Product4 publishers3 min readPublished Updated
A bookseller's tracker ended up at a Las Vegas warehouse where Amazon staff cut books off their spines. The rumour publishers could not price now has a named party.
The Product Desk · Product desk

Compiled by The Product DeskSomething wrong?How this is made
A bookseller hid an AirTag inside a rare book, let it go with a bulk order, and tracked it across the United States to a warehouse in Las Vegas owned by Amazon [1]. Booksellers had spent about a year suspecting that AI companies were buying their stock in bulk and destroying it after scanning, without being able to name one [2], so the change here is that a procurement rumour now has a party attached to it.
Emanuel Maiberg reported the finding for 404 Media on Monday [3]. Amazon calls the book scanning team at the site VGT3 [4]. Employees told 404 Media that large shipments of printed books arrive, staff slice the bindings off so the pages scan faster, and the book does not survive the process [5]. The logo on the door is a dinosaur holding a book and baring its teeth [6], which Ashley Belanger, writing the investigation up for Ars Technica, read as a Tyrannosaurus rex about to eat one [7].
Amazon declined to comment on the findings and gave Ars Technica the same statement it gave 404 Media, which does not mention AI: "Amazon purchases books through commercial channels to help develop and improve the products and services our customers use" [8][9].
The detail that does the most work is the barcode. 404 Media reviewed worker discussions and found that staff scan the barcode or ISBN before they scan the book [10]. That fits a bookseller theory that buyers are chasing ISBNs rather than titles, on the logic that an ISBN marks a distinct edition and enough of them covers every printed book carrying one [11]. It also explains a buying pattern sellers found baffling: celebrated first editions get skipped, while older books of low monetary value, never translated out of a little-read language, or never printed in commercially meaningful numbers, get bought [12]. What is being purchased is edition coverage, not literary value. The bookseller who planted the tracker told 404 Media the buyers want the content as a bunch of words strung together [13].
The premium on old paper is mechanical. Anything published since roughly 2022 may contain machine-written text, and models trained on model output degrade [14], a failure mode TechCrunch describes as model collapse [15]. Ars Technica notes Amazon is building what it considers frontier models, which need large volumes of unique training data, and that firms guard their data sources to protect an edge [16].
That is where rivals' positioning starts to matter to rights holders. Anthropic told the BBC that none of its data acquisition programmes buy and destroy rare or antiquarian books, and Ars Technica reports xAI has said the same publicly [17][18]. Anthropic does scan destructively: court documents unsealed last month named the effort Project Panama, with the stated aim of destructively scanning all the books in the world, and the company paid $1.5bn to settle a separate claim over pirated copies [19]. Amazon has drawn no comparable line in public [20].
The lawful basis is a reading of fair use. Judge William Alsup ruled in 2025 that Anthropic's use of purchased books was exceedingly transformative, and therefore fair use [21]. Emily Hudson, an intellectual property specialist at Oxford, told the BBC that the position in Britain differs [22].
Two things to watch. Worker forum posts reviewed by 404 Media said Amazon ran short of books to scan earlier this year, that supply ran out entirely at one point, and that some workers feared the site would close; it is still operating [23]. That is a demand signal, and it sits alongside The Next Web's report that Google paid $10mn for a bankrupt airline's internal records [24]. Also worth noting: all three published accounts of the Amazon finding trace back to the same 404 Media investigation [25], so the named-party fact currently rests on one outlet's work and one statement that confirms nothing.
Ranked by verification strength, evidence, and original report placement.
Amazon calls the book scanning team at the Las Vegas site VGT3.
Employees told 404 Media that large shipments of printed books arrive, staff slice the bindings off so they can scan the pages faster, and the book does not survive it.
A bookseller hid an AirTag inside a rare book and let it go with a bulk order; the tracker travelled across the United States and stopped at a warehouse in Las Vegas owned by Amazon.
Emanuel Maiberg reported the result for 404 Media on Monday.
The logo on the door of the VGT3 warehouse is a dinosaur holding a book and baring its teeth.
Ashley Belanger, writing up the investigation for Ars Technica, described the logo as a Tyrannosaurus rex about to eat a book.
Follow any of these and your For You feed starts watching them — no settings page required.
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.
One physical trace plus worker accounts, all from a single primary investigation
The core finding is unusually concrete for this beat: a tracker physically located a bulk-order rare book at an Amazon warehouse, and workers described the binding-slicing workflow, the ISBN-first scanning step and a supply shortage. But every supplied publisher is relaying one primary investigation by 404 Media rather than verifying independently, Amazon declined to comment and its statement never mentions AI, so the training-data purpose is inferred from context rather than confirmed by the operator.
Destructive book scanning is running in production at more than one lab
This is not a pilot: an Amazon site is described as operating with a dedicated team, and workers report it consumed books fast enough to exhaust supply earlier this year. Anthropic's Project Panama shows a second, court-documented destructive scanning programme, and Google's $10mn purchase of an airline's records shows the wider practice of buying scarce non-web corpora. What is missing is any volume figure, spend figure or record of what has been consumed, so the scale of adoption cannot be quantified.
Headlines assert the AI-training purpose that the evidence only strongly implies
Slightly overstated rather than inflated. The destination, the destruction and the named team are well evidenced, but two headlines state flatly that Amazon is destroying rare books 'to train AI' when Amazon's only statement omits AI entirely and the purpose rests on inference from frontier-model data needs and the ISBN-first workflow. The Next Web narrows the gap by saying explicitly that the statement neither confirms nor contradicts the reporting, and no source overstates scale, which keeps the gap small.
Scarce pre-2022 human text, competitive data secrecy, and a permissive US fair-use reading
The motives are documented rather than speculative. Ars Technica ties the operation to Amazon's frontier-model competition with Google, OpenAI and Anthropic and to firms guarding corpora for advantage; TechCrunch supplies the technical incentive, since pre-2022 print cannot contain model output and model collapse is the risk of ingesting AI text. Alsup's 2025 fair-use ruling lowers the legal cost of buying and scanning in the US, while rivals' public rare-book carve-outs create a reputational incentive Amazon has not answered. Publisher incentives also cut in: two of three pieces are aggregations of another outlet's scoop.
Solid on facts, softer on purpose and scale
Confidence is moderate-to-good. The destination, the destructive workflow, the company statement and the legal backdrop are consistently reported across three publishers with no contradiction between them, and the physical trace is hard to explain away. It is held back because everything descends from one uncontested primary investigation, Amazon has neither confirmed the purpose nor described any carve-out, and nothing in the supplied material quantifies volumes, spend or what has already been destroyed.
product
Used bookshops sell out by the pallet: provenance is now a line item, not a research problem3 publishers
invest
An AirTag in a book shipment reveals what legally clean training data actually costs3 publishers
build
Grok 4.6 lands in Copilot two days after launch, and the model picker becomes a procurement problem1 publisher
invest
Apple clears two bad bets off the books a week before Ternus takes over1 publisher
Publishers with included, body-backed reporting in this cluster.
1 article · August 19, 2026
1 article · August 17, 2026
1 article · August 17, 2026
1 article · August 18, 2026