Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They create and arrange scenes and displays for movies, theater, or museums to make them look realistic and engaging for the audience.
This role is evolving
Set and exhibit design is labeled as "Evolving" because AI tools are becoming part of the creative process, helping designers brainstorm and create concept images faster. These tools assist with idea generation and technical checks, but the core creative decisions, like matching a set to a story, still depend on human judgment.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
Set and exhibit design is labeled as "Evolving" because AI tools are becoming part of the creative process, helping designers brainstorm and create concept images faster. These tools assist with idea generation and technical checks, but the core creative decisions, like matching a set to a story, still depend on human judgment.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Set and Exhibit Designers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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].

AI in the real world
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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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
Inspect installed exhibits for conformance to specifications, and satisfactory operation of special effects components.
Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations such as streets and fairgrounds.
Confer with clients and staff in order to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, and/or promotion requirements.
Research architectural and stylistic elements appropriate to the time period to be depicted, consulting experts for information as necessary.
Design and build scale models of set designs, or miniature sets used in filming backgrounds or special effects.
Acquire, or arrange for acquisition of, specimens or graphics required to complete exhibits.
Plan for location-specific issues such as space limitations, traffic flow patterns, and safety concerns.
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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