Set and Exhibit Designers vs Fashion Designers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Set and Exhibit Designers and Fashion Designers on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Set and Exhibit Designers | Fashion Designers |
|---|---|---|
| Median pay | $66,280 | $80,690 |
| Employment | 10,850 | 20,910 |
| Employment outlook (2024–34) · BLS projection | About average (+2.3%) | About average (+2.0%) |
| Annual openings · BLS projection | 2,500 | 2,300 |
| Typical education · O*NET | Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. |
| AI exposure · published exposure studies | High · 77th pct | High · 84th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 68th pct · 37% of tasks | 65th pct · 35% of tasks |
| Observed AI use · Anthropic Economic Index | Automation-leaning (43.3%) | Augmentation-leaning (45.1%) |
| Mostly remote-capable · Dingel–Neiman | Yes | Yes |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Design, Fluency of Ideas, Oral Comprehension, Visualization, Reading Comprehension, Active Listening, Written Comprehension, Originality, Problem Sensitivity, Computers and Electronics, Speaking, Critical Thinking, Operations Analysis, Time Management, Oral Expression, Written Expression, Information Ordering, Near Vision, Speech Recognition, Deductive Reasoning, Speech Clarity, Coordination, Inductive Reasoning, Category Flexibility, Complex Problem Solving, Judgment and Decision Making, Writing, English Language, Active Learning, Monitoring, Production and Processing, Social Perceptiveness, Persuasion, Negotiation.
Specific to Set and Exhibit Designers
- Fine Arts
- Building and Construction
- History and Archeology
- Communications and Media
- Mathematics
- Mathematics
Specific to Fashion Designers
- Visual Color Discrimination
- Instructing
- Service Orientation
- Management of Personnel Resources
- Sales and Marketing
- Learning Strategies
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Graphics or photo imaging software , Computer aided design CAD software , Spreadsheet software , Office suite software , Document management software , Desktop publishing software , Electronic mail software , Presentation software , Word processing software .
Specific to Set and Exhibit Designers
Full profiles
This page is a summary. See the complete source-backed profile for Set and Exhibit Designers or Fashion Designers — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Set and Exhibit Designers vs Graphic Designers
- Set and Exhibit Designers vs Fine Artists, Including Painters, Sculptors, and Illustrators
- Set and Exhibit Designers vs Art Directors
- Set and Exhibit Designers vs Craft Artists
- Set and Exhibit Designers vs Commercial and Industrial Designers
- Set and Exhibit Designers vs Museum Technicians and Conservators
- Set and Exhibit Designers vs Interior Designers
- Set and Exhibit Designers vs Merchandise Displayers and Window Trimmers
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Set and Exhibit Designers vs Fashion Designers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/set-and-exhibit-designers-vs-fashion-designers
Singulariki. (2026). Set and Exhibit Designers vs Fashion Designers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/set-and-exhibit-designers-vs-fashion-designers
@misc{singulariki-set-and-exhibit-designers-vs-fashion-designers,
title = {Set and Exhibit Designers vs Fashion Designers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/set-and-exhibit-designers-vs-fashion-designers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.