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# Will postmasters be replaced by AI?

Updated October 2026

Postmasters score 43 out of 100 for AI exposure. AI helps with 57% of their task time, and they stay in charge. AI can do another 31%. 12% needs a person.

-   **31%** AI can do it
-   **57%** AI helps
-   **12%** Needs a person

Moderate exposure

Higher than 58% of the 923 jobs we scored.

## Task by task

We graded 13 tasks, most exposed first. AI can do 3 of them, helps with 8 and leaves 2 to people.

| Task | AI exposure |
| --- | --- |
| Prepare and submit detailed and summary reports of post office activities to designated supervisors. Report drafting from system data is a strong LLM task. | 75% AI can do it |
| Monitor employees' work schedules and attendance for payroll purposes. Timekeeping data review and anomaly flagging is highly automatable. | 70% AI can do it |
| Prepare employee work schedules. Scheduling tools can build shift rosters from staffing rules. | 65% AI can do it |
| Inform the public of available services, and of postal laws and regulations. AI can answer common service and rules questions well. | 50% AI helps |
| Resolve customer complaints. AI drafts complaint replies; real resolution needs case judgement. | 45% AI helps |

## How postmasters compare

All jobs (923)

Management (56)

The dark line is **postmasters, at 43**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 46 for management.

## Pay and outlook in the US

Median pay

$96,660 a year, May 2025

People employed

13,810 in the US, May 2025

Projected change in jobs

\-0.3% from 2024 to 2034

## Skills to build

-   Verify AI-drafted activity reports against system data in Excel
-   Build and audit shift rosters against staffing rules
-   Clear timekeeping anomalies in payroll software before each run
-   Negotiate labor disputes in person with postal unions
-   Run floor supervision of incoming and outgoing mail
-   Resolve customer complaints that need case judgement

## Safer roles nearby

5 related jobs with lower scores.

-   [Postal service clerks38 out of 100](https://www.aigentcy.com/ai-exposure/postal-service-clerks/)
-   [Administrative services managers38 out of 100](https://www.aigentcy.com/ai-exposure/administrative-services-managers/)
-   [Mail sorters20 out of 100](https://www.aigentcy.com/ai-exposure/mail-sorters/)
-   [Warehouse supervisors40 out of 100](https://www.aigentcy.com/ai-exposure/warehouse-supervisors/)
-   [Logistics supervisors39 out of 100](https://www.aigentcy.com/ai-exposure/logistics-supervisors/)

## Questions about postmasters and AI

Will AI replace postmasters?

Partly. About 4 in 10 of a postmaster's working hours go to tasks AI can already do, mostly report preparation and payroll timekeeping review. Floor supervision, labor negotiation, and counter cash handling stay with people.

Which tasks of postmasters is AI taking over?

Report preparation comes first, with an exposure score of 75, since an LLM can turn post office activity data into drafts for supervisors. Timekeeping review follows at 70, because flagging attendance anomalies for payroll is pattern matching. Shift roster building at 65 comes next, handled by scheduling software.

Which tasks of postmasters stay with people?

Negotiating labor disputes stays human, since live bargaining with unions carries legal and relational accountability. Counter cash handling and money order sales stay human because they are physical work at the window. Floor supervision of incoming and outgoing mail also stays with people on site.

How can postmasters stay valuable as AI spreads?

Review every AI-drafted report against source data in Microsoft Excel before it reaches supervisors. Make the final call on flagged timekeeping anomalies in payroll software. Keep floor supervision and labor bargaining in your hands, since those carry the accountability.

## Related jobs

-   [Logistics managers51 out of 100](https://www.aigentcy.com/ai-exposure/logistics-managers/)
-   [Administrative supervisors55 out of 100](https://www.aigentcy.com/ai-exposure/administrative-supervisors/)
-   [General managers44 out of 100](https://www.aigentcy.com/ai-exposure/general-managers/)
-   [Sales supervisors48 out of 100](https://www.aigentcy.com/ai-exposure/sales-supervisors/)

## Next steps for postmasters

-   ### Check your job
    
    Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    
-   ### Estimate team savings
    
    The score is per person. Add headcount and salary to see the hours AI can take on in a team of postmasters, and what they cost.
    
    [Estimate what AI saves a team of postmasters](https://www.aigentcy.com/tools/team-ai-audit/?role=postmasters) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

## Related topics

-   [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/)
-   [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/)
-   [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
-   [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/)
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-   [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/)
-   [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
-   [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/)
-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Sources and licences

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
