Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations, such as streets and fairgrounds.
Work task
“Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations, such as streets and fairgrounds.” is a core task performed by Set and Exhibit Designers. Among the occupation's 27 rated tasks, workers place it 4th by importance (#24 most important). About 75% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T1.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 0.014% share of AI-use records mapped to this task
- 30% of that use is work-related
- Most common interaction: directive
- Average autonomy of the AI: 3.7 (1–5; higher = more autonomous)
- 73% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| directive | 50% | you give the instruction; AI produces a finished result | |
| task iteration | 41% | you and AI go back and forth on the work |
Other tasks in this occupation
- Develop set designs, based on evaluation of scripts, budgets, research information, and available locations. · importance 4.9
- Prepare rough drafts and scale working drawings of sets, including floor plans, scenery, and properties to be constructed. · importance 4.8
- Prepare preliminary renderings of proposed exhibits, including detailed construction, layout, and material specifications, and diagrams relating to aspects such as special effects or lighting. · importance 4.8
- Read scripts to determine location, set, and design requirements. · importance 4.8
- Submit plans for approval, and adapt plans to serve intended purposes, or to conform to budget or fabrication restrictions. · importance 4.6
- Attend rehearsals and production meetings to obtain and share information related to sets. · importance 4.6
- Confer with clients and staff to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, or promotion requirements. · importance 4.5
- Research architectural and stylistic elements appropriate to the time period to be depicted, consulting experts for information, as necessary. · importance 4.4
- Observe sets during rehearsals in order to ensure that set elements do not interfere with performance aspects such as cast movement and camera angles. · importance 4.4
- Collaborate with those in charge of lighting and sound so that those production aspects can be coordinated with set designs or exhibit layouts. · importance 4.3
- Select set props, such as furniture, pictures, lamps, and rugs. · importance 4.2
- Design and build scale models of set designs, or miniature sets used in filming backgrounds or special effects. · importance 4.0
- Examine objects to be included in exhibits to plan where and how to display them. · importance 3.8
- Assign staff to complete design ideas and prepare sketches, illustrations, and detailed drawings of sets, or graphics and animation. · importance 3.8
See all tasks on the Set and Exhibit Designers page.
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
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations, such as streets and fairgrounds.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-9298
Singulariki. (2026). Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations, such as streets and fairgrounds.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-9298
@misc{singulariki-task-9298,
title = {Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations, such as streets and fairgrounds.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-9298}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.