Last Update: 11/21/2025
Your role’s AI Resilience Score is
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
They type and format documents, ensuring everything looks neat and professional, so businesses and individuals can communicate clearly and effectively.
Summary
The career of word processors and typists is labeled as "Changing fast" because many of the routine tasks, like typing and checking for spelling and grammar errors, are now handled by software and AI tools. Technologies like speech-to-text and chatbots can do these jobs faster and more efficiently, reducing the demand for human typists.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of word processors and typists is labeled as "Changing fast" because many of the routine tasks, like typing and checking for spelling and grammar errors, are now handled by software and AI tools. Technologies like speech-to-text and chatbots can do these jobs faster and more efficiently, reducing the demand for human typists.
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
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
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: 11/21/2025

State of Automation & Augmentation
Many of the tasks done by word processors and typists are already handled by software or basic automation. For example, spelling and grammar checking is built into word processors, and advanced tools (like Microsoft Word’s editor) use AI-style rules to catch errors. Dictation software and speech-to-text can convert spoken words to text quickly, so typing from voice recordings can be much faster than manual typing.
Companies increasingly use chatbots or automated voice systems to answer routine phone calls and messages [1] [2]. Filing and organizing documents is also computer-based: modern offices use digital databases and electronic filing systems rather than paper folders [2]. All these tools “augment” the work of a human assistant by doing the repetitive parts.
That said, not every task is fully automated yet. For instance, tasks like running errands or understanding complex instructions still need a person. Even with AI tools, humans often have to review the work (no tool is perfect).
Today there are roughly 37,200 word-processing/typing jobs in the U.S. (May 2023) [2] – much lower than in past decades – showing that computers have already reduced the need for these roles. In short, AI and software handle many routine tasks (typing, checking text, filing) and free people up to do things that need personal judgment or creativity.

AI Adoption
Whether offices adopt more AI tools quickly depends on costs and needs. On one hand, the technology is available and can save money and time. For example, businesses use AI chatbots to handle up to 70–90% of routine calls [1], and automated transcription tools can convert speech into text 30% faster than typing in some studies.
The economic benefit (lower labor costs, faster work) can push companies to try AI tools. Also, many office workers already know basic computer and word-processing skills from high school [2], so learning new software may be easy.
On the other hand, adoption can be slow if the benefits aren’t clear or people prefer human service. Most customers still like talking to a real person on the phone [1], so companies may keep humans for important tasks. Setting up AI systems also costs money and training, and small offices with modest pay rates (around $22/hour [2] for secretarial work) might not find it worth it yet.
There are also worries about mistakes, privacy, or fairness with AI. In practice, firms may use a mix: AI tools for obvious savings, but keep people doing work that needs care, empathy or complex thinking. Experts note AI will likely change these jobs rather than vanish them completely [1], so learning to work with AI can keep these careers relevant and even open new opportunities.

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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
Work with technical material, preparing statistical reports, planning and typing statistical tables, and combining and rearranging material from different sources.
Check completed work for spelling, grammar, punctuation, and format.
Perform other clerical duties such as answering telephone, sorting and distributing mail, running errands or sending faxes.
Gather, register, and arrange the material to be typed, following instructions.
Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation or previous versions, using a computer, word processor, or typewriter.
File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update and delete documents.
Print and make copies of work.
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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