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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Costume Attendants are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Costume attendants are holding up really well against AI because the heart of this job — helping an actor into a costume in 30 seconds, pressing a jacket right before showtime, or mending a tear on the fly — requires the kind of physical skill and calm, quick thinking that robots simply can't replicate yet. While AI tools are starting to help with things like tracking inventory or designing patterns in preproduction, those changes support the work rather than replace the person doing it.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Costume attendants are holding up really well against AI because the heart of this job — helping an actor into a costume in 30 seconds, pressing a jacket right before showtime, or mending a tear on the fly — requires the kind of physical skill and calm, quick thinking that robots simply can't replicate yet. While AI tools are starting to help with things like tracking inventory or designing patterns in preproduction, those changes support the work rather than replace the person doing it.
Read full analysisAnalysis of Current AI Resilience
Costume Attendants
Updated Quarterly • Last Update: 5/14/2026

If you've ever worried that a robot could take over backstage at a theater or film set, here's some reassuring news: the hands-on work costume attendants do — steaming a jacket two minutes before curtain, helping an actor into a quick-change harness, or sorting a rack in the exact order it'll be worn — is one of the hardest things for AI to touch. Most current AI in this corner of entertainment is being used upstream of the dresser. Researchers are training models like NeuralTailor to generate sewing patterns from 3D models for faster costume adjustments, which helps designers and tailors prototype, not wardrobe crews on show night.
Bigger studios are also using generative tools to de-age their celebrities or create digital twins, but Deloitte notes that while content creation with generative AI can enable greater creativity in preproduction, it cannot yet deliver Hollywood-level productions [1]. On the inventory side, theaters are starting to test RFID tags and smart-closet apps to track items, which augments the "distribute costumes and keep records" task without replacing the person doing it. Even arts-sector AI advocates emphasize the limits — American Theatre [2] argues that AI works best when leaders see "the technology is a tool and not a replacement for something human."

Adoption in this field is slow, and for good reasons. First, union protections matter: IATSE's 2024 contract with the studios established that any AI use will be covered by the union contract, and no member will be forced to enter prompts into an AI system that put another member out of work. The contracts also provide that if a member loses their job due to AI, they are entitled to severance and retraining, and in 2025 IATSE publicly opposed a ten-year ban on enforcement or enactment of all state-level artificial intelligence (AI) policies.
Second, costume attendant tasks — pressing, mending, dressing a sweaty actor in 30 seconds — require dexterity and judgment robots can't match cheaply. Third, the economics push toward keeping humans: CNN reports [3] producers blame rising costs on "theater rent, fees, labor and even lumber," but ticket revenue funds live craft, not factory automation. Finally, audiences pay for the live, human feel of theater.
Your sewing skills, calm under pressure, and care for performers remain the heart of this job.

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They help actors by organizing and maintaining costumes, making sure they fit right, and assisting with quick changes during performances.
Median Wage
$54,810
Jobs (2024)
6,700
Growth (2024-34)
+5.9%
Annual Openings
1,800
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Clean and press costumes before and after performances and perform any minor repairs.
Design or construct costumes or send them to tailors for construction, major repairs, or alterations.
Provide assistance to cast members in wearing costumes, or assign cast dressers to assist specific cast members with costume changes.
Purchase, rent, or requisition costumes or other wardrobe necessities.
Assign lockers to employees and maintain locker rooms, dressing rooms, wig rooms, or costume storage or laundry areas.
Examine costume fit on cast members and sketch or write notes for alterations.
Return borrowed or rented items when productions are complete and return other items to storage.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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