Will AI replace Mail Clerks and Mail Machine Operators, Except Postal Service?

Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for Mail Clerks and Mail Machine Operators, Except Postal Service (United States, SOC 43-9051), 8% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 14 out of 100 (range 11–19, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

What should someone working in “Mail Clerks and Mail Machine Operators, Except Postal Service” do about AI?

Start from the ledger rather than the headline: 8% of this job's weighted core work is exposed, and roughly 88% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

US dataswitch to UK

Mail Clerks and Mail Machine Operators, Except Postal Service

wrapping packages or bundles, affixing postage to packages or letters and operating computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: removing containers of sorted mail or parcels and transferring them to designated areas according to established procedures is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 8%
changing shape: 4%
staying human: 88%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 14 out of 100 (11–19 allowing for uncertainty): minimal exposure, across 26 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for mail clerks and mail machine operators, except postal service is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

What shifts is answering inquiries regarding shipping or mailing policies: the overhead at the edges, not the middle you trained for.

Your week, as this page understands it

Prepare incoming and outgoing mail for distribution. Time-stamp, open, read, sort, and route incoming mail; and address, seal, stamp, fold, stuff, and affix postage to outgoing mail or packages. Duties may also include keeping necessary records and completed forms. The job title says “mail clerks”, “mail machine operators” or “except postal service”: officially one job, several names. The real job is the part underneath: removing containers of sorted mail or parcels and transferring them to designated areas according to established procedures. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But mail clerks and mail machine operators, except postal service is not one task. It is 26 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is removing containers of sorted mail or parcels and transferring them to designated areas according to established procedures, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 8%
changing shape: 4%
staying human: 88%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

3 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Answering inquiries regarding shipping or mailing policies
This is reading one thing and writing another: inquiries in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Answer inquiries regarding shipping or mailing policies.” (O*NET task statement)
How this row was scored
Exposure score: 85 out of 100 (81–89 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Postal and courier rules are published in detail, so answering questions about them is well suited to automated help.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Reading production orders to determine types and sizes of items scheduled for printing and mailing
This is reading one thing and writing another: production orders in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Read production orders to determine types and sizes of items scheduled for printing and mailing.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (86–100 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling item types and sizes out of a production order is straightforward document reading that software does reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Contacting delivery or courier services to arrange delivery of letters and parcels
This is reading one thing and writing another: delivery in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Contact delivery or courier services to arrange delivery of letters and parcels.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking a courier collection is a routine transaction that software already arranges without a person involved.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Changing shape

1 task

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Operating computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes
The software now makes the first pass at computer-controlled keyboards, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Operate computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes.” (O*NET task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Reading addresses and routing items is already largely automated, though the operator sits at the sorting machine.
The five ratings: output a model can produce 4/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

22 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Removing containers of sorted mail or parcels and transferring them to designated areas according to established procedures
This work happens in the physical world: containers of sorted mail, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Remove containers of sorted mail or parcels and transfer them to designated areas according to established procedures.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving containers of sorted mail to the right area is physical handling.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Sorting and routing incoming mail
This work happens in the physical world: mail, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Sort and route incoming mail, and collect outgoing mail, using carts as necessary.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Sorting and carting mail around a building is physical work from start to finish.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Wrapping packages or bundles
This work happens in the physical world: packages, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Wrap packages or bundles by hand, or by using tying machines.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Wrapping and tying packages is done with hands and a machine at a bench.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Accepting and checking containers of mail or parcels from large volume mailers
This work happens in the physical world: containers of mail, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Accepting bulk mail containers means receiving, handling and physically checking what has been delivered.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Verifying that items are addressed correctly
This work happens in the physical world: items, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Verify that items are addressed correctly, marked with the proper postage, and in suitable condition for processing.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: The address and postage check is simple, but judging condition means having the item in your hands.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Affixing postage to packages or letters
This work happens in the physical world: postage, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Affix postage to packages or letters by hand, or stamp materials, using postage meters.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Sticking on stamps or running items through a postage meter is hands-on work at the machine.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Show the other 16 tasks

Determining manner in which mail is to be sent
staying human
This work happens in the physical world: manner, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Determine manner in which mail is to be sent, and prepare it for delivery to mailing facilities.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Choosing the cheapest suitable service is a documented lookup, but actually preparing the mail is physical work.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Weighing packages or letters to determine postage
staying human
This work happens in the physical world: packages, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Weigh packages or letters to determine postage needed, using weighing scales and rate charts.” (O*NET task statement)
How this row was scored
Exposure score: 16 out of 100 (9–23 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Postage rates are published and easy to apply, but the item still has to be placed on a scale.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Mailing merchandise samples or promotional literature in response to requests
staying human
This work happens in the physical world: merchandise samples, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Mail merchandise samples or promotional literature in response to requests.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Handling the request is easy to automate, but picking, packing and posting the sample is physical work.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Selling mail products and accept payment for products and mailing charges
staying human
This work happens in the physical world: mail products, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Sell mail products, and accept payment for products and mailing charges.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Selling stamps and taking payment happens across a counter, though self-service machines already cover part of it.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Starting machines that automatically feed plates
staying human
This work happens in the physical world: machines, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Start machines that automatically feed plates, stencils, or tapes through mechanisms, and observe machine operations to detect any malfunctions.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Starting a machine and watching for malfunctions means being at the machine while it runs.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting mail machine output for defects and determining how to eliminate causes of any defects
staying human
This work happens in the physical world: mail machine output, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Inspect mail machine output for defects and determine how to eliminate causes of any defects.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Spotting and fixing machine output faults means standing at the machine and looking at what it produced.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Sealing or opening envelopes, by hand or by using machines
staying human
This work happens in the physical world: envelopes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Seal or open envelopes, by hand or by using machines.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Sealing and opening envelopes is hands-on work at a bench or machine.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Placing incoming or outgoing letters or packages into sacks or bins based on destination or type
staying human
This work happens in the physical world: letters, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Place incoming or outgoing letters or packages into sacks or bins based on destination or type, and place identifying tags on sacks or bins.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Bagging and tagging mail by destination is physical sorting work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Clearing jams in sortation equipment
staying human
This work happens in the physical world: jams, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Clear jams in sortation equipment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Clearing a jam means reaching into the machine and freeing the blockage.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Lifting and unloading containers of mail or parcels onto equipment for transportation to sortation stations
staying human
This work happens in the physical world: containers of mail, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Lift and unload containers of mail or parcels onto equipment for transportation to sortation stations.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lifting and unloading mail containers onto equipment is heavy physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Folding letters or circulars and insert them in envelopes
staying human
This work happens in the physical world: letters, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Fold letters or circulars and insert them in envelopes.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Folding letters and stuffing envelopes is manual work, whether by hand or feeding a machine.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Removing from machines printed materials
staying human
This work happens in the physical world: machines printed materials, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Remove from machines printed materials, such as labeled articles, postmarked envelopes or tape, and folded sheets.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Taking printed material off a machine is physical handling.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Adding ink, fill paste reservoirs and change machine ribbons
staying human
This work happens in the physical world: ink, fill paste reservoirs and change machine ribbons, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Add ink, fill paste reservoirs, and change machine ribbons when necessary.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Refilling ink and paste and changing ribbons is hands-on machine maintenance.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Stamping dates and times of receipt of incoming mail
staying human
This work happens in the physical world: dates, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Stamp dates and times of receipt of incoming mail.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Date-stamping incoming mail is a physical action performed on each item.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Adjusting guides, rollers, loose card inserters, weighing machines and tying arms, using rules and hand tools
staying human
This work happens in the physical world: guides, rollers, loose card inserters, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Adjust guides, rollers, loose card inserters, weighing machines, and tying arms, using rules and hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Adjusting rollers, guides and tying arms with hand tools is done at the machine.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Releasing packages or letters to customers upon presentation of written notices or other identification
staying human
This work happens in the physical world: packages, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Release packages or letters to customers upon presentation of written notices or other identification.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Handing a package to someone at a counter after checking their identification is done in person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $39,280a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 55,230in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: production orders in, a record out. The rows above are exactly that shape: answering inquiries regarding shipping or mailing policies and reading production orders to determine types and sizes of items scheduled for printing and mailing. What it cannot do is be there in the room, and that is still where containers of sorted mail get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Start with what does not change: removing containers of sorted mail or parcels and transferring them to designated areas according to established procedures is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 8% of this job's task weight sits in rows the software is already learning, 4% in rows that change shape rather than disappear, and 88% in rows it is nowhere near. That is the position, measured across 26 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Answering inquiries regarding shipping or mailing policies is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to production orders, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding: a straight answer about what is actually being rolled out, and when
How long it takes: ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether containers of sorted mail are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near operating computer-controlled keyboards or voice recognition equipment to direct items according to established routing schemes. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to mail clerks and mail machine operators, except postal service (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was postal service clerks: only about 14% of its durable work is work you already do. And on the numbers you do not need one. This job scores 14/100 here, with only 8% of the task list in the top band, and “remove containers of sorted mail or parcels and transfer them to designated…” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Postal Service Clerks
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already sort and route incoming mail, and collect outgoing mail, using carts as necessary, and their equivalent is to sort incoming and outgoing mail, according to type and destination, by hand or…. Across both published task lists that is about 14% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 14% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Postal Service Mail Sorters, Processors, and Processing Machine Operators
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already remove containers of sorted mail or parcels and transfer them to designated areas…, and their equivalent is to bundle, label, and route sorted mail to designated areas, depending on destinations and…. Across both published task lists that is about 13% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 13% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Billing and Posting Clerks
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already affix postage to packages or letters by hand, or stamp materials, using postage…, and their equivalent is to weigh envelopes containing statements to determine correct postage and affix postage, using stamps…. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. I will not move you off one melting floe onto another: 70% of its own task list already scores in the top exposure band (64/100 in this release), so the same software is eating it.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 8% of its task weight, across 26 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like removing containers of sorted mail or parcels and transferring them to designated areas according to established procedures arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Postal workers, mail sorters and messengers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

In UK official statistics this job is counted as Postal workers, mail sorters and messengers. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for mail clerks / mail machine operators / except postal service, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 8% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for mail clerks / mail machine operators / except postal service. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for mail clerks / mail machine operators / except postal service launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for mail clerks / mail machine operators / except postal service yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for mail clerks / mail machine operators / except postal service existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for mail clerks / mail machine operators / except postal service launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Mail Clerks and Mail Machine Operators, Except Postal Service?: Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for Mail Clerks and Mail Machine Operators, Except Postal Service (United States, SOC 43-9051), 8% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 14 out of 100 (range 11–19, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Mail Clerks and Mail Machine Operators, Except Postal Service” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Read production orders to determine types and sizes of items scheduled for printing and mailing” (93/100, very high); “Answer inquiries regarding shipping or mailing policies” (85/100, very high); “Contact delivery or courier services to arrange delivery of letters and parcels” (79/100, high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Mail Clerks and Mail Machine Operators, Except Postal Service” stay human?: About 88% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Release packages or letters to customers upon presentation of written notices or other identification” (0/100, minimal); “Adjust guides, rollers, loose card inserters, weighing machines, and tying arms, using rules and hand tools” (0/100, minimal); “Stamp dates and times of receipt of incoming mail” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Mail Clerks and Mail Machine Operators, Except Postal Service” do about AI?: Start from the ledger rather than the headline: 8% of this job's weighted core work is exposed, and roughly 88% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Mail Clerks and Mail Machine Operators, Except Postal Service calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 26 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.