COOKED
The job is sorting, metering, logging, and hand-delivering physical mail and packages inside a controlled office or warehouse — the physical handling is real, but the volume itself is shrinking as billing, statements, and correspondence go digital. Address lookup, routing decisions, tracking-log data entry, and shipping-label generation are already software; high-volume sorting is already machinery. What remains is a body walking a route in a building, which is cheap to keep but easy to fold into facilities or receptionist roles.
Part 2020 shock, part continued decline in the years since.
Median pay $30,960 → $39,280 +1.5% 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
-6.6%
Percentage only. The projection counts a different population from the 55,230 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -6.6% 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.
~6,900 openings a year on average, including replacing people who leave.
MailerMail ClerkMail CallerMail CensorMail OpenerMail ReaderMail SorterMail HandlerMail WeigherPostal ClerkExpress ClerkMailing ClerkTube OperatorMail AssociateMail ProcessorMailing JoggerMailroom ClerkInkjet OperatorInsert OperatorMail Room ClerkMail TechnicianPackaging ClerkMail DistributorTrust Mail Clerk
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Feeding an inserter, clearing a jam, breaking down a pallet of inbound parcels and matching them to a name still needs hands, but the parts that used to take skill — knowing the postal rate table, looking up a suite number, keying the certified-mail log — are now a scale, a validation API, and a barcode scan, which is why this sits at the bottom of the mixed band rather than the middle.
Some physical or field component You are on your feet all shift lifting 40-lb parcel bins, pushing a cart across floors and into freight elevators, and reaching into a folder-inserter to pull a misfeed — real physical work, but all of it inside a heated mailroom on flat known floors with fixed drop points, not a truck route in February, which caps it well below the field-work range.
No licence, no signature requirement There is no licence, no exam, no continuing-education requirement; a company can put someone on the mail machine after a morning of training, and nothing you handle carries your personal legal exposure — even a mis-metered permit-imprint batch is the employer's account problem.
Executes defined procedures on defined inputs The decisions are 'no addressee found — return to sender or route to HR,' 'this is USPS not FedEx,' and 'this envelope is leaking, flag it' — bounded calls against a standing procedure, with the genuinely ambiguous items (suspicious packages, legal service, unclaimed mail) handed up to security or the office manager.
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 (7/20 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 (1/20) is whether the law requires a licensed human to sign. Trust premium (3/20) is whether buyers specifically pay for a person. Judgment and accountability (3/20) 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 7 of this occupation's 25 points (28%).
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.
Couriers and Messengers EXPOSED
Stockers and Order Fillers 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 35/100 — EXPOSED.
Chain-of-custody rules that name a specific trained handler. Concretely: legal-services mailrooms operating under court e-filing/service-of-process deadlines, or HIPAA-covered entities requiring a documented person to log receipt of PHI mail, or CFR-mandated screening after a threat incident (the 2001 anthrax response created exactly this kind of designated-handler requirement at federal facilities). A DHS/USPIS-driven mail-screening standard for large private facilities requiring a certified screener on site would be the checkable event.
Mailroom work concentrated into the parts robots handle worst: opening and inspecting irregular parcels, retrieving items from cluttered private offices, walking multi-tenant buildings with badge doors, elevators and locked suites. If the routine cart-push route is replaced by autonomous delivery robots (already piloted in hospitals and large campuses via Aethon/Relay), what remains is the exception handling in unpredictable interior space.
Suspicious-package and hazardous-material triage becoming a named role rather than a task: the person who decides whether an unmarked parcel goes to the X-ray, the loading dock, or 911. Also custody decisions on subpoenas, certified mail, and controlled-substance samples where a wrong routing has legal consequence. Rises if employers formalize a Mail Security Coordinator designation with training and sign-off, as some universities and government contractors already do.
The limit. Even with all three levers, this tops out around 40. The binding constraint is not capability, it is volume: physical mail per office worker keeps falling, so the headcount shrinks regardless of how defensible any single role becomes. The likely path is a small number of upgraded mail-security/records-custody positions absorbing the defensible work, with the rest of the 55,000 folded into facilities and reception. No route to a trust premium exists — no buyer pays extra for a human to carry an envelope down a hall.
| New York-Newark-Jersey City, NY-NJ | 5,150 | $44,220 +13% |
| Chicago-Naperville-Elgin, IL-IN | 2,380 | $38,570 -2% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,820 | $38,520 -2% |
| Los Angeles-Long Beach-Anaheim, CA | 1,800 | $43,540 +11% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 1,540 | $41,760 +6% |
| Atlanta-Sandy Springs-Roswell, GA | 1,360 | $38,100 -3% |
| Dallas-Fort Worth-Arlington, TX | 1,230 | $38,630 -2% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 1,020 | — |
| Springfield, MA | 60 | $51,490 +31% |
| Trenton-Princeton, NJ | 170 | $49,520 +26% |
| Seattle-Tacoma-Bellevue, WA | 910 | $49,270 +25% |
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 25. 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.