BETA
Updated: Feb 6
BETA
Updated: Feb 6
Changing fast
Last Update: 11/21/2025
Your role’s AI Resilience Score is
25.4%
Median Score
Changing Fast
Evolving
Stable
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
Technical Writers
They create easy-to-understand guides and instructions for using products or software, helping people know how things work and what to do with them.
Summary
The career of technical writing is labeled as "Changing fast" because many tasks, like drafting and editing, can now be sped up by AI tools. These tools can handle routine parts of writing, such as formatting and checking grammar, which reduces the need for human effort.
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View analysisChat with CoachLatest newsMore career infoSummary
The career of technical writing is labeled as "Changing fast" because many tasks, like drafting and editing, can now be sped up by AI tools. These tools can handle routine parts of writing, such as formatting and checking grammar, which reduces the need for human effort.
Read full analysisContributing 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
Evolving66.7%
66.7%
Microsoft's Working with AI
AI Applicability
Changing fast2.3%
2.3%
Anthropic's Economic Index
AI Resilience
Changing fast3.1%
3.1%
Will Robots Take My Job
Automation Resilience
Changing fast11.0%
11.0%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
0.9%
Growth Percentile:
31.3%
Annual Openings:
4.5
Annual Openings Pct:
37.4%
Analysis of Current AI Resilience
Technical Writers
Updated Quarterly • Last Update: 11/21/2025
State of Automation & Augmentation
Technical writing already uses many computer tools. For instance, AI writing systems (like ChatGPT) and smart editing tools can help draft or polish content very quickly. In fact, a recent tech newsletter noted that a major grammar-check company (Grammarly) raised \$1 billion in funding, showing how much investment is going into writing tools [1].
A McKinsey report even calls AI “transformative as the steam engine,” with potential for huge productivity gains [2]. Today’s manuals are often digital – the U.S. Bureau of Labor Statistics says tech writers create both paper and digital instructions [3]. That means many “boring” steps (like formatting, storing, or distributing files) are already automated by software.
But AI isn’t doing everything. Tasks that need human judgment remain in people’s hands. For example, tech writers work closely with engineers and experts and “must be able to understand and discuss complex information” with them [3].
In practice, AI might suggest edits or check clarity, but a human still checks facts and makes final decisions about style and meaning. In short, AI tools can speed up routine writing, but understanding the content and talking through tricky details still needs a person.
Sources
AI Adoption
Many companies are excited about AI, but they adopt it cautiously. A McKinsey study finds that 92% of firms plan to increase AI spending, but only 1% feel fully “AI-ready” [2]. In technical communication, some businesses try AI to save time, while others hold back.
For example, Axios reports that big companies like IBM and Klarna slowed down their AI projects after running into technical issues [1]. Companies worry about mistakes or leaking sensitive information, so they roll out new tools carefully.
Tech writing jobs are expected to grow only slowly (about 1% by 2034) [3]. This modest growth reflects that most openings will replace retiring writers, not rely on brand-new AI workers. It also means companies aren’t in a rush to cut all writer jobs immediately.
There is some anxiety about AI (one article noted CEOs cutting entry-level jobs just in case [1]), but experts say the future is about teamwork. Writers who learn to use AI – to generate first drafts or check consistency – will be even more valuable. In short, AI is coming into technical writing to assist people, not completely take over.
Sources
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More Career Info
Career: Technical Writers
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Employment & Wage Data
Median Wage
$91,670
Jobs (2024)
56,400
Growth (2024-34)
+0.9%
Annual Openings
4,500
Education
Bachelor's degree
Experience
Less than 5 years
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
Study drawings, specifications, mockups, and product samples to integrate and delineate technology, operating procedure, and production sequence and detail.
2
Observe production, developmental, and experimental activities to determine operating procedure and detail.
3
Confer with customer representatives, vendors, plant executives, or publisher to establish technical specifications and to determine subject material to be developed for publication.
4
Review published materials and recommend revisions or changes in scope, format, content, and methods of reproduction and binding.
5
Select photographs, drawings, sketches, diagrams, and charts to illustrate material.
6
Interview production and engineering personnel and read journals and other material to become familiar with product technologies and production methods.
7
Assist in laying out material for publication.
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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