US dataswitch to UK
Cashiers
receiving payment by cash, check, credit cards, vouchers or automatic debits, posting charges against guests' or patients' accounts and computing and recording totals of transactions. If that's your week, this page is about your job.
The honest answer
AI is already taking a real slice of the routine work here: answering incoming phone calls. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, receiving payment by cash, check, credit cards, vouchers or automatic debits, stays yours. The tools change hands, the accountability doesn't.
Your week, as this page understands it
Receive and disburse money in establishments other than financial institutions. May use electronic scanners, cash registers, or related equipment. May process credit or debit card transactions and validate checks. The job title says “cashiers”. The real job is the part underneath: receiving payment by cash, check, credit cards, vouchers or automatic debits. 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 cashiers is not one task. It is 28 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is receiving payment by cash, check, credit cards, vouchers or automatic debits, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 19%
- changing shape
- 0%
- staying human
- 81%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 20 out of 100 (17–26 allowing for uncertainty): low exposure, across 28 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 cashiers 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 2026-08-04. 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.
- 2 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
6 tasksTasks 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 incoming phone calls
This is reading one thing and writing another: phone calls in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Answer incoming phone calls.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 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: Taking phone calls and giving callers information is voice work current systems handle without anyone being on site.
The five ratings: output a model can produce 3/4 · 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.
Computing and recording totals of transactions
This is reading one thing and writing another: totals of transactions in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Compute and record totals of transactions.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 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: Working out and recording transaction totals is arithmetic that registers and software already do reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calculating total payments received during a time period
This is reading one thing and writing another: total payments received during a time period in, a record out. That is the shape today's tools are built for.
importance 5 · SupplementalSource: “Calculate total payments received during a time period, and reconcile this with total sales.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 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: Adding up payments received and matching them against sales is straightforward number work done from records.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Keeping periodic balance sheets of amounts and numbers of transactions
This is reading one thing and writing another: periodic balance sheets of amounts in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Keep periodic balance sheets of amounts and numbers of transactions.” (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: Keeping running sheets of transaction amounts and counts is spreadsheet work built from figures already stored in the system.
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.
Posting charges against guests' or patients' accounts
This is reading one thing and writing another: charges against guests' in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Post charges against guests' or patients' accounts.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 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: Posting charges to a guest's or patient's account is straightforward data entry into an existing system.
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.
Changing shape
0 tasksTasks 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.
Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.
Staying human
22 tasksTasks 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.
Receiving payment by cash, check, credit cards, vouchers or automatic debits
This work happens in the physical world: payment, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Receive payment by cash, check, credit cards, vouchers, or automatic debits.” (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: Taking cash or cards from a shopper standing at the register needs a person physically at the counter.
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 1/4 · how much data exists 3/4.
Issuing receipts, refunds, credits or change due to customers
This work happens in the physical world: receipts, refunds, credits or change due, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Issue receipts, refunds, credits, or change due to customers.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 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: Handing back change, receipts or refunded cash happens face to face at the register, so someone has to be there.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Assisting customers by providing information and resolving their complaints
This work happens in the physical world: customers, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Assist customers by providing information and resolving their complaints.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Software answers the information side well, but the shopper is standing there and wants a person to sort it out.
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 2/4 · how much data exists 3/4.
Answering customers' questions and providing information on procedures or policies
This work happens in the physical world: customers' questions, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Answer customers' questions, and provide information on procedures or policies.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 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: Answering questions about store policies is information software handles well, though the customer is standing in front of you.
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 1/4 · how much data exists 3/4.
Greeting customers entering establishments
This work happens in the physical world: customers entering establishments, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Greet customers entering establishments.” (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 value is that a specific person does it.
The rating behind it: Greeting people as they walk into the store only works if someone is actually standing there.
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 2/4 · how much data exists 1/4.
Show the other 18 tasks
Compiling and maintaining non-monetary reports and records
shifting to AIThis is reading one thing and writing another: non-monetary reports in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Compile and maintain non-monetary reports and records.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): 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: Compiling and keeping non-money records is document work software drafts and maintains from information already held.
The five ratings: output a model can produce 3/4 · 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.
Establishing or identifying prices of goods
staying humanThis work happens in the physical world: prices of goods, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Establish or identify prices of goods, services, or admission, and tabulate bills, using calculators, cash registers, or optical price scanners.” (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: Pricing and totaling a bill is arithmetic software already does, but scanning the goods still needs hands at the register.
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.
Processing merchandise returns and exchanges
staying humanThis work happens in the physical world: merchandise returns, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Process merchandise returns and exchanges.” (O*NET task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 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: Refunds are recorded on screen, but taking the item back and checking it happens in person at the counter.
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 1/4 · how much data exists 3/4.
Requesting information or assistance, using paging systems
staying humanThis work happens in the physical world: information, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Request information or assistance, using paging systems.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Calling for help over the store's paging system means being on site with the microphone.
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 1/4 · how much data exists 2/4.
Helping customers find the location of products
staying humanThis work happens in the physical world: customers find the location of products, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Help customers find the location of products.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (7–15 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Pointing or walking a shopper to the right aisle means being in the store with them.
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 1/4 · how much data exists 2/4.
Monitoring checkout stations to ensure they have adequate cash available and are staffed appropriately
staying humanThis work happens in the physical world: checkout stations, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Monitor checkout stations to ensure they have adequate cash available and are staffed appropriately.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Keeping an eye on registers and staffing levels means walking the front of the store and watching what happens.
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 2/4.
Supervising others and providing on-the-job training
staying humanThis work happens in the physical world: this work, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Supervise others and provide on-the-job training.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Showing a new colleague how the job is done happens side by side on the store floor.
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 3/4 · how much data exists 2/4.
Counting money in cash drawers at the beginning of shifts to ensure that amounts are correct and that there is adequate change
staying humanThis work happens in the physical world: money, in a real place. Software cannot follow it there.
importance 5 · SupplementalSource: “Count money in cash drawers at the beginning of shifts to ensure that amounts are correct and that there is adequate change.” (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: Counting the bills and coins in a register drawer is hands-on work that happens at the register.
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.
Issuing trading stamps and redeem food stamps and coupons
staying humanThis work happens in the physical world: stamps, in a real place. Software cannot follow it there.
importance 5 · SupplementalSource: “Issue trading stamps, and redeem food stamps and coupons.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Handing over stamps and taking paper coupons or food stamps is physical counter work.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Cashing checks for customers
staying humanThis work happens in the physical world: checks, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Cash checks for customers.” (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: Cashing a check means handling paper and counting out cash at the counter.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Weighing items sold by weight to determine prices
staying humanThis work happens in the physical world: items sold, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Weigh items sold by weight to determine prices.” (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: Putting goods on a scale to price them is a hands-on step at the register.
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.
Selling tickets and other items to customers
staying humanThis work happens in the physical world: tickets, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Sell tickets and other items to customers.” (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: Selling tickets or items over a counter means being there to hand them over and take payment.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Bagging box, wrap or gift-wrap merchandise and preparing packages for shipment
staying humanThis work happens in the physical world: box, wrap or gift-wrap merchandise and preparing packages, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Bag, box, wrap, or gift-wrap merchandise, and prepare packages for shipment.” (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, boxing or gift-wrapping goods is hands-on work with the items themselves.
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, counting and wrapping currency and coins
staying humanThis work happens in the physical world: currency, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Sort, count, and wrap currency and coins.” (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: Sorting, counting and wrapping bills and coins is physical handling of money.
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.
Offering customers carry-out service at the completion of transactions
staying humanThis work happens in the physical world: customers carry-out service, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Offer customers carry-out service at the completion of transactions.” (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: Carrying a customer's shopping out to their car is physical help only a person can give.
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 1/4 · how much data exists 1/4.
Maintaining clean and orderly checkout areas
staying humanThis work happens in the physical world: clean, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Maintain clean and orderly checkout areas, and complete other general cleaning duties, such as mopping floors and emptying trash cans.” (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: Mopping floors, emptying trash cans and tidying the checkout is physical cleaning 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 1/4.
Assisting with duties in other areas of the store
staying humanThis work happens in the physical world: duties, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Assist with duties in other areas of the store, such as monitoring fitting rooms or bagging and carrying out customers' items.” (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: Covering fitting rooms or bagging and carrying items means being on the store floor doing it.
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 1/4.
Stocking shelves, sort and reshelve returned items and marking prices on items and shelves
staying humanThis work happens in the physical world: shelves, sort and reshelve returned items, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Stock shelves, sort and reshelve returned items, and mark prices on items and shelves.” (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: Filling shelves, reshelving returns and putting price labels on goods is hands-on work with the stock.
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
- $32,880a 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
- 3,089,410in 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: phone calls in, a record out. The rows above are exactly that shape: answering incoming phone calls and computing and recording totals of transactions. What it cannot do is be there in the room, and that is still where payment gets 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: receiving payment by cash, check, credit cards, vouchers or automatic debits is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 19% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 81% in rows it is nowhere near. That is the position, measured across 28 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 incoming phone calls 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 phone calls, 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 receipts, refunds, credits or change due 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 receiving payment by cash, check, credit cards, vouchers or automatic debits. 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 cashiers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was retail salespersons: only about 12% of its durable work is work you already do. And on the numbers you do not need one. This job scores 20/100 here, with only 19% of the task list in the top band, and “receive payment by cash, check, credit cards, vouchers, or automatic debits” 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.
Retail Salespersons
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already greet customers entering establishments, and their equivalent is to greet customers and ascertain what each customer wants or needs. 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.
Pharmacy Aides
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already greet customers entering establishments, and their equivalent is to greet customers and help them locate merchandise. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 39,530 of those jobs against 3,089,410 of yours (OEWS May 2025), 1% as many seats.
Tellers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already sort, count, and wrap currency and coins, and their equivalent is to count currency, coins, and checks received, by hand or using currency-counting machine, to…. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 329,480 of those jobs against 3,089,410 of yours (OEWS May 2025), 11% as many seats.
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: 19% of its task weight, across 28 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 receiving payment by cash, check, credit cards, vouchers or automatic debits 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 Retail cashiers and check-out operators 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 Retail cashiers and check-out operators. 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:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for cashiers, 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 19% of the work on this page is already inside what they can do.
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 cashiers. 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 cashiers 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 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 Cashiers?
- Not as a job, but it is already doing parts of the work. Across the 28 official task statements scored for Cashiers (United States, SOC 41-2011), 19% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 20 out of 100 (range 17–26, band: low). 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 “Cashiers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Keep periodic balance sheets of amounts and numbers of transactions” (93/100, very high); “Post charges against guests' or patients' accounts” (93/100, very high); “Compile and maintain non-monetary reports and records” (75/100, 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 “Cashiers” stay human?
- About 81% 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: “Stock shelves, sort and reshelve returned items, and mark prices on items and shelves” (0/100, minimal); “Assist with duties in other areas of the store, such as monitoring fitting rooms or bagging and carrying out customers' items” (0/100, minimal); “Maintain clean and orderly checkout areas, and complete other general cleaning duties, such as mopping floors and emptying trash cans” (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 “Cashiers” do about AI?
- Start from the ledger rather than the headline: 19% of this job's weighted core work is exposed, and roughly 81% 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 Cashiers 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 28 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.
- 2 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 2026-08-04.
- 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.
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}
}Data as of release 2026-q4.1, published . 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.