Headline risk
73%
Very High RiskWord processors and typists
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Use word processor, computer, or typewriter to type letters, reports, forms, or other material from rough draft, corrected copy, or voice recording. May perform other clerical duties as assigned.
Task evidence
100% weighted task match · 22% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 47,850
Employment 2024
40.0K
Projected Change (2024–34)
-36.1%
Openings (2024–34)
2.2K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Perform other clerical duties, such as answering telephone, sorting and distributing mail, running errands or sending faxes. AI use: 0%
- 2. Print and make copies of work. AI use: 0%
- 3. Check completed work for spelling, grammar, punctuation, and format. AI use: 77%
- 4. File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update, and delete documents. AI use: 0%
- 5. Transmit work electronically to other locations. AI use: 0%
- 6. Address envelopes or prepare envelope labels, using typewriter or computer. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 49.2 · 62K employed
Under 25: 15% · 25–54: 55% · 55+: 32%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
crosswalk_exact · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.