Costume Attendants vs Fashion Designers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Costume Attendants 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 | Costume Attendants | Fashion Designers |
|---|---|---|
| Median pay | $54,810 | $80,690 |
| Employment | 6,290 | 20,910 |
| Employment outlook (2024–34) · BLS projection | About average (+5.9%) | About average (+2.0%) |
| Annual openings · BLS projection | 1,800 | 2,300 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | 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 | Low · 31st pct | High · 84th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | — | 65th pct · 35% of tasks |
| Observed AI use · Anthropic Economic Index | — | Augmentation-leaning (45.1%) |
| Mostly remote-capable · Dingel–Neiman | No | 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: Oral Comprehension, Oral Expression, Problem Sensitivity, Near Vision, Design, Production and Processing, English Language, Active Listening, Speaking, Monitoring, Coordination, Fluency of Ideas, Information Ordering, Category Flexibility, Speech Clarity, Social Perceptiveness, Written Comprehension, Originality, Deductive Reasoning, Inductive Reasoning, Speech Recognition, Reading Comprehension, Critical Thinking, Service Orientation, Written Expression, Persuasion, Negotiation, Time Management, Visual Color Discrimination.
Specific to Costume Attendants
- Fine Arts
- Customer and Personal Service
- Psychology
- Selective Attention
- Arm-Hand Steadiness
- Finger Dexterity
- Administration and Management
- Manual Dexterity
Specific to Fashion Designers
- Active Learning
- Judgment and Decision Making
- Visualization
- Complex Problem Solving
- Instructing
- Management of Personnel Resources
- Writing
- Computers and Electronics
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 , Electronic mail software , Word processing software , Internet browser software .
Specific to Costume Attendants
Full profiles
This page is a summary. See the complete source-backed profile for Costume Attendants 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.
- Costume Attendants vs Tailors, Dressmakers, and Custom Sewers
- Costume Attendants vs Makeup Artists, Theatrical and Performance
- Costume Attendants vs Fabric and Apparel Patternmakers
- Costume Attendants vs Set and Exhibit Designers
- Costume Attendants vs Sewers, Hand
- Costume Attendants vs Jewelers and Precious Stone and Metal Workers
- Costume Attendants vs Interior Designers
- Costume Attendants vs Sewing Machine Operators
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. "Costume Attendants 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/costume-attendants-vs-fashion-designers
Singulariki. (2026). Costume Attendants vs Fashion Designers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/costume-attendants-vs-fashion-designers
@misc{singulariki-costume-attendants-vs-fashion-designers,
title = {Costume Attendants 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/costume-attendants-vs-fashion-designers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.