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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Set and Exhibit Designers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Set and exhibit designers are considered "Somewhat Resilient" because while AI tools can assist in generating creative ideas and speeding up the design process, they don't replace the human touch needed for the core work. Designers still rely on their unique creativity and judgment to match a set to a story or choose the right props.
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Learn more about how you can thrive in this position
This role is somewhat resilient
Set and exhibit designers are considered "Somewhat Resilient" because while AI tools can assist in generating creative ideas and speeding up the design process, they don't replace the human touch needed for the core work. Designers still rely on their unique creativity and judgment to match a set to a story or choose the right props.
Read full analysisAnalysis of Current AI Resilience
Set and Exhibit Designers
Updated Quarterly • Last Update: 2/17/2026

Set and exhibit designers use computers for many routine tasks already. For example, they often make rough sketches and detailed drawings using CAD programs [1]. Today, new AI tools can speed up the creative side.
Text-to-image AI (like Midjourney or DALL·E) can turn a description into a quick concept image, helping designers build mood boards or explore ideas faster [2] [3]. In practice, designers say these tools help them brainstorm (for instance, generating textures or lighting ideas) but do not do the whole job [2] [3].
Other tasks see some new tech experiments. In large construction projects, researchers use AI and building-information software to plan and order materials more efficiently [4], though set builders usually still pick out lumber and hardware by hand. Computer vision (an AI that “sees”) is being tested to inspect builds – spotting misaligned parts or safety issues on a construction site [5].
Similarly, in retail and exhibits, AI is used to update digital displays on the fly (for example, changing a window sign’s images based on weather or stock levels) [6] [6]. These are mostly new tools to assist designers, not replace them. Creative judgments – like matching a set to a story or choosing props – remain in human hands [2] [1].

Why might set designers adopt AI tools quickly or slowly? On the plus side, many designers find that AI can speed up early stages. Industry surveys (in architecture, a related field) show roughly 40% of architects use AI tools and say it makes design faster [4].
One expert says AI lets you go from an idea to a rendered design “extremely fast,” speeding up iteration [3]. Free or low-cost tools (like demo accounts for Midjourney or DALL·E) make experimenting easy.
On the caution side, AI still needs skilled people to interpret the results. Leading designers note that current AI “enhances” their workflow, but doesn’t fully replace their creativity [2]. Building a real stage set also has practical concerns: creative teams may not have the budget or technical infrastructure to lock into expensive AI systems, and many designers work freelance [1].
There are also ethical and legal uncertainties – for example, AI art tools have sparked copyright lawsuits [3] – which make some studios hesitant. In short, AI is seen as a useful tool for idea-generation and technical checks, but most people expect the core design work will stay human-driven for now [2] [4].

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They create and arrange scenes and displays for movies, theater, or museums to make them look realistic and engaging for the audience.
Median Wage
$66,280
Jobs (2024)
31,300
Growth (2024-34)
+2.3%
Annual Openings
2,500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Arrange for outside contractors to construct exhibit structures.
Examine objects to be included in exhibits in order to plan where and how to display them.
Inspect installed exhibits for conformance to specifications, and satisfactory operation of special effects components.
Observe sets during rehearsals in order to ensure that set elements do not interfere with performance aspects such as cast movement and camera angles.
Provide supportive materials for exhibits and displays, such as press kits and advertising, posters, brochures, catalogues, and invitations and publicity notices.
Acquire, or arrange for acquisition of, specimens or graphics required to complete exhibits.
Select and purchase lumber and hardware necessary for set construction.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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