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Word processing software

Technology category · O*NET

Word processing software is a technology category in the O*NET database. Across U.S. occupations, 789 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 55th percentile of AI task-exposure ( moderate) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.

A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.

Example software & tools

Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.

Software / tool Occupations Tags
Microsoft Word 784 Hot In demand
Google Docs 106 Hot
Collaborative editing software 39
Microsoft OneNote 21
3M Post-it App 20
Evernote 19
Apple iWork Pages 5
Microsoft Outlook 3 Hot
Atlas Construction Business Forms 3
AutoCrit Editing Wizard 3
Report generation software 3
WhiteSmoke 3
Wilhelm Publishing Threshold 3
Adobe Acrobat Writer 2
Adobe InCopy 2
After the Deadline 2
Corel WordPerfect Office Suite 2
Elite Minds RightWriter 2
Grammarly Editor 2
Transcription software 2
WordPerfect 2
myWriterTools 2
Addressing software 1
Advantage Software Total Eclipse 1
Ashley Software Writer's Blocks 1
AudioScribe SpeechCAT 1
Automatic Data Processing ProxyEdge 1
Boston Bar Systems Corporation Sonnet 1
Burli Software Burli Newsroom System 1
Bytescribe Development Company WavPlayer 1
Cheetah International SmartCAT 1
Concierge Systems Report Concierge 1
Contour Storyteller 1
Crick Software Clicker 4 1
Editing software 1
Editor Software Stylewriter 1
Electronic Transcript Software ProTEXT 1
Electronic diary software 1
Emmaus MPWord 1
Ewing Solutions QuickWriter 1

Showing the top 40 of 92 products in this category.

Occupations that use Word processing software

Showing 40 of 789 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 36 occupations in occupations that use Word processing software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Ambulance Drivers and Attendants, Except Emergency Medical Technicians Acupuncturists Adhesive Bonding Machine Operators and Tenders Animal Trainers Aircraft Service Attendants Anesthesiologist Assistants Aircraft Cargo Handling Supervisors Animal Breeders Administrative Services Managers Airline Pilots, Copilots, and Flight Engineers Agricultural Technicians Animal Caretakers Acute Care Nurses Adapted Physical Education Specialists Airfield Operations Specialists Aerospace Engineering and Operations Technologists and Technicians Agricultural Engineers Anthropologists and Archeologists Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors Administrative Law Judges, Adjudicators, and Hearing Officers Aerospace Engineers Advertising Sales Agents AI task-overlap percentile → ↑ Median pay
Occupations that use Word processing software, by AI task-overlap and median pay

How AI is used by roles that use Word processing software

A software category is not itself "being automated" — but we can look at the roles that report using Word processing software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 59.7% of the 789 roles that use this category carry observed AI-usage data (471 roles).

Across those roles, 59.6% of AI conversations are people working with AI and 34.9% hand a task to AI , with an average autonomy of 3.67 / 5.

Collaboration pattern Share What it means
task iteration 33.5% you and AI go back and forth
directive 32.3% AI does it; you give the instruction
learning 18.1% you ask AI to explain or teach
validation 8.1% you do it; AI checks your work
feedback loop 2.5% AI does it, then adjusts from your feedback

Roles behind this signal

The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Occupation Works with AI Autonomy
English Language and Literature Teachers, Postsecondary 63.2% 4.0/5
Biological Science Teachers, Postsecondary 63.2% 4.0/5
Editors 68.2% 4.0/5
Foreign Language and Literature Teachers, Postsecondary 65.2% 3.0/5
Poets, Lyricists and Creative Writers 46.2% 4.0/5
Educational, Guidance, School, and Vocational Counselors 70.6% 4.0/5
Technical Writers 54.2% 4.0/5
Office Clerks, General 36.5% 3.0/5
Recreation and Fitness Studies Teachers, Postsecondary 66.2% 3.3/5
Social Work Teachers, Postsecondary 67.2% 3.5/5
Philosophy and Religion Teachers, Postsecondary 66.8% 3.3/5
Education Teachers, Postsecondary 65.3% 3.5/5

Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Word processing software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.

Industries that concentrate this

Where Word processing software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Word processing software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.

Nationally, about 80.6% of workers are in occupations that significantly use Word processing software (measured across 67 industries).

Sectors with the most such workers

Sector Workers Employment reach
Health Care and Social Assistance 16,610,680 71.9%
Retail Trade 11,980,530 76.8%
Educational Services 10,858,160 79.6%
Professional, Scientific, and Technical Services 10,435,500 96.9%
Manufacturing 9,821,420 77.0%
Accommodation and Food Services 8,438,510 59.3%
Administrative and Support and Waste Management and Remediation Services 7,976,820 88.3%
Construction 7,040,010 86.7%
Finance and Insurance 6,121,300 98.3%
Transportation and Warehousing 6,051,000 81.9%
Wholesale Trade 5,342,010 88.5%
Other Services (except Public Administration) 3,713,980 83.9%

Industries where it is most concentrated

Industry Level Concentration Employment reach
Veterinary Services National industry 1.24× 99.6%
Offices of Optometrists National industry 1.24× 99.7%
Offices of Chiropractors National industry 1.24× 99.9%
Insurance Agencies and Brokerages National industry 1.23× 99.2%
Labor Unions and Similar Labor Organizations National industry 1.23× 98.8%
Radio Broadcasting Stations National industry 1.23× 98.8%
Wind Electric Power Generation National industry 1.23× 99.0%
Finance and Insurance Sector 1.22× 98.3%
Electrical Contractors and Other Wiring Installation Contractors National industry 1.22× 98.4%
Direct Health and Medical Insurance Carriers National industry 1.22× 98.3%
Ambulance Services National industry 1.22× 98.4%
Plumbing, Heating, and Air-Conditioning Contractors National industry 1.21× 97.3%

Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Word processing software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/word-processing-software

APA

Singulariki. (2026). Word processing software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/word-processing-software

BibTeX
@misc{singulariki-word-processing-software,
  title  = {Word processing software},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/tools/word-processing-software}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.