Headline risk
60%
Very High RiskMail clerks and mail machine operators, except postal service
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
Prepare incoming and outgoing mail for distribution. Time-stamp, open, read, sort, and route incoming mail; and address, seal, stamp, fold, stuff, and affix postage to outgoing mail or packages. Duties may also include keeping necessary records and completed forms.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 38,150
Employment 2024
67.4K
Projected Change (2024–34)
-6.6%
Openings (2024–34)
6.9K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Remove containers of sorted mail or parcels and transfer them to designated areas according to established procedures. AI use: 0%
- 2. Sort and route incoming mail, and collect outgoing mail, using carts as necessary. AI use: 0%
- 3. Wrap packages or bundles by hand, or by using tying machines. AI use: 0%
- 4. Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors. AI use: 0%
- 5. Verify that items are addressed correctly, marked with the proper postage, and in suitable condition for processing. AI use: 0%
- 6. Affix postage to packages or letters by hand, or stamp materials, using postage meters. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 44.7 · 63K employed
Under 25: 11% · 25–54: 57% · 55+: 30%
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
title_match · 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.