Generative AI floods and dilutes the market for books

Generative AI is rapidly expanding the supply of books—especially self-published genre fiction—without a corresponding rise in sales, raising fears of market dilution and a flood of low-quality “slop” that makes it harder for readers to find worthwhile work. Commenters debate whether AI-assisted writing can ever match skilled human prose, how much of the resulting text is merely functional versus genuinely artistic, and whether it primarily enables lazy grifters or can be a legitimate tool for plotting and overcoming writer’s block. Many expect stronger filtering mechanisms, human-curated bookstores, identity-verified platforms, or explicit “organic content” labels to emerge as ways to restore trust and signal human-made, higher-intent work.

Motivations for Using Generative AI in Writing

  • Economic arbitrage: ultra-cheap “get rich quick” self‑publishing, spammy slop farms that profit on volume, Kindle Unlimited gaming.
  • Time and effort: writing good prose is hard; some “idea people” want plots and worlds realized without grinding out thousands of words.
  • Hobby/exploratory use: trying out long‑stored plot ideas, testing what works, alleviating writer’s block, or experimenting with AI as a “new kind of typewriter.”
  • Corporate use: AI-written performance reviews and HR tools seen as laziness and a sign of “corporate hellscape.”

Quality and Role of AI-Generated Prose

  • Critics say AI text is “objectively bad”: overstuffed, incoherent at length, full of filler, stylistic tics, and logical gaps; good editing mainly means deleting AI padding.
  • Defenders say AI can produce “perfectly functional” genre prose, sometimes impressive, especially with detailed prompts, outlines, and heavy human editing.
  • Some see AI as a ghostwriter or assistant for chapter-level drafting; others argue that if you don’t enjoy the act of writing, it’s unclear why you want to “author” a book at all.
  • There’s dispute over whether prose is separable from plot/characters; critics argue the sentences are the story, so outsourcing prose is like giving away the keys.

Market and Discovery Effects

  • Self‑published genre fiction is heavily diluted: huge growth in titles, smaller growth in revenue; easier than ever to flood marketplaces with low-quality books.
  • Traditional publishers still screen, but are reportedly inundated with AI-generated submissions.
  • Some foresee labels or markets for “verified human” or curated/independent bookstores gaining value.
  • Others predict many readers will bypass books entirely and query LLMs directly for information or entertainment.

Cultural and Platform-Level Concerns

  • Worries about cultural degradation: ahistorical, amoral, plausible-but-wrong text everywhere, including autocomplete.
  • Similar issues on YouTube: AI essays and “documentaries” with fake art and generic scripts.
  • Some call for ID-verified, authenticated spaces and strict moderation; others warn this will push dissenting voices to unregulated platforms.
  • Longstanding problems remain: Sturgeon’s law, already-flooded markets, failing recommendation systems, and reliance on trusted personal recommendations.