AI exposure by occupation, O*NET 43-5053.00
Will AI replace Postal Service Mail Sorters, Processors, and Processing Machine Operators?
Postal Service Mail Sorters, Processors, and Processing Machine Operators: AI can already handle 6 of 14 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 14 tasks O*NET 30.3 lists for Postal Service Mail Sorters, Processors, and Processing Machine Operators, from most to least exposed. 6 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Clear jams in sorting equipment. | Estimated | Efficient | |
| Bundle, label, and route sorted mail to designated areas, depending on destinations and according to established procedures and deadlines. | Estimated | Efficient | |
| Operate various types of equipment, such as computer scanning equipment, addressographs, mimeographs, optical character readers, and bar-code sorters. | Estimated | Standard | |
| Open and label mail containers. | Estimated | Standard | |
| Load and unload mail trucks, sometimes lifting containers of mail onto equipment that transports items to sorting stations. | Estimated | Efficient | |
| Sort odd-sized mail by hand, sort mail that other workers have been unable to sort, and segregate items requiring special handling. | Estimated | Efficient | |
| Direct items according to established routing schemes, using computer-controlled keyboards or voice-recognition equipment. | Estimated | Efficient | |
| Check items to ensure that addresses are legible and correct, that sufficient postage has been paid or the appropriate documentation is attached, and that items are in a suitable condition for processing. | Estimated | Standard | |
| Distribute incoming mail into the correct boxes or pigeonholes. | Estimated | Frontier | |
| Rewrap soiled or broken parcels. | Estimated | Efficient | |
| Search directories to find correct addresses for redirected mail. | Estimated | Efficient | |
| Cancel letter or parcel post stamps by hand. | Estimated | Efficient | |
| Move containers of mail, using equipment, such as forklifts and automated "trains". | Estimated | Efficient | |
| Train new workers. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 93% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 105,200
- Median annual wage
- $58,470
- Middle half of earners
- $48,880 to $75,030
- Projected change, 2024 to 2034
- -8.4%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Mail Clerks and Mail Machine Operators, Except Postal Service 86% skill overlap, about 5 months to move Exposure76
- Postal Service Clerks 75% skill overlap, about 9 months to move Exposure33
- Postal Service Mail Carriers 71% skill overlap, about 10 months to move Exposure57
- Postmasters and Mail Superintendents 67% skill overlap, about 12 months to move Exposure61
- Office Machine Operators, Except Computer 65% skill overlap, about 12 months to move Exposure29
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Postal Service Mail Sorters, Processors, and Processing Machine Operators and AI
Will AI replace Postal Service Mail Sorters, Processors, and Processing Machine Operators?
AI already handles 6 of the 14 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 68 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -8.4% from 2024 to 2034.
What is the AI exposure of Postal Service Mail Sorters, Processors, and Processing Machine Operators?
68 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.
Which Postal Service Mail Sorters, Processors, and Processing Machine Operators tasks can AI already do?
The tasks with the highest exposure are: Clear jams in sorting equipment; Bundle, label, and route sorted mail to designated areas, depending on destinations and according to established procedures and deadlines; Operate various types of equipment, such as computer scanning equipment, addressographs, mimeographs, optical character readers, and bar-code sorters. They are three of the 6 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 93% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Postal Service Mail Sorters, Processors, and Processing Machine Operators, and what do they earn?
105,200 people in the United States, with a median annual wage of $58,470 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -8.4% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Postal Service Mail Sorters, Processors, and Processing Machine Operators. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/postal-service-mail-sorters-processors-and-processing-machine-operators
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