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File Clerks vs Word Processors and Typists

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of File Clerks and Word Processors and Typists on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

File Clerks Word Processors and Typists
Median pay · BLS OEWS
$41,270
$47,850
Employment · BLS OEWS
78,980
36,030
AI exposure (percentile) · task overlap, not automation
80th pct
84th pct

At a glance

Dimension File Clerks Word Processors and Typists
Median pay $41,270 $47,850
Employment 78,980 36,030
Employment outlook (2024–34) · BLS projection Declining (-15.9%) Declining (-36.1%)
Annual openings · BLS projection 7,300 2,200
Typical education · O*NET Usually requires a high school diploma or GED, though some occupations may not. Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies High · 80th pct High · 84th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 69th pct · 37% of tasks 100th pct · 65% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (48.9%) Automation-leaning (57.8%)
Mostly remote-capable · Dingel–Neiman Yes Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Administrative, English Language, Information Ordering, Customer and Personal Service, Written Comprehension, Category Flexibility, Near Vision, Reading Comprehension, Oral Comprehension, Oral Expression, Written Expression, Active Listening, Perceptual Speed, Selective Attention, Law and Government, Computers and Electronics, Speaking, Speech Clarity, Mathematics, Writing, Monitoring, Service Orientation, Deductive Reasoning, Speech Recognition, Critical Thinking, Social Perceptiveness, Time Management, Problem Sensitivity, Inductive Reasoning, Flexibility of Closure, Active Learning, Coordination, Administration and Management, Far Vision, Judgment and Decision Making.

Specific to File Clerks

  • Telecommunications
  • Public Safety and Security
  • Fluency of Ideas
  • Complex Problem Solving
  • Originality

Specific to Word Processors and Typists

  • Wrist-Finger Speed
  • Finger Dexterity
  • Visualization
  • Quality Control Analysis
  • Mathematical Reasoning

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Spreadsheet software , Office suite software , Electronic mail software , Word processing software , Document management software , Accounting software , Data base user interface and query software , Presentation software , Medical software .

Full profiles

This page is a summary. See the complete source-backed profile for File Clerks or Word Processors and Typists — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

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 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "File Clerks vs Word Processors and Typists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/file-clerks-vs-word-processors-and-typists

APA

Singulariki. (2026). File Clerks vs Word Processors and Typists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/file-clerks-vs-word-processors-and-typists

BibTeX
@misc{singulariki-file-clerks-vs-word-processors-and-typists,
  title  = {File Clerks vs Word Processors and Typists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/file-clerks-vs-word-processors-and-typists}
}

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