Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

50.1%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

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

Set and Exhibit Designers

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

The career of set and exhibit designers is labeled as "Evolving" because AI tools are starting to play a bigger role in their work, particularly in brainstorming and planning stages. Designers use AI to quickly generate concept images and manage technical details, which helps them explore ideas faster.

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Learn more about how you can thrive in this position

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Latest news
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This role is evolving

The career of set and exhibit designers is labeled as "Evolving" because AI tools are starting to play a bigger role in their work, particularly in brainstorming and planning stages. Designers use AI to quickly generate concept images and manage technical details, which helps them explore ideas faster.

Read full analysis

Contributing 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

Learn about this score
Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

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Changing fast iconChanging fast

24.2%

24.2%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

79.5%

79.5%

Althoff & Reichardt

Economic Growth

Learn about this score
Changing fast iconChanging fast

25.5%

25.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

2.3%

Growth Percentile:

44.4%

Annual Openings:

2,500

Annual Openings Pct:

25.3%

Analysis of Current AI Resilience

Set and Exhibit Designers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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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More Career Info

Career: Set and Exhibit Designers

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceCore Task

Inspect installed exhibits for conformance to specifications, and satisfactory operation of special effects components.

2

80% ResilienceCore Task

Design and produce displays and materials that can be used to decorate windows, interior displays, or event locations such as streets and fairgrounds.

3

75% ResilienceCore Task

Confer with clients and staff in order to gather information about exhibit space, proposed themes and content, timelines, budgets, materials, and/or promotion requirements.

4

75% ResilienceCore Task

Research architectural and stylistic elements appropriate to the time period to be depicted, consulting experts for information as necessary.

5

75% ResilienceCore Task

Design and build scale models of set designs, or miniature sets used in filming backgrounds or special effects.

6

70% ResilienceCore Task

Acquire, or arrange for acquisition of, specimens or graphics required to complete exhibits.

7

70% ResilienceCore Task

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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