JobBreak

Personal Care and Service · United States (national)

Costume Attendants

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
23.6 of 100
AI / softwarerange 11.6 to 35.6
40.2 of 100
Physical / roboticsrange 28.2 to 52.2

When the change is likely

unlikely soon 0y 5y 10y 15y 20+y

Largely unaffected local demand growing

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Pivot toward Fabric and Apparel Patternmakers
It is skill-adjacent and less exposed (32.0 vs 40). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Create worksheets for dressing lists, show notes, or costume checks.
50.0
Provide dressing assistance to cast members or assign cast dressers to assist specific cast members with costume changes.
40.2
Arrange costumes in order of use to facilitate quick-change procedures for performances.
40.2
Design or construct costumes or send them to tailors for construction, major repairs, or alterations.
40.2
Examine costume fit on cast members and sketch or write notes for alterations.
40.2
Distribute costumes or related equipment and keep records of item status.
50.0
Check the appearance of costumes on stage or under lights to determine whether desired effects are being achieved.
40.2
Clean and press costumes before and after performances and perform any minor repairs.
40.2

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Create worksheets for dressing lists, show notes, or costume checks.
Task: Distribute costumes or related equipment and keep records of item status.
Local demand is growing

Lower-risk adjacent roles

Fabric and Apparel Patternmakers
32.0
Set and Exhibit Designers
35.9
Fashion Designers
37.5
Makeup Artists, Theatrical and Performance
38.9
Tailors, Dressmakers, and Custom Sewers
40.1

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Costume Attendants to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 23.6, robotics 40.2.
  4. The timeline comes from the higher axis (40.2), shifted for local demand (growing), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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