Thousands of AI-written, edited or ‘polished’ books are being sold – an eerie echo of Orwell’s ‘novel-writing machines’

· Source: Artificial intelligence (AI) – The Conversation · Field: Media & Entertainment — Content Creation & Production, Publishing & Journalism, Creative Industries & Arts · Depth: Fundamental Awareness, short

Summary

Anthropic, the AI company behind the Claude chatbot, agreed in 2025 to a US$1.5 billion class-action settlement in Bartz v. Anthropic, compensating authors for copyright infringement. Initially, the infringement was assumed to be about content, but increasing evidence suggests AI models like Claude can also mimic an author's unique voice and style. For example, journalist Julia Angwin filed a class-action suit in March 2026 against Grammarly, alleging misappropriation of writers' identities for its "Expert Review" AI tool. The article explores this capability by prompting Claude to write in the style of Laura Beers and George Orwell. While Claude's attempt to mimic Orwell was passable, the author remains skeptical that AI can produce true art without genuine human experience, despite its ability to mass-produce popular fiction and screenplays, akin to the "novel-writing machines" envisioned in Orwell's "1984."

Key takeaway

For content creators and publishers evaluating AI tools, you should recognize that AI's capabilities extend beyond content generation to stylistic mimicry. Your teams must consider the implications of AI training on authorial voice and identity, not just subject matter. This shift necessitates reviewing intellectual property policies and potentially exploring new compensation models for stylistic contributions, especially as AI-generated sequels and mass-produced content become more prevalent.

Key insights

AI models can mimic authorial voice and style, raising concerns beyond mere content regurgitation.

Principles

Method

Prompting an AI chatbot to generate text "in the style of [Author Name]" on a specific subject to evaluate its stylistic mimicry.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Legal Professional, AI Ethicist, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.