2 Sources
[1]
AI-generated knockoffs of Joanna Stern's book keep appearing on Apple Books
In a video published on YouTube Shorts today, Joanna Stern called out Apple over AI-generated knockoffs of her book that continue to appear on Apple Books. Here are the details. AI-generated clones have become a common problem for book authors Two years ago, shortly after publishing Burn Book: A
[2]
Apple Books apparently has the same knockoff problem as Amazon
WSJ's Joanna Stern says copycat AI books based on her work continue to pop up on the platform. Apple Books has long been viewed as a cleaner alternative to Amazon's Kindle Store. But if a new investigation is anything to go by, it may be fighting the same battle against AI-generated junk. In a
Share
Copy Link
Wall Street Journal tech columnist Joanna Stern exposed a persistent problem with AI-generated knockoffs on Apple Books that mimic her work. Despite Apple removing fraudulent listings, new copies continue to surface in a digital whack-a-mole scenario. The issue highlights how generative AI has made it effortless for bad actors to flood digital marketplaces with copyright-infringing content.
Wall Street Journal tech columnist Joanna Stern has called out Apple Books for a recurring problem with AI-generated knockoffs of her book that continue to appear despite repeated takedowns. In a YouTube Shorts video published recently, Stern revealed that shortly after releasing her book "I Am Not a Robot: My Year Using AI to Do (Almost) Everything," she discovered more than 10 AI-generated clones on the platform
1
. Many of these fraudulent listings featured similar cover art and descriptions, with at least one published under a slightly misspelled version of her name to evade detection.Source: 9to5Mac
Stern reported the AI-generated fake versions of her book to Apple, which acted to remove the listings from Apple Books. However, the relief proved temporary. New fraudulent copies quickly surfaced in their place, creating what observers describe as digital whack-a-mole
2
. The cycle suggests that simply taking down fake books isn't enough when bad actors can upload new AI-generated copies just as easily. Apple told Stern that the company has transparency and disclosure rules around AI-generated content on Apple Books, and its policies "strictly prohibit content that misleads customers or infringes on copyright"1
.The knockoff problem extends beyond Apple Books. Stern also found two workbooks based on her book on Amazon, which she purchased to document the issue. Amazon has since removed both listings
1
. The Kindle Store has struggled with similar AI-generated knockoffs over the past year2
. Two years ago, author Kara Swisher faced a wave of AI-generated knockoffs that flooded Amazon after publishing "Burn Book: A Tech Love Story." The fake books copied both her cover and content. Swisher raised the issue with Amazon's leadership, which acted to curb the knockoffs of her book, though most authors lack the same access to decision-makers1
.Related Stories
The root issue isn't AI itself but how effortless generative AI has made it to mass-produce convincing books that imitate real authors. Digital marketplaces were built on the principle that publishing should be accessible to everyone, but this openness now creates vulnerabilities
2
. Bad actors can flood platforms with misleading AI-generated content that appears convincing enough for unsuspecting readers to mistake for legitimate releases. The fake titles often mimic cover art, copy descriptions, and use author names that closely resemble the originals.Apple and Amazon now face a critical challenge: keeping their stores open to legitimate independent authors while preventing impersonation and copyright-infringing content from slipping through. If platforms can't get ahead of the problem, reader trust in digital bookstores could erode significantly. Readers may soon find themselves questioning whether the book they're about to buy was actually written by the author on the cover, or simply generated by a chatbot trying to cash in on someone else's name
2
. Watch for how major platforms implement verification systems for authors and whether they develop more sophisticated detection tools to identify fraudulent content before it reaches readers.Summarized by
Navi
[2]
27 Jul 2026•Entertainment and Society

14 Sept 2026•Business and Economy

24 May 2025•Technology

1
Technology

2
Technology

3
Policy and Regulation
