JobAIRisk

Postal Service Clerks

Postal Service Clerks — AI exposure, safer roles, and a pivot plan.

Also known as: Clerk · Bulk Clerk · Dock Clerk · Mail Agent · Mail Caller · Counter Clerk

AI Task Exposure Score

Very High exposure

More exposed than 88% of 968 occupations · Rank #101 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

  • Sort incoming and outgoing mail, according to type and destination, by hand or by operating electronic mail-sorting and scanning devices.96
  • Provide customers with assistance in filing claims for mail theft, or lost or damaged mail.90
  • Keep money drawers in order, and record and balance daily transactions.80

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Transport mail from one work station to another.59
  • Feed mail into postage canceling devices or hand stamp mail to cancel postage.58
  • Obtain signatures from recipients of registered or special delivery mail.56

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 71 puts Postal Service Clerks in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 15 of 19 analyzed tasks lean automatable, 4 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

  • $62,130median wage
  • 73,720employed
  • 6,100annual openings
  • -3.5%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

Personalize my result — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

FAQ — Postal Service Clerks

What does a score of 71 mean for a Postal Service Clerks?
It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 71 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
The highest-exposure tasks are: Sort incoming and outgoing mail, according to type and destination, by hand or by operating electronic mail-sorting and scanning devices; Provide customers with assistance in filing claims for mail theft, or lost or damaged mail; Keep money drawers in order, and record and balance daily transactions. Exposure is scored per task from structured data, not generated by a language model.
Which parts of this job are most durable?
The current data release does not distinguish durable tasks for this role.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 19 of 19 tasks carry source-level provenance · methodology