Will AI replace Postal Service Clerks?
AI reaches some of this job’s work, but most of it stays with people.
30/100
Moderate exposure
More exposed to AI than 47% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 42% of the work
What the job involves
Perform any combination of tasks in a United States Postal Service (USPS) post office, such as receive letters and parcels; sell postage and revenue stamps, postal cards, and stamped envelopes; fill out and sell money orders; place mail in pigeon holes of mail rack or in bags; and examine mail for correct postage. Includes postal service clerks employed by USPS contractors.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(7)
- Check mail to ensure correct postage and that packages and letters are in proper condition for mailing.
- Answer questions regarding mail regulations and procedures, postage rates, and post office boxes.
- Weigh letters and parcels, compute mailing costs based on type, weight, and destination, and affix correct postage.
- Keep money drawers in order, and record and balance daily transactions.
- Complete forms regarding changes of address, or theft or loss of mail, or for special services such as registered or priority mail.
and 2 more
Out of reach(12)
- Sort incoming and outgoing mail, according to type and destination, by hand or by operating electronic mail-sorting and scanning devices.
- Transport mail from one work station to another.
- Obtain signatures from recipients of registered or special delivery mail.
- Receive letters and parcels, and place mail into bags.
- Sell and collect payment for products such as stamps, prepaid mail envelopes, and money orders.
and 7 more
Also called
Postal Clerk · Window Clerk · Mail Agent · Mail Clerk · Post Office Clerk · Bulk Mail Technician · Clerk · Bulk Mail Clerk
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics