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 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 detected AI text lost the most ground in genres with high AI diffusion. Generative AI can thus reshape a creative market through scale rather than quality. Beyond market flooding, our complementary experiments also show that author-specific fine-tuning enables AI writing that readers prefer to expert human writing and that largely evades AI detection. Such fine-tuning can also circumvent post-training safeguards, leading to verbatim regurgitation of memorized copyrighted expression. Our results bear directly on the market-effect question at the center of the fair-use defense to copyright infringement.