Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
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
They type and format documents, ensuring everything looks neat and professional, so businesses and individuals can communicate clearly and effectively.
This role is changing fast
The career of word processors and typists is "Changing fast" because many tasks like typing and basic proofreading can now be done by AI tools, such as speech recognition and grammar checkers. This automation has reduced the need for dedicated typists, as AI can handle routine work quickly and accurately.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of word processors and typists is "Changing fast" because many tasks like typing and basic proofreading can now be done by AI tools, such as speech recognition and grammar checkers. This automation has reduced the need for dedicated typists, as AI can handle routine work quickly and accurately.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Word Processors & Typists
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today, many typing jobs are partly aided by AI. Software at work automatically checks spelling, grammar and punctuation. In fact, research finds that automated writing tools give quick feedback and even reduce workload for people checking text [1].
Likewise, voice-to-text systems on computers and phones are now very good – studies of modern speech-recognition show error rates around 8–10% [2]. That means most spoken words can be typed by AI as accurately as a human transcriber. However, some tasks remain manual.
For example, adjusting page layout or choosing formatting styles usually still needs a person’s touch (word processors have templates, but not smart AI to do it all). Physically collating printouts or sorting mail often stays hands-on. Overall, the number of dedicated typist jobs has fallen a lot.
The BLS reports about 37,000 word-processors/typists in 2023 [3], down sharply from roughly 305,000 in 2014 [4]. This drop reflects how technology now handles many routine clerical tasks that people used to do.

AI in the real world
AI tools for typing work are already available, which can speed up adoption. Built-in dictation and grammar checkers exist in phones and word apps, so companies can use them without building new tech [2] [1]. Since these workers earn about $22–$23 per hour on average [3], an AI system that does similar work could be seen as cost-saving (especially if it cuts errors or works faster).
On the social side, younger users and students are already comfortable with AI writing tools [1], suggesting future office workers will be too. Still, human oversight is important. Tasks needing judgment or taste – like deciding on tone or fine-tuning a layout – are harder to automate.
Companies will likely use AI to handle heavy routine parts (making offices more efficient), while skilled humans focus on proofreading, new writing or tasks that need creativity and careful decision. This way, humans and AI work together.

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Median Wage
$47,850
Jobs (2024)
40,000
Growth (2024-34)
-36.1%
Annual Openings
2,200
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Perform other clerical duties such as answering telephone, sorting and distributing mail, running errands or sending faxes.
Transmit work electronically to other locations.
Collate pages of reports and other documents prepared.
Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required.
Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator.
Keep records of work performed.
Use data entry devices, such as optical scanners, to input data into computers for revision or editing.
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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