The rise of "AI slop"
How synthetic books are polluting digital storefronts
Imagine searching a major retail platform and finding a published biography of one of your house authors—or even yourself—that no editor ever acquired, no manuscript reader ever saw, and no traditional publisher ever released.
Published: 21.7.2026 | Foto / Video: Magnific
That is precisely what happened to New York Times technology journalist Kashmir Hill. In her article "I Got Slopped," Hill revealed how she stumbled upon “The Biography of Kashmir Hill” on Amazon. Priced at $26.99, the 90-page volume was a bizarre blend of scraped internet data, generic filler, and hallucinated details. The listed author, a fictitious persona, had churned out 10 similar biographies of prominent journalists in a single week.
For traditional publishing houses, Hill’s experience is far more than a curious anecdote. It represents a systematic erosion of the market: a high-volume flood of machine-generated content—often termed "AI slop"—that directly threatens reader trust, dilutes organic search visibility, and cannibalizes revenues across digital storefronts.
Inside the "publish-fast" machine
To understand where this flood is coming from, Hill tracked down Bill Johns, a retired 70-year-old cybersecurity consultant living in Maryland. Johns represents a new demographic of digital creators: people using large language models (LLMs) like ChatGPT to mass-produce books at scale.
Using a mechanical keyboard and prompt engineering, Johns has generated over 445 books on topics ranging from sports to local bridges. He feeds prompts into ChatGPT, copies the text into Word, uses Amazon’s Kindle Create app to layout the files, and relies on print-on-demand services to handle physical fulfillment.
"Almost everyone I know says they want to write a book," Johns told the Times. "It’s a very romantic concept to sit down and toil... but it doesn’t make economic sense."
For creators like Johns, the enterprise earns a few hundred dollars a month in royalty checks—what he candidly calls "bar money." But multiplied across thousands of aspiring side-hustlers, the aggregate volume is staggering.
It’s not just Amazon: Apple Books has an "AI slop" problem, too
While Amazon's Kindle Direct Publishing (KDP) platform is often singled out, the issue extends across the entire digital publishing ecosystem.
In an investigation published by The New Things, tech journalist Joanna Stern exposed how Apple Books is suffering from its own massive AI counterfeit crisis. Stern discovered dozens of AI-generated knockoffs riding the coattails of legitimate bestsellers. These counterfeit titles mimicked original book covers—using matching red, yellow, and blue color palettes—and generated synthesized summaries or workbooks designed to trick buyers into believing they were purchasing the real product or an official companion.
The business model relies entirely on consumer confusion. If a reader searches for a trending title or public figure, these AI listings appear alongside or directly above authentic works, charging anywhere from $9.99 to $20.99 for hallucinated prose.
The "get rich quick" hype vs. industry pushback
Why is the volume exploding so rapidly? As detailed in an analysis by OMR, a primary driver is the growth of social media "coaches" on YouTube and TikTok. Influencers promote AI book generation as an effortless passive income hack.
The playbook recommended by these coaches is simple:
Target hyper-niche micro-categories with low competition.
Use AI to generate short 50-to-100-page booklets on trending topics or figures.
Capture a "Bestseller" badge with just a handful of sales, using the badge to lure unsuspecting customers into buying.
The literary community is fighting back. Speaking to NPR, Mary Rasenberger, CEO of the Authors Guild, warned that the sheer scale of scam books is causing severe economic and reputational damage to real writers. Industry analyst Jane Friedman pointed out that when readers accidentally buy a word-salad AI biography or summary, they walk away dissatisfied, often blaming the subject or original author for a "terrible book."
Can platforms (or regulations) fix the problem?
Platforms are caught in a game of whack-a-mole.
Platform policies
Amazon now requires publishers using KDP to declare whether content is AI-generated and has placed caps on daily title uploads. However, enforcement remains largely reactive—books are typically taken down only after dozens of scathing one-star reviews flag them as scams.
Transparency gaps
Even when authors disclose AI usage in back-end forms, platforms like Amazon do not explicitly surface that label to shoppers.
Regulatory limits
While regulatory initiatives like the EU AI Act introduce mandatory labeling for AI-generated text, legal experts note these rules often apply strictly to content informing the public on "matters of public interest"—leaving low-grade commercial fiction, generic self-help, and unauthorized biographies in a legal grey area.
As generative AI tools become more sophisticated at mimicking human tone, distinguishing synthetic "slop" from genuine human craftsmanship will only grow harder. For now, readers are left to exercise buyer-beware vigilance—checking reviews, inspecting publisher credentials, and remembering that if a new biography seems to have appeared out of thin air, it probably did.
