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Word Processors and Typists vs Receptionists and Information Clerks

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

A factual, source-backed comparison of Word Processors and Typists and Receptionists and Information Clerks 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.”

Word Processors and Typists Receptionists and Information Clerks
Median pay · BLS OEWS
$47,850
$37,230
Employment · BLS OEWS
36,030
964,530
AI exposure (percentile) · task overlap, not automation
84th pct
78th pct

At a glance

Dimension Word Processors and Typists Receptionists and Information Clerks
Median pay $47,850 $37,230
Employment 36,030 964,530
Employment outlook (2024–34) · BLS projection Declining (-36.1%) About average (0.0%)
Annual openings · BLS projection 2,200 128,500
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 · 84th pct High · 78th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 100th pct · 65% of tasks 95th pct · 57% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (57.8%) Automation-leaning (55.1%)
Mostly remote-capable · Dingel–Neiman Yes No

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

Specific to Word Processors and Typists

  • Wrist-Finger Speed
  • Finger Dexterity
  • Law and Government
  • Judgment and Decision Making
  • Flexibility of Closure
  • Visualization
  • Quality Control Analysis
  • Mathematical Reasoning

Specific to Receptionists and Information Clerks

  • Time Sharing
  • Complex Problem Solving
  • Public Safety and Security
  • Telecommunications
  • Persuasion
  • Instructing
  • Personnel and Human Resources
  • Communications and Media

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 , Document management software , Accounting software , Data base user interface and query software , Presentation software , Word processing software , Customer relationship management CRM software , Desktop publishing software , Medical software .

Specific to Word Processors and Typists

Specific to Receptionists and Information Clerks

Full profiles

This page is a summary. See the complete source-backed profile for Word Processors and Typists or Receptionists and Information Clerks — 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. "Word Processors and Typists vs Receptionists and Information Clerks." 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/word-processors-and-typists-vs-receptionists-and-information-clerks

APA

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

BibTeX 
@misc{singulariki-word-processors-and-typists-vs-receptionists-and-information-clerks,
  title  = {Word Processors and Typists vs Receptionists and Information Clerks},
  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/word-processors-and-typists-vs-receptionists-and-information-clerks}
}

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