As of July 2026, Costume Attendants has an AI-exposure score of 47/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Costume Attendants

47/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 24% of the roles we track. Median pay ~US$50,400. About 1,800 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Select, fit, and take care of costumes for cast members, and aid entertainers. May assist with multiple costume changes during performances.

Common titles
CostumerDresserWardrobe AssistantWardrobe SupervisorCostume DraperCostume Seamstress
O*NET job-zone preparation
Job Zone 2 · Some Preparation Needed These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
CoordinationMonitoringSpeakingSocial PerceptivenessFine ArtsDesign
Tools and technology
Microsoft Office softwareMicrosoft ExcelMicrosoft OutlookMicrosoft WordDatabase softwareGarment tracking software
Work context
Indoor controlled settingFace-to-face discussionsFrequent contact with othersDecision latitudeEmail use

Source: O*NET 29.1 exact occupation - Costume Attendants, SOC 39-3092.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Costume Attendants tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as augmentable (80%).

Augmentable
  • Review scripts or other production information to determine a story's locale or period, as well as the number of characters and required costumes.
  • Return borrowed or rented items when productions are complete and return other items to storage.
14 more augmentable tasks locked in the report.
Durable
  • Clean and press costumes before and after performances and perform any minor repairs.
  • Monitor, maintain, or secure inventories of costumes, wigs, or makeup, providing keys or access to assigned directors, costume designers, or wardrobe mistresses/masters.
2 more durable tasks locked in the report.

We analyzed all 20 Costume Attendants tasks - 16 augmentable and 4 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Fashion Designers
80% skills overlap; 5 points higher - similar exposure within the 5-point model resolution; Elevated band; ~US$80,960
View path
52
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Review scripts or other production information to determine a story's locale or period, as well as the number of characters and required costumes.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.