Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Costume Attendants:

49.6%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient costume attendant work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For costume attendants, six of seven sources had data, with Anthropic the only gap. Exposure split slightly: AI Resilience Model rated it low while Microsoft and Will Robots Take My Job rated it medium, which holds confidence at medium. Strong hands-on, people-centered work offsets softer pay signals, landing this role at "Somewhat Resilient."

AI Resilience Report forCostume Attendants

$54,810 median salary1,800 annual openingsSOC Code: 39-3092.00

Costume Attendants are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Costume attendants land in the "Somewhat Resilient" category because the core, hands-on work (helping actors into costumes, quick-changes, pressing and mending) is genuinely hard for AI or robots to replace, but some surrounding tasks like inventory tracking and record-keeping are already being augmented by smart tools and apps. Union protections through IATSE also provide a real safety net, ensuring that AI adoption in this field happens slowly and with worker rights in mind.

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This role is somewhat resilient

Costume attendants land in the "Somewhat Resilient" category because the core, hands-on work (helping actors into costumes, quick-changes, pressing and mending) is genuinely hard for AI or robots to replace, but some surrounding tasks like inventory tracking and record-keeping are already being augmented by smart tools and apps. Union protections through IATSE also provide a real safety net, ensuring that AI adoption in this field happens slowly and with worker rights in mind.

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Analysis of Current AI Resilience

Costume Attendants

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Costume Attendants jobs?

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."

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AI Adoption

How fast is AI adoption growing for Costume Attendants?

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.

Sources

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Will AI replace Costume Attendants?

Will AI replace Costume Attendants?

Not entirely. We think AI will take over some tasks, but not the whole job.

Costume attendants earn a 49.6% AI Resilience Score, which puts them in real but manageable territory. AI is already making inroads upstream, helping designers generate sewing patterns and prototype adjustments faster. Generative tools are also changing preproduction, though as Deloitte notes, these technologies cannot yet deliver Hollywood-level productions on their own [1]. The hands-on core of this job, steaming a jacket two minutes before curtain, guiding an actor through a 30-second quick-change, mending a seam mid-show, stays stubbornly human.

Union protections add a real buffer. IATSE's contracts with studios establish that AI use falls under union agreements, and members who lose work due to AI are entitled to severance and retraining. That matters. The economic picture is more mixed: wages and long-term demand are moderate, so this is not a field where you can coast. But audiences pay for live performance, and as American Theatre argues, AI works best when leaders treat it as a tool rather than a replacement for something human [2].

The smart move is to stay adaptable, learn inventory and wardrobe tech as it evolves, and keep sharpening the physical, relational skills no algorithm can replicate backstage.

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Latest AI news for Costume Attendants

These articles highlight how AI can enhance the role of Costume Attendants rather than replace them. For instance, AI tools can streamline inventory management and assist in digital costume design, allowing attendants to focus on creative and hands-on aspects of their work. The "Will AI Replace Costume Attendants?" article suggests a medium risk for job displacement, emphasizing the importance of developing skills in AI tools, which can make attendants more efficient and adaptable. Embracing AI can lead to a resilient career path in the evolving landscape of costume design.

More Career Info

Career: Costume Attendants

They help actors by organizing and maintaining costumes, making sure they fit right, and assisting with quick changes during performances.

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceCore Task

Clean and press costumes before and after performances and perform any minor repairs.

2

92% ResilienceSupplemental

Design or construct costumes or send them to tailors for construction, major repairs, or alterations.

3

90% ResilienceSupplemental

Provide assistance to cast members in wearing costumes, or assign cast dressers to assist specific cast members with costume changes.

4

88% ResilienceSupplemental

Purchase, rent, or requisition costumes or other wardrobe necessities.

5

85% ResilienceCore Task

Assign lockers to employees and maintain locker rooms, dressing rooms, wig rooms, or costume storage or laundry areas.

6

82% ResilienceSupplemental

Examine costume fit on cast members and sketch or write notes for alterations.

7

80% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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