
A former employee of an AI editing start-up reveals the truth about the job. The AI did the editing, not the humans.
The author warns that using such tools makes people worse editors.
She left the job to preserve her own skills.
What happened
A former employee of an AI editing start-up describes how the company used AI tools to edit manuscripts, often without human reading, and how she was told to work faster than a "manual editor" could.
Why it matters
The piece argues that relying on AI editing erodes editorial skill and judgment. The author notes a study finding that heavy AI tool users felt no ownership over their output, and she describes feeling her own skills atrophy.
What to watch
The author suggests that with AI, "anyone on the precipice of acquiring skill will atrophy into an unskilled laborer." She questions whether writers will accept an editor that makes prose "equivocatingly indistinguishable."
Ask the AI about this article →
The article is a first-person confession from a former employee of an AI editing start-up. It reveals how the company's AI tool was used to edit manuscripts, often replacing human reading and judgment. The author describes being pressured to work faster than a "manual editor," and how she eventually stopped reading the texts entirely, relying on the AI's output.
The author argues that this reliance on AI is corrosive to editorial skill. She cites a study finding that heavy AI users felt no ownership over their output, and she describes her own growing disillusionment. She also critiques the AI's style, noting that it mistakes recurrences (like em dashes) for good writing and favors "pseudo-profundities" like "delve."
The piece ultimately serves as a warning about the human cost of AI automation in creative fields. The author's decision to quit two years ago was a "selfish desire to stockpile" her conviction in creative labor. She notes that with AI, anyone "on the precipice of acquiring skill will atrophy into an unskilled laborer." The piece does not offer solutions, but it questions whether the efficiency gains are worth the erosion of human expertise.
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