Scammy AI-Generated Books Are Flooding Amazon

Original Article ↗ Hacker News Discussion ↗

AI-generated, low-quality books and other media are flooding Amazon and similar platforms, driven by “get rich quick” hustle culture and cheap content-generation tools. Commenters describe how scammers now sell AI-based publishing schemes, how this flood of spam degrades search, recommendation quality, and trust in marketplaces, and how platforms’ weak moderation and incentives enable the problem. Many predict a growing arms race between AI-generated junk and AI-based filters, while others retreat to trusted brands, personal networks, and offline media to find reliable content.

Get-rich-quick and “AI hustle” culture

  • Many comments link AI book spam to a broader wave of “hustle” schemes: crypto → dropshipping → Amazon KDP → AI ebooks, Etsy designs, copywriting, affiliate-link spam.
  • YouTube and social media are described as saturated with slick “earn $5–10k/week with AI” pitches where the real money is in selling courses and “systems,” not in the underlying hustle.
  • Some note a long history of similar grifts (SEO’d junk ebooks, ghostwritten trash) that now just swap in generative AI.

Platform incentives and ad ecosystems

  • Google, YouTube, Amazon, and other platforms are seen as enablers: weak ad vetting, low barriers to publishing, and an incentive to maximize volume rather than quality.
  • Amazon is criticized as a “willing participant” that benefits from commissions and cheap content, with token measures like allowing three self-published books per day, viewed as laughably high.

Flood of garbage and discovery problems

  • Users report AI-ish spam not only in books, but also movies, Prime Video listings, Kindle ads, and technical ebooks.
  • People worry about how to find meaningful content as platforms fill with AI output, predicting an “arms race” of AI-generated content vs. AI-based filters.
  • Some say they now rely on friends, libraries, known communities, or trusted brands (e.g., long-established media) rather than algorithmic feeds.

Quality, truth, and ethics of AI-generated books

  • Skepticism that current AI can produce reliable non-fiction or coherent long-form fiction; “minimal factual errors” in history books is seen as unacceptable.
  • Others note there has always been low-quality human-produced junk; AI just lowers effort further.
  • Debate over whether AI itself is the problem vs. human incentives and willingness to “shit on the cultural commons.”

Impact on authors and readers

  • Indie authors fear their work being scraped, lightly modified by AI, and resold on Amazon.
  • Readers report being duped by incorrect AI-ish books (e.g., on native plants) and seeing low-effort AI children’s books with visual artifacts.
  • Some worry this erodes trust in marketplaces and creative communities.

Proposed mitigations and signaling

  • Suggestions include stricter upload caps (e.g., per month), nominal publishing fees, better moderation, labeling and opt-out filters, AI-based reviewers, banning pseudonyms, or pay-to-play models.
  • Others question how to credibly signal “not AI-generated” since badges can be faked and detection is unreliable or “unclear” with current tech.