Will AI replace Merchandise Displayers and Window Trimmers?
Estimated risk score: 22 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (3 to 41).
For the occupation as a whole, from ratings of its 25 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-1026.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 25 rated tasks. In O*NET’s words.
- Use computers to produce signage.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 11 of its 25 rated tasks; the first 6 are shown. In O*NET’s words.
- Construct or assemble displays or display components from fabric, glass, paper, or plastic, using hand tools or woodworking power tools, according to specifications.
- Install booths, exhibits, displays, carpets, or drapes, as guided by floor plan of building or specifications.
- Maintain props, products, or mannequins, inspecting them for imperfections, doing touch-ups, cleaning up after customers, or applying preservative coatings as necessary.
- Place prices or descriptive signs on backdrops, fixtures, merchandise, or floor.
- Collaborate with others to obtain products or other display items.
- Cut out designs on cardboard, hardboard, or plywood, according to motif of event.
What the job is
Plan and erect commercial displays, such as those in windows and interiors of retail stores and at trade exhibitions.
Also called: Display Associate, Visual Merchandiser (VM), Visual Merchandising Specialist, VM, Model Dresser, Window Draper, Display Artist, Window Dresser.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate