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404 Media tracked a rare-book order to an Amazon warehouse in Las Vegas where spines are cut off to feed a scanner. The destruction is not a quirk. It is a compliance expense.
The Investor · Invest desk

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An Apple AirTag hidden inside a shipment of rare books led an investigation to Amazon's VGT3 team at a warehouse in Las Vegas, where employees cut the bindings off printed books so the pages feed a scanner faster, destroying the book [1][2]. The investigation, published Monday by 404 Media, is the first to publicly pinpoint where bulk book purchases tied to AI training physically end up [3], which turns a year of bookseller suspicion into an auditable supply chain.
Amazon said it "purchases books through commercial channels to help develop and improve the products and services our customers use," and said the operation had not been reported before [4][5]. The team's logo is a dinosaur clutching a book in its claws [6].
The scale is the story. Anthropic ran a comparable programme, Project Panama, described in internal documents as an "effort to destructively scan all the books in the world," digitising millions of books [7][8]. One vendor's project proposal requested 500,000 to two million books over six months [9]. That is roughly 2,800 to 11,100 books a day, every day, from a single request [10]. For comparison, the source notes that the upper end alone would cover the entire physical catalogue of Montreal's Grande Bibliotheque, estimated at 1.2 million books [11].
Why paper, and why now. Books printed before 2022 contain text that is not mostly available online and, critically, was not written by a machine; training on machine output risks model collapse, where quality degrades with each recursive loop [12]. Large AI companies are running out of useful text [13]. A cottage industry has formed to supply labs with physical books that get stripped, scanned and discarded [14].
The economics only make sense alongside the case law. A federal judge ruled that training on legally purchased books can qualify as fair use, a partial win Anthropic, Meta and OpenAI all claimed [15]. Pirated copies were treated differently: Anthropic agreed to a $1.5 billion settlement over scanned pirated titles, and Salesforce now faces a class action over alleged book piracy [16][17]. Buying and shredding a physical copy is therefore not sentiment or sloppiness. It is the cheapest available proof of provenance, and the destruction is what you pay for a receipt.
The market has already priced it. Booksellers noticed a spike in bulk orders over the past year from buyers who were not price-sensitive and picked titles seemingly at random [18], and secondhand sales are reportedly booming, which some owners tie to AI bulk buying [19]. One bookseller told the BBC the world "no longer needs five million copies of The Da Vinci Code" [20]. The same appetite is showing up outside books: Google and Mercor fought over access to Spirit Airlines' old data, including hundreds of millions of internal emails, Microsoft Teams chats and employee productivity records, and Google won [21].
What to watch. First, whether other labs' scanning facilities get named the same way, now that a $30 tracker has proved the method works [1][3]. Second, whether vendors of the 500,000-to-two-million-book variety start pricing on scarcity rather than volume, since indiscriminate title selection suggests buyers have not yet hit a supply constraint [9][18]. Third, the Salesforce class action, which will test whether the purchased-versus-pirated line drawn so far holds as a durable liability boundary rather than a one-off settlement number [15][17]. For anyone selling data, the operative fact is that clean provenance, not volume, is what commands a premium.
Ranked by verification strength, evidence, and original report placement.
An Apple AirTag hidden in a major book order led to an investigation that tracked the shipment to Amazon's VGT3 warehouse in Las Vegas. 404 Media placed the tracking device inside a shipment of rare books.
Workers at the Amazon VGT3 facility cut book spines so pages feed a scanner faster, destroying the printed book in the process; employees said all they do is receive massive shipments of printed books and cut the bindings off.
Amazon confirmed it "purchases books through commercial channels to help develop and improve the products and services our customers use."
Anthropic led a similar initiative called Project Panama, which internal documents showed was an "effort to destructively scan all the books in the world" to train its AI models.
Anthropic's internal Project Panama ran destructive scanning at scale, digitizing millions of books.
Booksellers noticed a spike in bulk orders over the past year and suspected AI companies were behind them; the buyers weren't price-sensitive and picked titles seemingly at random.
Publishers with included, body-backed reporting in this cluster.
1 article · August 19, 2026
1 article · August 18, 2026
1 article · August 19, 2026
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Physical tracker plus company confirmation, but volumes unquantified
The central claim rests on an unusually concrete method — a tracking device physically following a book shipment to a named Amazon facility — corroborated by worker accounts and by an Amazon statement confirming bulk book purchases, and restated independently by a second publisher. Supporting legal facts (fair-use ruling, $1.5 billion settlement, Salesforce class action) are specific and checkable. Weakening the score: the underlying 404 Media investigation is not itself in the supplied set, Amazon's throughput and spend are never quantified, and the Project Panama scale figures come from a single secondhand summary of internal documents.
Multiple labs and an emergent supplier market, without disclosed volumes
Adoption of destructive book scanning is observed at more than one buyer: Amazon's dedicated VGT3 team, Anthropic's Project Panama, and a vendor proposal seeking up to two million books in six months. Booksellers report a sustained year-long spike in bulk, price-insensitive orders, and a cottage industry is described as supplying labs; demand for scarce non-synthetic data also shows up in the Google/Mercor contest for Spirit Airlines records. Capping the score: no operator discloses books processed, spend, or number of suppliers, so breadth is evidenced while depth is not.
Mostly proportionate, with some maximalist framing over unquantified volumes
Claims track the evidence closely: the destination was physically verified, Amazon confirmed purchasing, and legal outcomes are cited with figures. Slight overstatement comes from framing rather than facts — 'Fahrenheit 451' imagery and 'all the books in the world' language sit atop an Amazon operation whose scale is never disclosed, and the connection between booming secondhand sales and AI buying is presented as seller suspicion rather than measured causation. One source also carries a dissenting bookseller view that punctures the loss narrative.
Legal liability and data scarcity strongly shape every actor's position
Incentives are visible and documented on multiple sides. A ruling that training on legally purchased books can be fair use, set against a $1.5 billion settlement over pirated copies and a class action against Salesforce, gives labs a direct financial reason to buy and destroy physical books rather than source scanned files, so the destruction functions as legal hygiene. Amazon's statement is minimal and product-framed, disclosing purchase but not scale. Booksellers benefit from price-insensitive bulk buyers even as some worry about the practice, and the reporting outlet had a scoop incentive to establish first disclosure. Individual budgets or contract terms are not disclosed, so incentive strength is inferable but not fully priced.
Solid on the verified core, thin on magnitude
Two independent publishers agree on the verified facts, the subject company confirmed the practice, and no supplied source contradicts any claim, which supports confidence in the core narrative. Confidence is held below high because the cluster contains only two secondary reports of one primary investigation, key magnitudes (Amazon volumes, spend, supplier count) are absent, and the market-effect claims rest on seller suspicion rather than data.
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