COOKED
The window clerk's day is postage calculation, form completion (customs, certified mail, money orders), stamp and product sales, and answering rate and tracking questions — all of which self-service kiosks, online label printing, and automated tracking already handle, and USPS has been shifting volume that way for two decades. What holds is the physical side: handling and weighing parcels, staffing the counter, verifying ID for passport applications and PO box access, and sorting or distributing mail that machines misread. Union contract protections and federal staffing rules slow attrition more than any technical barrier does, and this occupation's headcount has been falling for years without AI's help.
Most of this decline happened after 2021 — it is not the pandemic dip.
Median pay $48,330 → $62,130 +2.8% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
-3.5% 74,200 → 71,600 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -3.5% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~6,100 openings a year on average, including replacing people who leave.
ClerkBulk ClerkDock ClerkMail AgentMail ClerkMail CallerStamp ClerkCity CarrierMail HandlerPostal ClerkWindow ClerkCounter ClerkMailing ClerkRural CarrierDelivery ClerkMailroom ClerkPackage SorterBulk Mail ClerkPackage HandlerMail Order ClerkPackage SwitcherMoney Order ClerkParcel Post ClerkPost Office Clerk
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier An 8 reflects that the rate lookups, label and customs form generation, money order issuance, and tracking answers that fill most of a window shift are already replicated by SSKs and Click-N-Ship, while what won't digitize — physically weighing and accepting a parcel, checking a passport applicant's ID against Form DS-11, and pulling mail machines rejected — is enough residual manual work to keep it out of the 0-6 band.
Some physical or field component An 11 fits standing at a counter for a full tour lifting parcels up to 70 lb, working scales and PVIs by hand, and casing or distributing mail — physical and on-site, but inside a climate-controlled retail lobby with fixed equipment, not the uncontrolled streets a city carrier deals with.
No licence, no signature requirement A 2 is right because nothing about the window job requires a state or federal licence: training is on-the-job, the postmaster and USPS as a corporate entity absorb accountability for missent registered mail or a mishandled passport packet, and a clerk's exposure is discipline under the collective bargaining agreement, not personal liability.
Executes defined procedures on defined inputs A 4 matches a job run out of the Domestic Mail Manual and IMM: mailability determinations, hazmat questioning, acceptable ID lists, and insurance limits are all written down as rules to apply, and anything genuinely ambiguous gets escalated to the supervisor or postmaster.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (8/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (2/20) is whether the law requires a licensed human to sign. Trust premium (6/20) is whether buyers specifically pay for a person. Judgment and accountability (4/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 12 of this occupation's 31 points (39%).
Embodiment (11/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
Postal Service Mail Carriers EXPOSED
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 47/100 — EXPOSED.
Postal clerks are already designated acceptance agents for passport applications under 22 CFR 51.21 — a State Department rule tightening in-person identity verification (e.g. requiring a designated federal agent to physically inspect primary ID and witness the oath, explicitly barring remote or kiosk-based acceptance) would convert an incidental duty into a statutorily-required human function. Same mechanism if REAL ID-era rules make USPS a designated identity-proofing point for federal digital credentials (a live GSA/Login.gov in-person proofing partnership already routes to post offices).
If hazmat/lithium-battery and international customs screening liability is pushed onto the accepting clerk — FAA and IATA enforcement plus USPS Publication 52 already make the acceptance employee the decision point on refusing a parcel — and USPS formalizes clerk sign-off on hazmat declarations rather than treating it as advisory, the counter role owns a consequential refuse/accept call under ambiguity.
Genuine two-tier structure: as postage calculation, tracking lookups and label printing move fully to kiosks and apps, the residual day is exception handling — damaged/undeliverable parcels, claims and insurance disputes, mail theft and identity-fraud reports, PO box access disputes, hold-mail errors. If USPS staffing shifts window clerks toward a consolidated exception/claims desk (visible in Retail Associate role consolidation), the remaining task mix is the judgment tier.
Expansion of in-person-only services performed at the counter — biometric enrollment, notary or remote-notary witnessing, banking-adjacent 'postal banking' pilots (USPS ran a check-cashing pilot in four locations in 2021; several bills including Sen. Gillibrand's Postal Banking Act would mandate it) — adds physically-present, cash-and-document handling tasks that kiosks cannot absorb.
The limit. Even with all levers, headcount decline is driven by volume shift to online and self-service, not by AI capability — a higher resistance score would describe a smaller, harder-to-automate remnant occupation rather than a stable one. No realistic route to a trust premium: buyers do not choose USPS windows for the human.
| New York-Newark-Jersey City, NY-NJ | 4,340 | $63,650 +2% |
| Los Angeles-Long Beach-Anaheim, CA | 2,160 | $63,670 +2% |
| Chicago-Naperville-Elgin, IL-IN | 1,430 | $63,670 +2% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,400 | $61,570 -1% |
| Boston-Cambridge-Newton, MA-NH | 1,270 | $62,610 +1% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 1,130 | $64,630 +4% |
| Dallas-Fort Worth-Arlington, TX | 1,120 | $65,600 +6% |
| Atlanta-Sandy Springs-Roswell, GA | 1,020 | $63,650 +2% |
| Asheville, NC | 80 | $69,700 +12% |
| Hattiesburg, MS | 40 | $69,700 +12% |
| Merced, CA | 40 | $69,160 +11% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 31. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.