EXPOSED
The creative front end of this job — mood boards, planogram layouts, seasonal display concepts, color and theme direction — is exactly what image generators and retail analytics tools now produce cheaply, and corporate directives already flatten much of that decision-making anyway. What survives is the hands: dressing mannequins, hanging signage on a ladder, cutting and fitting props to an odd-shaped window, fixing a collapsed fixture at 6am before doors open. The modal worker is a store-level or field installer executing a corporate lookbook, not a flagship window designer, so displacement pressure lands on concept work while the physical install persists.
Dipped in 2020, then grew past where it started.
Median pay $29,460 → $39,390 +7.0% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+3.2%
Percentage only. The projection counts a different population from the 165,220 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +3.2% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~20,800 openings a year on average, including replacing people who leave.
DraperTrimmerDecoratorMerchandiserModel DresserWindow DraperDisplay ArtistWindow DresserWindow TrimmerDisplay TrimmerStock AssociateStore AssociateDisplay DesignerShowcase TrimmerWindow DecoratorDisplay AssociateDisplay DecoratorPricing AssociateVisual SpecialistDisplay SpecialistStore MerchandiserDisplay CoordinatorFreelance DisplayerMannequin Decorator
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Concept generation, lookbook drafting, and planogram compliance checks are already being handed to generative tools and shelf-analytics software, but the residual — bolting brackets into a 1930s storefront, steaming wrinkles out of a garment on a mannequin, improvising when the prop shipment arrives short — has no digital substitute, which lands this at 12 rather than the 16 a pure fabrication trade would earn.
Hands-on in uncontrolled environments The work is ladders, staple guns, box cutters, mannequin torsos, and cramped window bays in stores that vary building to building, with night and pre-open shifts and no fixed workstation; it sits at 15 rather than higher only because the environment is retail interior rather than outdoors, live traffic, or structurally hazardous.
No licence, no signature requirement There is no licence, no certification body, and no signature on anything — a display that fails inspection or a sign that falls is the retailer's problem, not the trimmer's, so the score is effectively floor-level at 1.
Meaningful discretion Discretion exists in the gaps of the directive — deciding which SKUs actually fit the fixture, resequencing an install when stock is missing, judging sightlines from the sidewalk — but the planogram and brand standards set the frame and nobody is betting revenue on a single call, which puts it at 8 rather than into the teens.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (12/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (1/20) is whether the law requires a licensed human to sign. Trust premium (6/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 15 of this occupation's 42 points (36%).
Embodiment (15/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
Craft Artists EXPOSED
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 52/100, still EXPOSED.
Task-mix shift: this occupation genuinely has two tiers. If corporate concepting and planogram generation are absorbed by image tools and retail analytics, the remaining role is the on-site adaptation tier — reconciling a lookbook against actual fixture inventory, ceiling heights, sightlines and shrink/ADA egress constraints, and improvising when shipped props don't fit. Watch for job postings retitled toward 'visual field specialist' or 'install lead' with concept duties removed.
Install work stays irreducibly manual as long as retail interiors remain non-standard: odd window geometry, live sales floors during business hours, ladder and rigging work above 6ft, and custom prop fabrication. A visible reinforcement would be OSHA/insurer enforcement of fall-protection and ladder rules that keeps a trained human on the lift rather than a robot arm, plus retail landlords' mall rules requiring overnight install windows with a supervising human on site.
If ADA egress/aisle-width compliance and fire-marshal signage clearance for displays are assigned in writing to the visual merchandiser rather than to store operations — as some large chains do after ADA aisle-width settlements and local fire code citations — the installer owns a consequential call under ambiguity at each site.
Narrow route only, and it does not reach the modal worker: flagship and luxury windows (department store holiday windows, brand ateliers) where the hand-made, human-authored display is the point, and craft-guild or named-designer credit is part of the marketing. This supports a small tier of high-end designers and prop fabricators, not the field installer executing a corporate lookbook.
The limit. No realistic route to a liability shield — there is no licensure, no board, no signature requirement for display work, and none is being proposed anywhere. Trust premium is capped low because the buyer is a corporate retailer buying compliance with a lookbook, not a human's authorship; the flagship exception covers a few thousand workers at most. The durable floor here is physical install work, which is a wage-suppressed floor rather than a protected one.
| New York-Newark-Jersey City, NY-NJ | 8,710 | $45,980 +17% |
| Los Angeles-Long Beach-Anaheim, CA | 7,430 | $48,900 +24% |
| Dallas-Fort Worth-Arlington, TX | 4,600 | $38,630 -2% |
| Atlanta-Sandy Springs-Roswell, GA | 4,340 | $37,440 -5% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 3,070 | $37,650 -4% |
| Houston-Pasadena-The Woodlands, TX | 2,790 | $37,700 -4% |
| Chicago-Naperville-Elgin, IL-IN | 2,710 | $40,250 +2% |
| Denver-Aurora-Centennial, CO | 2,380 | $44,970 +14% |
| Vallejo, CA | 120 | $58,170 +48% |
| San Francisco-Oakland-Fremont, CA | 1,290 | $55,960 +42% |
| San Jose-Sunnyvale-Santa Clara, CA | 570 | $54,530 +38% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 42. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.