<!-- Canonical: https://www.aigentcy.com/ai-exposure/mail-clerks/ -->

# Will mail clerks be replaced by AI?

Updated October 2026

Mail clerks score 25 of 100 for AI exposure. 58% of their task time still needs a person. AI can do 6% today and speed up another 36%.

-   **6%** AI can do it
-   **36%** AI helps
-   **58%** Needs a person

Low exposure

Lower than 71% of the 923 occupations we scored.

## Task by task

We graded 26 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 9 and leaves 15 to people.

| Task | AI exposure |
| --- | --- |
| Answer inquiries regarding shipping or mailing policies. Policy questions suit chatbots; in person edge cases need staff. | 70% AI can do it |
| Read production orders to determine types and sizes of items scheduled for printing and mailing. Extracting print job specs from orders is routine document work. | 62% AI can do it |
| Determine manner in which mail is to be sent, and prepare it for delivery to mailing facilities. Mail class and service choice follows rules AI can recommend. | 55% AI helps |
| Operate computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes. Keying routing codes can be automated; staff verify physical items. | 55% AI helps |
| Contact delivery or courier services to arrange delivery of letters and parcels. AI can draft courier requests; phone coordination stays human. | 55% AI helps |

[See what AI can take on across an operations team](https://www.aigentcy.com/ai-for/operations/)

## How mail clerks compare

All occupations (923)

Office and administrative support (51)

**Mail clerks score 25**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 57 for office and administrative support.

## Pay and outlook in the US

Median pay

$39,280 a year, May 2025

People employed

55,230 in the US, May 2025

Projected change in jobs

\-7.2% from 2024 to 2034

## Skills to build

-   Verify address and postage on outgoing mail batches
-   Log mail dispatch records in Microsoft Access
-   Build mailing reports and tracking sheets in Microsoft Excel
-   Arrange courier pickups by phone with carrier accounts
-   Clear sortation equipment jams and change machine ribbons
-   Answer in person shipping policy exceptions at the counter

## Safer roles nearby

3 related occupations with lower scores.

-   [Mail sorters20 out of 100](https://www.aigentcy.com/ai-exposure/mail-sorters/)
-   [Warehouse workers17 out of 100](https://www.aigentcy.com/ai-exposure/warehouse-workers/)
-   [Packers19 out of 100](https://www.aigentcy.com/ai-exposure/packers/)

## Questions about mail clerks and AI

Will AI replace mail clerks?

Partly. About 3 in 10 working hours go to tasks AI can already do, mostly answering shipping policy inquiries and reading production orders for print specs. Handling physical mail stays with people, because lifting containers, clearing sortation jams and sealing envelopes all need hands on machines.

Which tasks will AI take over from mail clerks?

Chatbots can answer routine questions on shipping and mailing rules, a task that scores 70 on exposure. Reading production orders for item types and sizes scores 62, since pulling print specs from an order is routine document work. AI can also draft courier requests, though the phone coordination stays with the clerk.

Which tasks stay with mail clerks?

Lifting and unloading mail containers scores 3 on exposure, and clearing jams in sortation equipment also scores 3. Both need hands and physical judgement on machines. Sealing envelopes and wrapping packages manually score 8, because they are physical handling of the item.

How can mail clerks stay valuable?

Check the physical items that software misses, such as postage condition and damage. Build mailing logs and dispatch reports in Microsoft Excel and Access. Handle the in person policy exceptions that chatbots pass back to staff. Keep carrier phone contacts current and arrange courier pickups yourself.

## Related jobs

-   [Postal service clerks38 out of 100](https://www.aigentcy.com/ai-exposure/postal-service-clerks/)
-   [Shipping clerks47 out of 100](https://www.aigentcy.com/ai-exposure/shipping-clerks/)
-   [Postal service mail carriers26 out of 100](https://www.aigentcy.com/ai-exposure/postal-service-mail-carriers/)
-   [Couriers35 out of 100](https://www.aigentcy.com/ai-exposure/couriers/)

## Next steps for mail clerks

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your 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/)
    

### 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**Cement masons score lowest, at 8.](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**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
-   [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/)
-   [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/)
-   [**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 publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation 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/)

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.
