Generative AI floods and dilutes the market for books

ID: 53418fe0
原文链接: https://arxiv.org/abs/2607.20349
PDF: https://arxiv.org/pdf/2607.20349
作者: Tuhin Chakrabarty, Xinyue Liu, Jane C. Ginsburg, Paramveer Dhillon
日期: 2026-07-22
标签: generative-ai, content-market, books, economics, arxiv
质量评分: 4/5
抓取时间: 2026-07-24T23:34:25+08:00
本地证据: OpenClaw定时任务/论文流水线/2026-07-24-论文流水线.md

中文解读

论文检测 2023-2026 年 Amazon 自出版类型小说，匹配文本 AI 占比与销售记录，指出 AI 文本高占比书籍通过规模改变供给侧：有销量书籍数量增长 19.2 倍，季度收入增长 8.9 倍，但竞争稀释和质量差异也随之出现。它适合作为生成式 AI 改写内容市场的实证材料。

为什么值得关注

生成式 AI 对内容市场的影响不只是“能写书”，而是低成本供给规模化后改变收入、竞争和质量分布。

English Summary / Abstract

Generative AI can produce book-length works of fiction at near-zero cost. These books are often dismissed as low-quality ``slop'' that buyers will ignore, and are assumed to carry little commercial weight. We test that assumption with full-text AI detection across 14,419 self-published genre-fiction books sold on Amazon from 2023 to 2026, matched to daily sales records through June 2026. None of these books disclose whether or not they contain AI-produced content. We find that books for which we detected substantial AI text ($>$ 25\%) make up a large share of the catalog but a smaller share of sales. Even so, they reach commercial scale, winning a growing share of sales over time and taking more of the scarce top-rank positions once held by books with no detected AI text. Over this period, the number of books with observed sales in a quarter grew 19.2-fold, while quarterly revenue grew only 8.9-fold. The market therefore added selling books faster than it added revenue, and revenue per selling book fell across most genres. Books with no AI text lose the most ground in genres with high AI diffusion, and most of all where Kindle Unlimited availability is high. Among top-selling books, those with substantial AI text draw on more distinctive language from existing books than do books with no AI text; for these books overlap rises with revenue, a gradient we do not detect for books with no AI text. Generative AI can thus reshape a creative market through scale rather than quality. Our results bear directly on the market-effect question at the center of the fair use defense to copyright infringement.

Obsidian evidence excerpt

界计算，并用潜空间特征优先探索更可能产生 harmful output 的生成分支。适合作为“安全评估从平均分走向概率边界”的候选材料。

- **Notes to Self: Can LLMs Benefit from Experiential Abstractions?**（Chang Liu, Xinyu Li, Artur Dubrawski，arXiv:2607.20372，2026-07-22）
  链接: https://arxiv.org/abs/2607.20372
  方向: memory / reasoning。作者从 MATH 解题轨迹里抽取自然语言经验抽象，放入可检索库；测试推理时检索和带抽象提示的 RL 训练。摘要称自抽取 abstraction 接近 teacher 抽取效果，并能迁移到其他数据集和模型。

- **Generative AI floods and dilutes the market for books**（Tuhin Chakrabarty et al.，arXiv:2607.20349，2026-07-22）
  链接: https://arxiv.org/abs/2607.20349
  方向: 生成式 AI / 内容市场。作者检测 2023-2026 年 Amazon 14419 本自出版类型小说全文，并匹配销售记录；摘要报告有销量书籍数量增长 19.2 倍，季度收入增长 8.9 倍，AI 文本占比高的书通过规模改变市场，而不是靠质量胜出。

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