AI exposure: Postal Service Mail Sorters, Processors, and Processing Machine Operators
Prepare incoming and outgoing mail for distribution for the United States Postal Service (USPS). Examine, sort, and route mail. Load, operate, and occasionally adjust and repair mail processing, sorting, and canceling machinery. Keep records of shipments, pouches, and sacks, and perform other duties related to mail handling within the postal service. Includes postal service mail sorters and processors employed by USPS contractors.
Reading this score
computedAt 20.9% of weighted task load, Postal Service Mail Sorters, Processors, and Processing Machine Operators sits at the 38th percentile, below the point where a job's centre of gravity has moved. 70.1% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 14 tasks it averages 2.36 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Check items to ensure that addresses are legible and correct, that sufficient postage has been..., at 80.0%. The least is Rewrap soiled or broken parcels, at 0.0%. A gap of 80.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within office and administrative support occupations, this one is less exposed than the median of 55.9% across the group's 51 roles, with 50 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 14 tasks, 4 are currently banded exposed, 0 assisted and 10 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.11 | 0-4 |
| Embodiment | 2.36 | 0-3 |
| Presence | 0.54 | 0-3 |
| Accountability | 0.43 | 0-3 |
| Context | 0.89 | 0-3 |
| Verification cost | 0.50 | 0-3 |
Task by task
14 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| 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. | 80.0% | 20.0% | 0.0% | 4.45 | exposed |
| Search directories to find correct addresses for redirected mail. | 50.0% | 25.0% | 25.0% | 3.98 | exposed |
| Operate various types of equipment, such as computer scanning equipment, addressographs, mimeographs, optical character readers, and bar-code sorters. | 33.3% | 16.7% | 50.0% | 4.35 | exposed |
| Train new workers. | 26.7% | 23.3% | 50.0% | 4.05 | exposed |
| Sort odd-sized mail by hand, sort mail that other workers have been unable to sort, and segregate items requiring special handling. | 20.0% | 5.0% | 75.0% | 4.10 | untouched |
| Direct items according to established routing schemes, using computer-controlled keyboards or voice-recognition equipment. | 16.7% | 8.3% | 75.0% | 4.55 | untouched |
| Cancel letter or parcel post stamps by hand. | 16.7% | 8.3% | 75.0% | 3.75 | untouched |
| Move containers of mail, using equipment, such as forklifts and automated "trains". | 11.7% | 13.3% | 75.0% | 4.28 | untouched |
| Bundle, label, and route sorted mail to designated areas, depending on destinations and according to established procedures and deadlines. | 9.2% | 3.3% | 87.5% | 4.41 | untouched |
| Clear jams in sorting equipment. | 0.0% | 0.0% | 100.0% | 4.44 | untouched |
| Open and label mail containers. | 0.0% | 0.0% | 100.0% | 4.27 | untouched |
| Load and unload mail trucks, sometimes lifting containers of mail onto equipment that transports items to sorting stations. | 0.0% | 0.0% | 100.0% | 4.23 | untouched |
| Distribute incoming mail into the correct boxes or pigeonholes. | 0.0% | 0.0% | 100.0% | 4.10 | untouched |
| Rewrap soiled or broken parcels. | 0.0% | 0.0% | 100.0% | 4.08 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.