Will AI replace Proofreaders and Copy Markers?
Work in Proofreaders and Copy Markers sits in the in-between: AI reaches some of it (~98% in theory) but is only measured doing about 18% today — part human, part machine.
O*NET-SOC 43-9081
How your 9 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~98%). By late 2025, real-world AI use had reached about 18% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~98%) and its real-world use (~18%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 9 tasks, ratedBased on real task-level AI scores — click to collapse
- Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.
- Read corrected copies or proofs to ensure that all corrections have been made.
- Correct or record omissions, errors, or inconsistencies found.
- Compare information or figures on one record against same data on other records, or with original copy, to detect errors.
- Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.
- Consult reference books or secure aid of readers to check references with rules of grammar and composition.
- Consult with authors and editors regarding manuscript changes and suggestions.
- Archive documents, conduct research, and read copy, using the internet and various computer programs.
- Write original content, such as headlines, cutlines, captions, and cover copy.
- No tasks in this middle tier.
- ⚠️ None — every core task is at least partly within AI's reach. The job won't vanish, but almost all of it changes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.