How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.81
- Read corrected copies or proofs to ensure that all corrections have been made.81
- Correct or record omissions, errors, or inconsistencies found.81
- Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.81
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Compare information or figures on one record against same data on other records, or with original copy, to detect errors.01
- Typeset and measure dimensions, spacing, and positioning of page elements, such as copy and illustrations, to verify conformance to specifications, using printer's ruler or layout software.02
- Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.03
- Read corrected copies or proofs to ensure that all corrections have been made.04
- Correct or record omissions, errors, or inconsistencies found.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Editors
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Related work
Compare these careers →Poets, Lyricists and Creative Writers
Shares some work
Compare these careers →News Analysts, Reporters, and Journalists
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
