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AI exposure Office and administrative support

Will AI replace postal service clerks?

Postal Service Clerks. US occupation 43-5051.

0.0%

of the time postal service clerks spend on their work goes on tasks where AI is already being used to do that work.of postal service clerks' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for postal service clerksWhat postal service clerks no longer do alone

O*NET lists 19 tasks for postal service clerks. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

19 of the 19 tasks show no AI use at work in the data.

  • Answer questions regarding mail regulations and procedures, postage rates, and post office boxes.Core task
  • Check mail to ensure correct postage and that packages and letters are in proper condition for mailing.Core task
  • Obtain signatures from recipients of registered or special delivery mail.Core task
  • Sort incoming and outgoing mail, according to type and destination, by hand or by operating electronic mail-sorting and scanning devices.Core task
  • Transport mail from one work station to another.Core task
  • Weigh letters and parcels, compute mailing costs based on type, weight, and destination, and affix correct postage.Core task
Show the other 13
  • Cash money orders.
  • Complete forms regarding changes of address, or theft or loss of mail, or for special services such as registered or priority mail.
  • Feed mail into postage canceling devices or hand stamp mail to cancel postage.
  • Keep money drawers in order, and record and balance daily transactions.
  • Order retail items and other supplies for office use.
  • Provide assistance to the public in complying with federal regulations of Postal Service and other federal agencies.
  • Provide customers with assistance in filing claims for mail theft, or lost or damaged mail.
  • Put undelivered parcels away, retrieve them when customers come to claim them, and complete any related documentation.
  • Receive letters and parcels, and place mail into bags.
  • Register, certify, and insure letters and parcels.
  • Rent post office boxes to customers.
  • Respond to complaints regarding mail theft, delivery problems, and lost or damaged mail, filling out forms and making appropriate referrals for investigation.
  • Sell and collect payment for products such as stamps, prepaid mail envelopes, and money orders.

How that compares

Among the 50 office and administrative support occupations, postal service clerks rank 45. The group averages 19.1%, and its most exposed job is Customer Service Representatives at 70.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Plating Machine Setters, Operators, and Tenders, Metal and Plastic 0.0%
  2. 346Podiatrists 0.0%
  3. 346Political Science Teachers, Postsecondary 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.