AI exposure score

Postmasters and Mail Superintendents

Postmasters and Mail Superintendents score 52 out of 100, which is elevated exposure to AI. That ranks #184 of 923 US occupations, where #1 is the most exposed. Of the 13 tasks in this job, AI could speed up 2 on its own and 9 more with extra software built on top of it. In April–May 2026, 3 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

52/ 100

Elevated

Rank: #184of 923 jobs
US workers: 13,810BLS, May 2025
Median pay: $96,660a year
In real AI use: 3 of 13tasks, April–May 2026

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Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 2 (15%)
AI can speed this up with extra software: 9 (69%)
Little or no AI speed-up: 2 (15%)

Prepare and submit detailed and summary reports of post office activities to designated supervisors.AI can speed this up on its own · core task
Inform the public of available services, and of postal laws and regulations.AI can speed this up on its own · supplemental task · Seen in real AI use
Monitor employees' work schedules and attendance for payroll purposes.AI can speed this up with extra software · core task
Organize and supervise activities, such as the processing of incoming and outgoing mail.AI can speed this up with extra software · core task
Resolve customer complaints.AI can speed this up with extra software · core task · Seen in real AI use
Prepare employee work schedules.AI can speed this up with extra software · core task · Seen in real AI use
Direct and coordinate operational, management, and supportive services of one or a number of postal facilities.AI can speed this up with extra software · core task
Hire and train employees, and evaluate their performance.AI can speed this up with extra software · core task
Negotiate labor disputes.AI can speed this up with extra software · core task
Select and train postmasters and managers of associate postal units.AI can speed this up with extra software · supplemental task
Confer with suppliers to obtain bids for proposed purchases and to requisition supplies, disbursing funds according to federal regulations.AI can speed this up with extra software · supplemental task
Issue and cash money orders.Little or no AI speed-up · supplemental task
Collect rents for post office boxes.Little or no AI speed-up · supplemental task

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Questions about postmasters and mail superintendents and AI

Will AI replace postmasters and mail superintendents?

Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Postmasters and Mail Superintendents score 52 out of 100 (elevated exposure), #184 of 923 US jobs. AI could speed up 11 of the job's 13 tasks, 2 of them on its own, while 2 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which postmasters and mail superintendents tasks can AI do?

The most exposed tasks include "Prepare and submit detailed and summary reports of post office activities to designated supervisors"; "Inform the public of available services, and of postal laws and regulations".

Which postmasters and mail superintendents tasks are hardest for AI?

Tasks with little or no AI speed-up include "Issue and cash money orders"; "Collect rents for post office boxes".

Are people already using AI for this work?

Yes. In April–May 2026, 3 of the 13 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as postmasters and mail superintendents, and what do they earn?

About 13,810 people in the US, with median pay of $96,660 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.