Will AI replace Editors?
Estimated risk score: 70 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (51 to 89).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-3041.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 12 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Prepare, rewrite and edit copy to improve readability, or supervise others who do this work.
- Read copy or proof to detect and correct errors in spelling, punctuation, and syntax.
- Read, evaluate and edit manuscripts or other materials submitted for publication, and confer with authors regarding changes in content, style or organization, or publication.
- Write text, such as stories, articles, editorials, or newsletters.
- Make manuscript acceptance or revision recommendations to the publisher.
- Read material to determine index items and arrange them alphabetically or topically, indicating page or chapter location.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 21 rated tasks. In O*NET’s words.
- Meet frequently with artists, typesetters, layout personnel, marketing directors, and production managers to discuss projects and resolve problems.
What the job is
Plan, coordinate, revise, or edit written material. May review proposals and drafts for possible publication.
Also called: Sports Editor, Newspaper Copy Editor, Censor, Reader, Art Editor, Web Editor, Book Editor, Food Editor.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate