US dataswitch to UK
Merchandise Displayers and Window Trimmers
dressing mannequins for displays, developing ideas or plans for merchandise displays or window decorations and assembling or setting up displays. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: changing or rotating window displays is work software can't reach.
What shifts is developing ideas or plans for merchandise displays or window decorations. This page scores what today's tools actually do, not headlines.
Your week, as this page understands it
Plan and erect commercial displays, such as those in windows and interiors of retail stores and at trade exhibitions. The job title says “merchandise displayers” or “window trimmers”: officially one job, two names. The real job is the part underneath: changing or rotating window displays. 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 merchandise displayers and window trimmers is not one task. It is 24 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is changing or rotating window displays, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 0%
- changing shape
- 21%
- staying human
- 79%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 17 out of 100 (13–22 allowing for uncertainty): minimal exposure, across 24 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 merchandise displayers and window trimmers 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.
- 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
0 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.
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.
Changing shape
5 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.
Planning commercial displays to entice and appeal to customers
The software now makes the first pass at commercial displays, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Plan commercial displays to entice and appeal to customers.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 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.
The rating behind it: Planning a display that pulls shoppers in is creative desk work AI can draft, but the space is specific.
The five ratings: output a model can produce 2/4 · 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.
Developing ideas or plans for merchandise displays or window decorations
The software now makes the first pass at ideas, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Develop ideas or plans for merchandise displays or window decorations.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 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.
The rating behind it: Coming up with display and window ideas is concept work AI generates quickly, though the best need real editing.
The five ratings: output a model can produce 2/4 · 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.
Selecting themes, lighting, colors or props
The software now makes the first pass at themes, lighting, colors or props, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Select themes, lighting, colors, or props to be used.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 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.
The rating behind it: Choosing themes, colors and lighting is a design decision AI can propose, though the room decides the final call.
The five ratings: output a model can produce 2/4 · 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.
Preparing sketches, floor plans or models of proposed displays
The software now makes the first pass at sketches, floor plans or models of proposed displays, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Prepare sketches, floor plans, or models of proposed displays.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 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.
The rating behind it: Sketches and floor plans of proposed displays are drawings AI can generate, though physical models still need making.
The five ratings: output a model can produce 2/4 · 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.
Using computers to produce signage
The software now makes the first pass at computers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Use computers to produce signage.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial 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: Producing signage on a computer is layout and text work that design software with AI now does well.
The five ratings: output a model can produce 3/4 · 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.
Staying human
19 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.
Changing or rotating window displays
This work happens in the physical world: window displays, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Change or rotate window displays, interior display areas, or signage to reflect changes in inventory or promotion.” (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: Changing over a window or signage means physically taking one display apart and building another.
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.
Placing prices or descriptive signs on backdrops
This work happens in the physical world: prices, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Place prices or descriptive signs on backdrops, fixtures, merchandise, or floor.” (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: Putting price cards and signs onto fixtures and merchandise is hands-on placement in the store.
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.
Consulting with store managers, buyers, sales associates, housekeeping staff or engineering staff to determine appropriate placement of displays or products
This work happens in the physical world: store managers, buyers, sales associates, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Consult with store managers, buyers, sales associates, housekeeping staff, or engineering staff to determine appropriate placement of displays or products.” (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: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Agreeing where products go depends on walking the floor with managers and buyers and reading the space together.
The five ratings: output a model can produce 1/4 · 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 2/4.
Assembling or setting up displays
This work happens in the physical world: displays, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Assemble or set up displays, furniture, or products in store space, using colors, lights, pictures, or other accessories to display the product.” (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: Building the display in the store with lights, props and product is physical construction.
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.
Arranging properties, furniture, merchandise, backdrops or other accessories, as shown in prepared sketches
This work happens in the physical world: properties, furniture, merchandise, backdrops or other accessories, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Arrange properties, furniture, merchandise, backdrops, or other accessories, as shown in prepared sketches.” (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: Arranging furniture, props and merchandise to match a sketch means moving heavy things around a store.
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.
Show the other 14 tasks
Storing, packing and maintaining inventory records of props, products or displaying items
staying humanThis work happens in the physical world: inventory records of props, products or displaying items, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Store, pack, and maintain inventory records of props, products, or display items.” (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: Keeping inventory records of props and products is straightforward record-keeping, though the packing and storing is physical.
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.
Collaborating with others to obtain products or other display items
staying humanThe ratings behind this row put this work well outside what today's tools can do on their own.
importance 4 · CoreSource: “Collaborate with others to obtain products or other display items.” (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: mistakes that are cheap to catch.
The rating behind it: Chasing down products and display items is coordination work software can largely handle by message and order.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Obtaining plans from display designers or displaying managers and discussing their implementation with clients or supervisors
staying humanThe value here is that a specific person handles plans and stands behind it. That is earned, not computed.
importance 3 · CoreSource: “Obtain plans from display designers or display managers and discuss their implementation with clients or supervisors.” (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 value is that a specific person does it.
The rating behind it: Taking a designer's plan and talking through how to build it depends on discussion with the client or supervisor.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Instructing sales staff in color coordination of clothing racks or counter displays
staying humanThis work happens in the physical world: sales staff, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Instruct sales staff in color coordination of clothing racks or counter displays.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 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: Teaching staff to coordinate colors on racks happens at the rack, showing rather than telling.
The five ratings: output a model can produce 2/4 · 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 2/4.
Consulting with advertising or sales staff to determine type of merchandise to be featured and time and place for each display
staying humanThe value here is that a specific person handles advertising and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Consult with advertising or sales staff to determine type of merchandise to be featured and time and place for each display.” (O*NET task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Settling what to feature and when depends on back-and-forth with advertising and sales colleagues who know the plan.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Attending training sessions or corporate planning meetings to obtain new ideas for product launches
staying humanThis work happens in the physical world: sessions, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Attend training sessions or corporate planning meetings to obtain new ideas for product launches.” (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: work that happens in the physical world.
The rating behind it: The point of attending launch meetings and training is being there to pick up ideas first-hand.
The five ratings: output a model can produce 1/4 · 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 2/4.
Supervising or training staff members on daily tasks
staying humanThis work happens in the physical world: staff members, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Supervise or train staff members on daily tasks, such as visual merchandising.” (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: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Showing staff how to merchandise well happens on the shop floor, watching and correcting as they work.
The five ratings: output a model can produce 1/4 · 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 2/4.
Taking photographs of displays or signage
staying humanThis work happens in the physical world: photographs of displays, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Take photographs of displays or signage.” (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: Photographing a finished display means being in the store with a camera.
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.
Constructing or assembling displays or displaying components from fabric
staying humanThis work happens in the physical world: displays, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Construct or assemble displays or display components from fabric, glass, paper, or plastic, using hand tools or woodworking power tools, according to specifications.” (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: Building display parts from fabric, glass or plastic with power tools is workshop 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.
Dressing mannequins for displays
staying humanThis work happens in the physical world: mannequins, in a real place. Software cannot follow it there.
importance 5 · SupplementalSource: “Dress mannequins for displays.” (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: Dressing a mannequin is physical handling of clothes and a figure.
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.
Cutting out designs on cardboard
staying humanThis work happens in the physical world: designs, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Cut out designs on cardboard, hardboard, or plywood, according to motif of event.” (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: Cutting shapes out of board or plywood is workshop handwork.
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.
Installing booths, exhibits, displays, carpets or drapes, as guided by floor plan of building or specifications
staying humanThis work happens in the physical world: booths, exhibits, displays, carpets or drapes, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Install booths, exhibits, displays, carpets, or drapes, as guided by floor plan of building or specifications.” (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: Installing booths, carpets and drapes to a floor plan is manual fit-out 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.
Installing decorations, such as flags, banners, festive lights or bunting on or in building street, exhibit hall or booth
staying humanThis work happens in the physical world: decorations, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Install decorations, such as flags, banners, festive lights, or bunting on or in building, street, exhibit hall, or booth.” (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: Hanging banners, lights and bunting on buildings or in halls is physical installation.
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.
Maintaining props, products or mannequins, inspecting them for imperfections, doing touch-ups
staying humanThis work happens in the physical world: props, products or mannequins, inspecting them, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Maintain props, products, or mannequins, inspecting them for imperfections, doing touch-ups, cleaning up after customers, or applying preservative coatings 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: work that happens in the physical world.
The rating behind it: Touching up mannequins and props, and tidying after customers, is physical upkeep in the store.
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.
What this job pays, and how many people do it
- Median pay
- $39,390a 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
- 165,220in 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 the same call made over and over on commercial displays, where the right answer is already known. The rows above are exactly that shape: developing ideas or plans for merchandise displays or window decorations and planning commercial displays to entice and appeal to customers. What it cannot do is be there in the room, and that is still where window displays 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: changing or rotating window displays is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 0% of this job's task weight sits in rows the software is already learning, 21% in rows that change shape rather than disappear, and 79% in rows it is nowhere near. That is the position, measured across 24 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. Developing ideas or plans for merchandise displays or window decorations 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 commercial displays, 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 window displays 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 planning commercial displays to entice and appeal to customers. 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 merchandise displayers and window trimmers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was set and exhibit designers: only about 5% of its durable work is work you already do and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 17/100 here, with only 0% of the task list in the top band, and “change or rotate window displays, interior display areas, or signage to reflect…” 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.
Set and Exhibit Designers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already select themes, lighting, colors, or props to be used, and their equivalent is to select set props, such as furniture, pictures, lamps, and rugs. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 10,630 of those jobs against 165,220 of yours (OEWS May 2025), 6% as many seats.
First-Line Supervisors of Non-Retail Sales Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already consult with advertising or sales staff to determine type of merchandise to be…, and their equivalent is to examine merchandise to ensure correct pricing and display, and that it functions as…. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. The pay gap is the market pricing a barrier: $87,520 against your $39,390 is 2.22× (OEWS May 2025 (both)), and you would be crossing it holding about 4% of their durable work. A gap that size with an overlap that small is a wish, not a route.
First-Line Supervisors of Retail Sales Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already consult with advertising or sales staff to determine type of merchandise to be…, and their equivalent is to examine merchandise to ensure that it is correctly priced and displayed and that…. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step.
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: 0% of its task weight, across 24 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 changing or rotating window displays 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 Visual merchandisers and related occupations 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
The other groups this work is counted across:
In UK official statistics this job is counted as Visual merchandisers and related occupations and Interior designers. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.
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.
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Why there is no community here
Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.
So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.
Noted, and thank you. We’ll email you if a Space for merchandise displayers / window trimmers launches. Nothing else.
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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 Merchandise Displayers and Window Trimmers?
- Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Merchandise Displayers and Window Trimmers (United States, SOC 27-1026), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 17 out of 100 (range 13–22, 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 “Merchandise Displayers and Window Trimmers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Develop ideas or plans for merchandise displays or window decorations” (58/100, partial); “Use computers to produce signage” (56/100, partial); “Plan commercial displays to entice and appeal to customers” (43/100, partial). 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 “Merchandise Displayers and Window Trimmers” stay human?
- About 79% 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: “Assemble or set up displays, furniture, or products in store space, using colors, lights, pictures, or other accessories to display the product” (0/100, minimal); “Maintain props, products, or mannequins, inspecting them for imperfections, doing touch-ups, cleaning up after customers, or applying preservative coatings a…” (0/100, minimal); “Install decorations, such as flags, banners, festive lights, or bunting on or in building, street, exhibit hall, or booth” (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 “Merchandise Displayers and Window Trimmers” do about AI?
- Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 79% 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 Merchandise Displayers and Window Trimmers 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 24 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.
- 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.