Editorial illustration for Editor Urges Writers to 'Be More Human' as Anti-AI Literary Push Grows
Writers Battle AI Influence to Sound More Human
Editor Urges Writers to 'Be More Human' as Anti-AI Literary Push Grows
Laura Brooke Robson started writing her novel "Love Is an Algorithm" last year with a strange new worry: sounding too much like a chatbot. The book itself is about an AI dating app cofounder falling for a musician, but the anxiety bled into her sentences. She avoided what she calls "wishy-washy metaphors" and took what she describes as "a more winding path" just to dodge an em dash or a three-item list, the kind of tidy rhythm large language models produce by default.
Robson isn't alone. A loose cohort of novelists, critics, journalists and even LinkedIn regulars has started converging on a set of habits that push back against machine-generated prose, mostly by avoiding its calling cards. Passive voice is out.
So are lists of three, the "not x but y" construction, and the now-notorious em dash. What's replacing them is a deliberate embrace of mess: odd punctuation, invented phrases, small stylistic mistakes left in on purpose. The idea is that imperfection reads as proof of a person on the other end of the sentence, something no model, at least for now, bothers faking.
Robson is part of a larger cohort of writers who are practicing what could be called an anti-AI writing style. Across journalism, criticism, creative writing, and especially among compulsive LinkedIn posters, writers are converging on a set of choices that implicitly resist the trappings of AI-generated prose.
Why this matters
For anyone building with LLMs, this is a signal worth watching rather than dismissing as literary snobbery. Writers like Robson and editors like Fisher are essentially reverse-engineering the stylistic fingerprints of models trained on massive text corpora, and consciously writing against them. That's a market response to a detection problem: if em dashes, tripartite lists, and smoothed-over prose become shorthand for "machine-written," then human authenticity gets redefined by what a model won't do.
For founders working on writing tools, that's a real product signal. Features that flatten prose into competent, balanced sentences may be actively driving away the audience that values distinctiveness. For researchers, it's a reminder that stylistic tells are already legible to readers without any technical detection tool, which raises questions about how durable those tells will stay once models are fine-tuned to avoid them.
Watch whether "written like AI" becomes a genuine market category, and whether publishers start asking for it explicitly.
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Common Questions Answered
What is the 'anti-AI writing style' that Laura Brooke Robson and other writers are adopting?
Writers like Robson are consciously avoiding stylistic patterns commonly associated with AI-generated text, such as em dashes, three-item lists, and smoothed-over prose rhythms that large language models produce by default. Instead, they deliberately choose winding sentence structures, varied punctuation, and less predictable patterns to signal human authenticity and distinguish their work from machine-generated content.
Why did Laura Brooke Robson worry about sounding like a chatbot while writing 'Love Is an Algorithm'?
Despite her novel's subject matter being about an AI dating app cofounder, Robson developed anxiety about inadvertently adopting the tidy, predictable rhythms and stylistic patterns that AI language models naturally produce. This concern led her to actively modify her writing choices to avoid common AI-generated prose characteristics like wishy-washy metaphors and default sentence structures.
How are writers reverse-engineering AI stylistic fingerprints according to the article?
Writers and editors are analyzing the characteristic patterns of text generated by large language models trained on massive corpora, then consciously writing against those patterns to create distinctly human prose. By identifying and avoiding telltale markers like em dashes, tripartite lists, and overly smooth prose, they are essentially creating a market response to AI detection problems.
What is the broader significance of the anti-AI literary movement for LLM developers?
The emergence of anti-AI writing styles represents a market signal that human authenticity is being redefined through stylistic choices that explicitly resist machine-generated characteristics. For anyone building with LLMs, this trend indicates that as certain writing patterns become associated with AI output, consumers and writers will increasingly value and seek out distinctly human writing conventions.
Where is the anti-AI writing style most prevalent across different writing sectors?
The anti-AI writing movement spans across journalism, criticism, creative writing, and is especially prominent among LinkedIn posters who are converging on similar stylistic choices that resist AI-generated prose conventions. This widespread adoption across multiple writing disciplines suggests a coordinated cultural response to the proliferation of AI-generated content.
Further Reading
- More Typos, Fewer Em Dashes: Writers Are Creating an Anti-AI ‘Literary Counterculture' - Wired
- More than 70 writers send open letter about AI to literary publishers - NPR
- Colleen Hoover, Emily Henry among 70 authors urging publishers against AI use - USA Today
- Authors petition publishers to curtail their use of AI - NPR
- Authors Are Posting TikToks to Protest AI Use in Writing—and to Prove They Aren't Doing It - Wired
