced the operation by placing a tracking device inside a rare book, which ultimately arrived at the VGT3 facility. Amazon confirmed that it obtains books commercially but did not provide additional details about how the resulting material is used. The company told 404 Media that it “purchases books through commercial channels to improve the products and services customers use.”

The reported operation points to the value AI developers place on human-written material that is difficult or impossible to obtain online. Rare and out-of-print books can contain text unavailable in common digital sources, providing another pool of material for companies seeking data to train large language models.

Books published before 2022 also have a particular characteristic for AI training: their original text predates the current proliferation of content generated by large language models. That distinction matters because repeatedly training models on AI-generated material can contribute to a deterioration in output quality, a problem researchers call model collapse.

Amazon’s approach involves physically modifying the books so they can be processed more efficiently. Removing the spine separates the pages for high-speed scanning, but the procedure means the books themselves do not survive intact. That aspect of the operation has created questions around the treatment of rare material as companies seek additional sources of training data.

Copyright presents a separate issue. Some of the books involved may contain copyrighted material, and the broader technology sector continues to face legal questions over whether using protected works to train AI systems qualifies as fair use. The available reporting does not establish that Amazon’s specific book-scanning operation violates copyright law.

The practice nevertheless illustrates how obtaining AI training material can extend beyond collecting information already available online. Companies developing large language models need substantial quantities of text, while the growing presence of machine-generated material online can make verified human-authored sources more useful for training purposes.

Amazon’s reported book-scanning operation provides one example of that search moving into physical archives. By purchasing hard-to-find books and digitizing their contents, the company can access material that may otherwise remain unavailable to its AI development efforts, even when doing so requires destroying the physical copies used in the process.

This analysis is based on reporting from Whalesbook.

Image courtesy of Unsplash.

This article was generated with AI assistance and reviewed for accuracy and quality.

Last updated: August 17, 2026

About this article: This article was generated with AI assistance and reviewed by our editorial team to ensure it follows our editorial standards for accuracy and independence. We maintain strict fact-checking protocols and cite all sources.

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