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Set and Exhibit Designers vs Costume Attendants

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Set and Exhibit Designers and Costume Attendants 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.”

Set and Exhibit Designers Costume Attendants
Median pay · BLS OEWS
$66,280
$54,810
Employment · BLS OEWS
10,850
6,290
AI exposure (percentile) · task overlap, not automation
77th pct
31st pct

At a glance

Dimension Set and Exhibit Designers Costume Attendants
Median pay $66,280 $54,810
Employment 10,850 6,290
Employment outlook (2024–34) · BLS projection About average (+2.3%) About average (+5.9%)
Annual openings · BLS projection 2,500 1,800
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). Usually requires a high school diploma or GED, though some occupations may not.
AI exposure · published exposure studies High · 77th pct Low · 31st pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 68th pct · 37% of tasks —
Observed AI use · Anthropic Economic Index Automation-leaning (43.3%) —
Mostly remote-capable · Dingel–Neiman Yes No

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: Fine Arts, Design, Fluency of Ideas, Oral Comprehension, Reading Comprehension, Active Listening, Written Comprehension, Originality, Problem Sensitivity, Speaking, Critical Thinking, Time Management, Oral Expression, Written Expression, Information Ordering, Near Vision, Speech Recognition, Deductive Reasoning, Speech Clarity, Coordination, Inductive Reasoning, Category Flexibility, English Language, Monitoring, Production and Processing, Mathematics, Mathematics, Social Perceptiveness, Persuasion, Negotiation.

Specific to Set and Exhibit Designers

  • Visualization
  • Computers and Electronics
  • Operations Analysis
  • Building and Construction
  • History and Archeology
  • Complex Problem Solving
  • Judgment and Decision Making
  • Writing

Specific to Costume Attendants

  • Customer and Personal Service
  • Psychology
  • Selective Attention
  • Arm-Hand Steadiness
  • Finger Dexterity
  • Administration and Management
  • Service Orientation
  • Manual Dexterity

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: Spreadsheet software , Office suite software , Data base user interface and query software , Electronic mail software , Word processing software .

Specific to Set and Exhibit Designers

Specific to Costume Attendants

Full profiles

This page is a summary. See the complete source-backed profile for Set and Exhibit Designers or Costume Attendants — 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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Set and Exhibit Designers vs Costume Attendants." 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-costume-attendants

APA

Singulariki. (2026). Set and Exhibit Designers vs Costume Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/set-and-exhibit-designers-vs-costume-attendants

BibTeX 
@misc{singulariki-set-and-exhibit-designers-vs-costume-attendants,
  title  = {Set and Exhibit Designers vs Costume Attendants},
  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-costume-attendants}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.