Mail Clerks and Mail Machine Operators, Except Postal Service: daily tasks & AI impact
This page breaks Mail Clerks and Mail Machine Operators, Except Postal Service into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 19/100 (Lower automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Wrap packages or bundles by hand, or by using tying machines. Core | 4.46 | — | — |
| Weigh packages or letters to determine postage needed, using weighing scales and rate charts. Supplemental | 4.3 | — | — |
| Verify that items are addressed correctly, marked with the proper postage, and in suitable condition for processing. Core | 4.29 | — | — |
| Inspect mail machine output for defects and determine how to eliminate causes of any defects. Supplemental | 4.29 | — | — |
| Remove containers of sorted mail or parcels and transfer them to designated areas according to established procedures. Core | 4.26 | — | — |
| Sort and route incoming mail, and collect outgoing mail, using carts as necessary. Core | 4.21 | — | — |
| Remove from machines printed materials, such as labeled articles, postmarked envelopes or tape, and folded sheets. Supplemental | 4.18 | — | — |
| Affix postage to packages or letters by hand, or stamp materials, using postage meters. Core | 4.16 | — | — |
| Determine manner in which mail is to be sent, and prepare it for delivery to mailing facilities. Core | 4.16 | — | — |
| Release packages or letters to customers upon presentation of written notices or other identification. Supplemental | 4.15 | — | — |
| Operate computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes. Supplemental | 4.12 | — | — |
| Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors. Core | 4.1 | — | — |
| Answer inquiries regarding shipping or mailing policies. Supplemental | 4 | — | — |
| Lift and unload containers of mail or parcels onto equipment for transportation to sortation stations. Supplemental | 4 | — | — |
| Seal or open envelopes, by hand or by using machines. Core | 3.87 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Mail Clerks and Mail Machine Operators, Except Postal Service tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Mail Clerks and Mail Machine Operators, Except Postal Service tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Mail Clerks and Mail Machine Operators, Except Postal Service task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.