Will AI replace Proofreaders and Copy Markers?
AI reaches most of this job’s work.
59/100
Very high exposure
More exposed to AI than 91% of US workers.
- AI already used in
- 9% of the work
- As AI tools mature: up to
- 100% of the work
What the job involves
Read transcript or proof type setup to detect and mark for correction any grammatical, typographical, or compositional errors. Excludes workers whose primary duty is editing copy. Includes proofreaders of braille.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.
Within reach(10)
- Correct or record omissions, errors, or inconsistencies found.
- Consult reference books or secure aid of readers to check references with rules of grammar and composition.
- Compare information or figures on one record against same data on other records, or with original copy, to detect errors.
- Read corrected copies or proofs to ensure that all corrections have been made.
- Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.
and 5 more
Also called
Proofreader · Braille Proofreader · Copy Holder · Production Proofreader · Editorial Assistant · Typesetter · Clerical Proofreader · Copy Preparer
Related jobs
- Word Processors and Typists48/100
- Desktop Publishers51/100
- Technical Writers68/100
- File Clerks47/100
- Editors62/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics