Headline risk
61%
Very High RiskMail clerks and mail machine operators, except postal service
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
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
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.