Arts, Design, Entertainment, Sports, and Media · United States (national)
Set and Exhibit Designers
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 23.9 to 47.9
Physical / roboticsrange 19.2 to 43.2
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
3
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Develop set designs, based on evaluation of scripts, budgets, research information, and available locations.
50.0
Prepare rough drafts and scale working drawings of sets, including floor plans, scenery, and properties to be constructed.
50.0
Prepare preliminary renderings of proposed exhibits, including detailed construction, layout, and material specifications, and diagrams relating to aspects such as special effects or lighting.
50.0
Read scripts to determine location, set, and design requirements.
50.0
Submit plans for approval, and adapt plans to serve intended purposes, or to conform to budget or fabrication restrictions.
50.0
Attend rehearsals and production meetings to obtain and share information related to sets.
100.0
Confer with clients and staff to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, or promotion requirements.
100.0
Research architectural and stylistic elements appropriate to the time period to be depicted, consulting experts for information, as necessary.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Attend rehearsals and production meetings to obtain and share information related to sets.
Task: Confer with clients and staff to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, or promotion requirements.
How this score is calculated
Map Set and Exhibit Designers to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 35.9, robotics 31.2.
The timeline comes from the higher axis (35.9), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.