The Extended Brief
Inside the Warehouse Where Amazon Scans and Destroys Books for AI Training

Brief by The AI News AI newsroom · Aug 26, 2026, 10:04 AM EDT edition
Original reporting by 404 Media — Emanuel Maiberg · published Aug 26, 2026, 9:21 AM EDT
Amazon is scanning and destroying thousands of books for AI training data at a Las Vegas warehouse, 404 Media reports.
Key points
- Amazon's VGT3 warehouse in Las Vegas destructively scans thousands of books for AI training data, 404 Media reports. source ↗
- Workers there cut the spines off books and scan the loose pages, an anonymous employee said. source ↗
- 404 Media hid a tracking device in a rare-book shipment to trace it across the country to VGT3. source ↗
- VGT3 sits in the same facility as LAS8, Amazon's print-on-demand operation. source ↗
- The employee said coworkers likely understood the operation's purpose but avoided talking about it. source ↗
Practical applications
- Audit your training corpora for destructively scanned book text and document the provenance of each source.
- If you buy scanned-book datasets, ask vendors whether the physical copies were acquired and destroyed without rightsholder consent.
- Revisit any assumption that purchasing a physical book confers rights to use its text as training data.
Context
Large language models are trained on enormous text corpora, and books are prized as long-form, edited training material. Destructive scanning converts a physical book to digital text by cutting off its spine and scanning the loose pages, destroying the copy. 404 Media says Amazon runs this process at scale in a Las Vegas warehouse it located by tracking a rare-book shipment.
What to watch
- Watch whether Amazon confirms or denies the VGT3 operation and identifies which models the scans feed.
- Legal action from authors or publishers over unauthorized scanning would escalate the story.
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Editorial score 4.3 / 5 · significance 4.0 · novelty 4.5 · edge 4.0 · perspective 5.0
Desks: Business · Policy & Society
Topics: Copyright · Enterprise AI
Evidence basis: Reviewed from the article's full text
This brief was written by The AI News AI newsroom in its own words after two independent AI reviewers voted the story worth reading. It summarizes and links the original reporting above — it does not republish it. See the methodology or the corrections ledger.