Fashion Designers vs Costume Attendants
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Fashion 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.”
At a glance
| Dimension | Fashion Designers | Costume Attendants |
|---|---|---|
| Median pay | $80,690 | $54,810 |
| Employment | 20,910 | 6,290 |
| Employment outlook (2024–34) · BLS projection | About average (+2.0%) | About average (+5.9%) |
| Annual openings · BLS projection | 2,300 | 1,800 |
| Typical education · O*NET | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | High · 84th pct | Low · 31st 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 | 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: Design, Originality, Active Listening, Speaking, Critical Thinking, Written Comprehension, Oral Expression, Fluency of Ideas, Social Perceptiveness, Coordination, Time Management, Oral Comprehension, Near Vision, Visual Color Discrimination, Speech Recognition, Reading Comprehension, Persuasion, Negotiation, Written Expression, Problem Sensitivity, Deductive Reasoning, Category Flexibility, Monitoring, Service Orientation, Inductive Reasoning, Speech Clarity, Production and Processing, English Language, Information Ordering.
Specific to Fashion Designers
- Active Learning
- Judgment and Decision Making
- Visualization
- Complex Problem Solving
- Instructing
- Management of Personnel Resources
- Writing
- Computers and Electronics
Specific to Costume Attendants
- Fine Arts
- Customer and Personal Service
- Psychology
- Selective Attention
- Arm-Hand Steadiness
- Finger Dexterity
- Administration and Management
- 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 , Electronic mail software , Word processing software , Internet browser software .
Specific to Fashion Designers
Specific to Costume Attendants
Full profiles
This page is a summary. See the complete source-backed profile for Fashion 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.
- Fashion Designers vs Fabric and Apparel Patternmakers
- Fashion Designers vs Commercial and Industrial Designers
- Fashion Designers vs Craft Artists
- Fashion Designers vs Graphic Designers
- Fashion Designers vs Tailors, Dressmakers, and Custom Sewers
- Fashion Designers vs Interior Designers
- Fashion Designers vs Merchandise Displayers and Window Trimmers
- Fashion Designers vs Sewers, Hand
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. "Fashion 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/fashion-designers-vs-costume-attendants
Singulariki. (2026). Fashion Designers vs Costume Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/fashion-designers-vs-costume-attendants
@misc{singulariki-fashion-designers-vs-costume-attendants,
title = {Fashion 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/fashion-designers-vs-costume-attendants}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.