# Will mail sorters be replaced by AI? Updated October 2026 Mail sorters score 20 of 100 for AI exposure. 70% of their task time still needs a person. AI can do 6% today and speed up another 24%. - **6%** AI can do it - **24%** AI helps - **70%** Needs a person Low exposure Lower than 79% of the 923 occupations we scored. ## Task by task We graded 14 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 4 and leaves 9 to people. | Task | AI exposure | | --- | --- | | Search directories to find correct addresses for redirected mail. Directory and change of address lookups are digital searches AI can run. | 70% AI can do it | | Direct items according to established routing schemes, using computer-controlled keyboards or voice-recognition equipment. Keying routing codes is digital, but items must be handled physically. | 50% AI helps | | Train new workers. AI can draft training materials and answer questions, but coaching stays in person. | 40% AI helps | | Check items to ensure that addresses are legible and correct, that sufficient postage has been paid or the appropriate documentation is attached, and that items are in a suitable condition for processing. Address and postage checks can be assisted by image reading, but condition checks stay manual. | 35% AI helps | | Bundle, label, and route sorted mail to designated areas, depending on destinations and according to established procedures and deadlines. Label generation and routing can be assisted, but bundling is physical work. | 28% AI helps | ## How mail sorters compare All occupations (923) Office and administrative support (51) **Mail sorters score 20**, 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 $58,470 a year, May 2025 People employed 105,200 in the US, May 2025 Projected change in jobs \-5.3% from 2024 to 2034 ## Skills to build - Run directory lookups in Microsoft Excel and SAP software - Key routing codes on computer-controlled keyboards accurately - Clear jams and adjust sorting machinery on the floor - Train new workers on routing schemes and mail handling - Log shipments, pouches, and sacks in DOIS and TACS - Check address legibility and postage on incoming items ## Safer roles nearby 4 related occupations with lower scores. - [Warehouse workers17 out of 100](https://www.aigentcy.com/ai-exposure/warehouse-workers/) - [Recycling workers12 out of 100](https://www.aigentcy.com/ai-exposure/recycling-workers/) - [Packers19 out of 100](https://www.aigentcy.com/ai-exposure/packers/) - [Packaging machine operators19 out of 100](https://www.aigentcy.com/ai-exposure/packaging-machine-operators/) ## Questions about mail sorters and AI Will AI replace mail sorters? Partly. About 2 in 10 of a mail sorter's working hours go to tasks AI can already do, mostly searching directories for redirected mail and keying routing codes. Loading trucks, clearing jams, rewrapping damaged parcels and moving containers stay with people because they need hands on the equipment and the mail. Which mail sorter tasks is AI taking over? Directory and change of address lookups are the most exposed task, with an exposure score of 70, because they are digital searches AI can run. Keying routing codes is also exposed at 50, since the code entry is digital even though the items still have to be handled physically. Which mail sorter tasks stay human? Loading and unloading mail trucks, with an exposure score of 3, stays human because it needs lifting and physical presence. Clearing jams in sorting equipment, at 5, and rewrapping soiled or broken parcels, at 7, need hands on machinery and packages, so people keep these tasks. How can mail sorters stay valuable? Learn the routing schemes well enough to train new workers, since coaching stays in person. Get fast at clearing jams and adjusting sorting machinery, and log shipments, pouches and sacks accurately in DOIS and TACS. Use Excel to check the records that AI tools produce. ## Related jobs - [Mail clerks25 out of 100](https://www.aigentcy.com/ai-exposure/mail-clerks/) - [Shipping clerks47 out of 100](https://www.aigentcy.com/ai-exposure/shipping-clerks/) - [Postal service clerks38 out of 100](https://www.aigentcy.com/ai-exposure/postal-service-clerks/) - [Stockers30 out of 100](https://www.aigentcy.com/ai-exposure/stockers/) ## Next steps for mail sorters - ### 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.