Will AI replace Set and Exhibit Designers?
Work in Set and Exhibit Designers sits in the in-between: AI reaches some of it (~39% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 27-1027
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~39%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~39%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- Develop set designs, based on evaluation of scripts, budgets, research information, and available locations.
- Prepare rough drafts and scale working drawings of sets, including floor plans, scenery, and properties to be constructed.
- Prepare preliminary renderings of proposed exhibits, including detailed construction, layout, and material specifications, and diagrams relating to aspects such as special effects or lighting.
- Read scripts to determine location, set, and design requirements.
- Submit plans for approval, and adapt plans to serve intended purposes, or to conform to budget or fabrication restrictions.
- Research architectural and stylistic elements appropriate to the time period to be depicted, consulting experts for information, as necessary.
- Observe sets during rehearsals in order to ensure that set elements do not interfere with performance aspects such as cast movement and camera angles.
- Collaborate with those in charge of lighting and sound so that those production aspects can be coordinated with set designs or exhibit layouts.
- Select set props, such as furniture, pictures, lamps, and rugs.
- Design and build scale models of set designs, or miniature sets used in filming backgrounds or special effects.
- Examine objects to be included in exhibits to plan where and how to display them.
- Assign staff to complete design ideas and prepare sketches, illustrations, and detailed drawings of sets, or graphics and animation.
- Estimate set- or exhibit-related costs, including materials, construction, and rental of props or locations.
- Plan for location-specific issues, such as space limitations, traffic flow patterns, and safety concerns.
- Acquire, or arrange for acquisition of, specimens or graphics required to complete exhibits.
- Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations, such as streets and fairgrounds.
- Attend rehearsals and production meetings to obtain and share information related to sets.
- Confer with clients and staff to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, or promotion requirements.
- Inspect installed exhibits for conformance to specifications and satisfactory operation of special-effects components.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.