The Vanishing Page: AI Firms Scan Then Destroy Rare Book Editions
AI companies are purchasing large quantities of physical books, including rare and out‑of‑print titles, to scan them using high‑speed machines that cut the spines and then destroy the originals. A federal judge has ruled that this digitization process, when the physical copies are eliminated, qualifies as fair use for training large language models. The practice is facilitated by brokers such as ISBNdb and has been documented in internal Anthropic documents referring to the effort as Project Panama.
- ▪AI firms bulk‑buy rare books and use hydraulic cutters and industrial scanners to create digital copies before discarding the physical volumes.
- ▪A 2025 court ruling determined that digitizing legally purchased books and destroying the originals constitutes fair use for AI training purposes.
- ▪Anthropic’s internal Project Panama plan described a goal to “destructively scan all the books in the world” and involved hiring former Google Books staff to acquire titles.
- ▪ISBNdb markets bulk book orders up to one million copies, offering anonymity and non‑disclosure agreements to AI clients.
- ▪European booksellers have reported unusual bulk orders that do not match typical collector or resale patterns, indicating AI‑driven demand.
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| Original publisher | Dallas Express |
| Canonical URL | https://dallasexpress.com/national/the-vanishing-page-ai-firms-scan-then-destroy-rare-book-editions/ |
| Publication time | Wed, 29 Jul 2026 10:54:07 +0000 |
| Retrieval time | 2026-07-29T11:06:07.797Z |
| Last seen | 2026-07-29T11:06:07.797Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | EwXv_0ZaNfue · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
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AI companies are purchasing physical books in bulk, including rare and out-of-print titles, then using high-speed machines to cut the spines and scan the pages before disposing of the originals, according to court documents and industry reports. The process targets pre-2022 books preferred as free of AI-generated content, with services facilitating anonymous bulk orders of up to one million volumes.A federal judge ruled the digitization of purchased books, accompanied by destruction of the physical copies, qualifies as fair use.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Dallas Express.
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