Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Prepare sketches, floor plans, or models of proposed displays. · 0.3%
Merchandise Displayers and Window Trimmers
Occupation · SOC 27-1026.00
Plan and erect commercial displays, such as those in windows and interiors of retail stores and at trade exhibitions.
Also called: Display Associate · Merchandiser · Visual Merchandiser (VM) · Visual Merchandising Specialist · Decorator · Display Decorator · Display Specialist · In-Store Marketing Associate · Apparel Merchandiser · Display Artist · Display Coordinator · Display Designer
Job family: Arts, Design, Entertainment, Sports, and Media Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-27-1026-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Prepare sketches, floor plans, or models of proposed displays. · 50.0% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+3.2% by 2034)
- 20,800 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $37,350/yr
- Work is mostly on-site (not teleworkable)
40th-percentile task overlap — yet about 20,800 openings a year (+3.2% projected, BLS), and observed AI use leans 7333% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Low | 17th | -1.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 50th | 0.6 | |
| AI assistant applicability (Microsoft) Moderate | 58th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.5 · 46th percentile among occupations · Moderate
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Select themes, lighting, colors, or props to be used. | 0.5% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.2% by 2034 |
| Projected annual openings | 20,800 |
| Employment 2024 → 2034 | 193,000 → 199,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Merchandise Displayers and Window Trimmers sits at the 68th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
37% mean task exposure (2025)
68th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Interior Designers and Decorators · 3432 | 37% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 73.3% working with AI · — handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Prepare sketches, floor plans, or models of proposed displays. | Iteration | 0.3% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Prepare sketches, floor plans, or models of proposed displays. | 50.0% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me prepare sketches, floor plans, or models of proposed displays.From: Prepare sketches, floor plans, or models of proposed displays. · 0.3% of measured AI use · task iteration
Tasks
All 25 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Dress mannequins for displays. Supplemental · importance 4.8
- Plan commercial displays to entice and appeal to customers. Core · importance 4.4
- Arrange properties, furniture, merchandise, backdrops, or other accessories, as shown in prepared sketches. Core · importance 4.2
- Change or rotate window displays, interior display areas, or signage to reflect changes in inventory or promotion. Core · importance 4.2
- Place prices or descriptive signs on backdrops, fixtures, merchandise, or floor. Core · importance 4.1
- Consult with store managers, buyers, sales associates, housekeeping staff, or engineering staff to determine appropriate placement of displays or products. Core · importance 4.0
- Maintain props, products, or mannequins, inspecting them for imperfections, doing touch-ups, cleaning up after customers, or applying preservative coatings as necessary. Core · importance 4.0
- Supervise or train staff members on daily tasks, such as visual merchandising. Supplemental · importance 3.9
- Develop ideas or plans for merchandise displays or window decorations. Core · importance 3.9
- Assemble or set up displays, furniture, or products in store space, using colors, lights, pictures, or other accessories to display the product. Core · importance 3.9
- Store, pack, and maintain inventory records of props, products, or display items. Supplemental · importance 3.8
- Install booths, exhibits, displays, carpets, or drapes, as guided by floor plan of building or specifications. Core · importance 3.8
- Select themes, lighting, colors, or props to be used. Core · importance 3.8
- Use computers to produce signage. Supplemental · importance 3.8
- Prepare sketches, floor plans, or models of proposed displays. Supplemental · importance 3.8
- Attend training sessions or corporate planning meetings to obtain new ideas for product launches. Core · importance 3.7
- Consult with advertising or sales staff to determine type of merchandise to be featured and time and place for each display. Core · importance 3.7
- Instruct sales staff in color coordination of clothing racks or counter displays. Supplemental · importance 3.7
- Collaborate with others to obtain products or other display items. Core · importance 3.6
- Install decorations, such as flags, banners, festive lights, or bunting on or in building, street, exhibit hall, or booth. Supplemental · importance 3.6
- Construct or assemble displays or display components from fabric, glass, paper, or plastic, using hand tools or woodworking power tools, according to specifications. Core · importance 3.6
- Obtain plans from display designers or display managers and discuss their implementation with clients or supervisors. Core · importance 3.4
- Take photographs of displays or signage. Core · importance 3.3
- Cut out designs on cardboard, hardboard, or plywood, according to motif of event. Supplemental · importance 3.1
- Create or enhance mannequin faces by mixing and applying paint or attaching measured eyelash strips, using artist's brush, airbrush, pins, ruler, or scissors. Supplemental
Work activities
- Discuss production content and progress with others.
- Maintain inventories of materials, equipment, or products.
- Arrange artwork, products, or props.
- Train others on work processes.
- Maintain records, documents, or other files.
- Operate still or video cameras or related equipment.
- Develop promotional strategies or plans.
- Develop artistic or design concepts for decoration, exhibition, or commercial purposes.
- Collaborate with others in marketing activities.
- Draw detailed or technical illustrations.
- Select materials or props.
- Monitor current trends.
- Build models, patterns, or templates.
- Construct distinctive physical objects for artistic, functional, or commercial purposes.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Abilities
| Visualization | 3.9 | |
| Oral Comprehension | 3.6 | |
| Oral Expression | 3.6 | |
| Speech Clarity | 3.6 | |
| Fluency of Ideas | 3.4 | |
| Manual Dexterity | 3.4 | |
| Speech Recognition | 3.4 | |
| Originality | 3.3 | |
| Deductive Reasoning | 3.3 | |
| Information Ordering | 3.3 | |
| Category Flexibility | 3.3 | |
| Finger Dexterity | 3.3 | |
| Trunk Strength | 3.3 | |
| Near Vision | 3.3 | |
| Far Vision | 3.3 | |
| Visual Color Discrimination | 3.3 | |
| Problem Sensitivity | 3.1 | |
| Extent Flexibility | 3.1 | |
| Written Comprehension | 3.0 | |
| Written Expression | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Arm-Hand Steadiness | 3.0 | |
| Multilimb Coordination | 3.0 | |
| Static Strength | 3.0 | |
| Stamina | 3.0 | |
| Gross Body Coordination | 3.0 |
Knowledge
| Customer and Personal Service | 3.9 | |
| Sales and Marketing | 3.8 | |
| English Language | 3.3 | |
| Administration and Management | 3.1 |
Essential skills
| Active Listening | 3.5 | |
| Speaking | 3.3 | |
| Critical Thinking | 3.3 | |
| Reading Comprehension | 3.0 | |
| Writing | 2.9 | |
| Active Learning | 2.9 |
Transferable skills
| Judgment and Decision Making | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Coordination | 3.0 | |
| Time Management | 3.0 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 47.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 39.5% | |
| Some College Courses | 19.5% | |
| Bachelor's Degree | 17.6% | |
| Associate's Degree (or other 2-year degree) | 14.7% | |
| Post-Secondary Certificate | 8.7% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Applied Arts and Design | 5.8 | |
| Visual Arts | 4.8 | |
| Marketing/Advertising | 4.8 | |
| Physical/Manual Labor | 3.2 | |
| Sales | 2.8 | |
| Construction/Woodwork | 2.5 | |
| Management/Administration | 2.1 | |
| Business Initiatives | 1.9 |
Career interests (Holland / RIASEC)
| Artistic | 4.7 | |
| Realistic | 4.5 | |
| Enterprising | 4.3 | |
| Conventional | 3.1 | |
| Social | 2.2 |
Work styles
| Dependability | 3.0 | |
| Innovation | 2.3 | |
| Attention to Detail | 2.1 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $30,050 |
| 25th percentile | $33,580 |
| Median (50th) | $37,350 |
| 75th percentile | $44,750 |
| 90th percentile | $53,800 |
| People employed | 192,480 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Retail Trade · Sector | 79,710 | $35,770 |
| Wholesale Trade · Sector | 59,180 | $40,860 |
| Professional, Scientific, and Technical Services · Sector | 18,710 | $35,820 |
| Manufacturing · Sector | 10,110 | $39,880 |
| Management of Companies and Enterprises · Sector | 4,570 | $58,190 |
| Transportation and Warehousing · Sector | 2,260 | $43,180 |
| Temporary Help Services · National industry | 2,180 | $36,160 |
| Sporting Goods Retailers · National industry | 1,940 | $36,360 |
| Accommodation and Food Services · Sector | 640 | $31,470 |
| Full-Service Restaurants · National industry | 480 | $29,800 |
| Arts, Entertainment, and Recreation · Sector | 250 | $39,010 |
| Information · Sector | 180 | $56,640 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Wholesale Trade · Sector | 7.85× | 59,180 |
| Sporting Goods Retailers · National industry | 5.22× | 1,940 |
| Retail Trade · Sector | 4.09× | 79,710 |
| Professional, Scientific, and Technical Services · Sector | 1.39× | 18,710 |
| Management of Companies and Enterprises · Sector | 1.3× | 4,570 |
| Temporary Help Services · National industry | 0.66× | 2,180 |
| Manufacturing · Sector | 0.63× | 10,110 |
| Transportation and Warehousing · Sector | 0.24× | 2,260 |
Related occupations
Part of the Arts, Entertainment, & Design career cluster.
- Retail Salespersons · 41-2031.00 Compare →
- Advertising Sales Agents · 41-3011.00 Compare →
- Fashion Designers · 27-1022.00 Compare →
- Demonstrators and Product Promoters · 41-9011.00 Compare →
- Interior Designers · 27-1025.00 Compare →
- Graphic Designers · 27-1024.00 Compare →
- Commercial and Industrial Designers · 27-1021.00 Compare →
- Craft Artists · 27-1012.00 Compare →
- Set and Exhibit Designers · 27-1027.00 Compare →
- Floral Designers · 27-1023.00 Compare →
- Marketing Managers · 11-2021.00 Compare →
- Sales Managers · 11-2022.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Merchandise Displayers and Window Trimmers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 68th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Merchandise Displayers and Window Trimmers show 40th-percentile AI task overlap — and about 20,800 annual U.S. openings
- Merchandise Displayers and Window Trimmers rank in the 40th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 20,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+3.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $37,350, across about 192,480 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 73% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Merchandise Displayers and Window Trimmers show 40th-percentile AI task overlap — and about 20,800 annual U.S. openings • Merchandise Displayers and Window Trimmers rank in the 40th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 20,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+3.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $37,350, across about 192,480 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 73% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Merchandise Displayers and Window Trimmers". https://singulariki.com/roles/role-27-1026-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Merchandise Displayers and Window Trimmers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-27-1026-00
APA
Singulariki. (2026). Merchandise Displayers and Window Trimmers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-1026-00
BibTeX
@misc{singulariki-role-27-1026-00,
title = {Merchandise Displayers and Window Trimmers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-27-1026-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.