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Updated: Feb 6

Changing fast

Last Update: 11/21/2025

Your role’s AI Resilience Score is

17.0%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Proofreaders and Copy Markers

They check written content for spelling, grammar, and punctuation mistakes to make sure everything is clear and correct before it's published.

Summary

Proofreading is labeled "Changing fast" because AI tools can easily handle many of the simple tasks like catching spelling and basic grammar mistakes. This makes these tools popular as they help people work faster and save time.

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Learn more about how you can thrive in this position

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Latest news
More career info

Summary

Proofreading is labeled "Changing fast" because AI tools can easily handle many of the simple tasks like catching spelling and basic grammar mistakes. This makes these tools popular as they help people work faster and save time.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

1.7%

1.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

2.5%

2.5%

Anthropic's Economic Index

Evolving iconEvolving

50.5%

50.5%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

4.1%

4.1%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-0.6%

Growth Percentile:

23.6%

Annual Openings:

1.9

Annual Openings Pct:

20.5%

Analysis of Current AI Resilience

Proofreaders/Copy Markers

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Proofreaders traditionally scan text and mark up spelling, punctuation and grammar errors [1]. Today, many of those routine checks are handled by AI tools. For example, grammar software (like the checkers built into word processors or apps like Grammarly) can flag typos and punctuation mistakes automatically.

Recent research found that a model like ChatGPT was very good at catching spelling and punctuation errors in a manuscript [2]. In practice, our industry surveys show that AI editing is already common: one 2024 report found about 75% of communications professionals use generative AI, and 70% of them use AI specifically to help with editing text [3]. These tools save time and improve productivity on simple fixes.

However, experts warn that AI still misses nuances of style, tone or content accuracy [2]. In short, current AI is good at the easy stuff (typos, basic grammar) and helps humans work faster, but humans must still check final copies for context, storytelling and tricky errors [2].

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AI Adoption

AI Adoption

There are strong reasons both for fast AI adoption and for caution. On the plus side, writing-assistant tools are widely available and often low-cost (many are free or built into software), so it’s easy for companies or individuals to start using them. Because AI can speed up proofreading, businesses see an economic benefit: saving editor time means faster production.

Indeed, surveys suggest most professionals are eager to try AI editing [3]. For example, only about 6% of PR or communications pros reported being uninterested in AI tools [3], implying the rest see value.

On the other hand, some factors slow full automation. Many worry relying too much on AI might hurt learning and overlook subtle issues [3]. Proofreading often requires understanding context or choosing the right style, which AI still struggles with [2].

Ethical and quality concerns (missing those can be costly) also make editors keep a human in charge [2]. In summary, AI tools for proofreading are cheap and improving, so adoption in routine tasks is quick. But tasks needing deep understanding, creativity or judgment still lean on human skills [2].

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More Career Info

Career: Proofreaders and Copy Markers

Employment & Wage Data

Median Wage

$49,210

Jobs (2024)

12,000

Growth (2024-34)

-0.6%

Annual Openings

1,900

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

35% ResilienceCore Task

Read corrected copies or proofs to ensure that all corrections have been made.

2

35% ResilienceCore Task

Consult reference books or secure aid of readers to check references with rules of grammar and composition.

3

35% ResilienceCore Task

Route proofs with marked corrections to authors, editors, typists, or typesetters for correction or reprinting.

4

25% ResilienceCore Task

Correct or record omissions, errors, or inconsistencies found.

5

25% ResilienceCore Task

Mark copy to indicate and correct errors in type, arrangement, grammar, punctuation, or spelling, using standard printers' marks.

6

25% ResilienceCore Task

Compare information or figures on one record against same data on other records, or with original copy, to detect errors.

7

25% ResilienceSupplemental

Measure dimensions, spacing, and positioning of page elements (copy and illustrations) in order to verify conformance to specifications, using printer's ruler.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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