Will AI replace Costume Attendants?
Personal Care and Service · O*NET 39-3092.00
Task exposure index for this occupation
Averaged across the week, this work sits in the middle of the exposure scale: a real part of it is already automatable and a real part is not. O*NET breaks Costume Attendants into 21 distinct work activities. Weighted by how much of the week each one takes, 27% of the job sits at or above the threshold where current systems can do the task end to end. The single largest contributor is "Prepare operational reports or records", which scores 95 and takes roughly 7% of the week. That is the average for the job title. It is not a measurement of any particular person’s week, and the difference between the two is usually larger than the difference between job titles.
Model v1.2 · activity indices last updated 18 August 2026
What this occupation does
Select, fit, and take care of costumes for cast members, and aid entertainers. May assist with multiple costume changes during performances.
The most exposed parts of the job
Scored 0–100 on how completely a current system could perform the activity.
- Prepare operational reports or records.95
About 7% of a typical week
- Review art or design materials.72
About 6% of a typical week
- Review production information to determine costume or makeup requirements.72
About 8% of a typical week
- Design costumes or cosmetic effects for characters.62
About 6% of a typical week
- Maintain supply or equipment inventories.52
About 5% of a typical week
The least exposed parts
The same scale. These are the activities current systems handle worst.
- Clean fabrics or apparel.5
About 8% of a typical week
- Deliver items.14
About 5% of a typical week
- Maintain facilities.16
About 2% of a typical week
- Arrange items for use or display.16
About 6% of a typical week
- Supervise service workers.20
About 4% of a typical week
How far off the rest is
Of those 21 activities, 3 can be performed by systems available today and 7 are outside what current approaches do at all. The remaining 11 sit in between — demonstrated in research or in narrow products, but not something you can hand over whole. We do not put dates on that middle group, because nobody can.
Compared with similar occupations
The nearest scoring roles in Personal Care and Service.
- Costume Attendants (this page)45
- First-Line Supervisors of Personal Service Workers45
- First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services44
- Gambling and Sports Book Writers and Runners46
Why your own number is different
Two people with the title "Costume Attendants" can spend their weeks on almost entirely different parts of this list, and the parts they choose move the number far more than the title does. Who signs off when the work is wrong, whether the job needs you physically present, and how fast you have picked up the tools all change it again — and none of that is in an occupation average.
The assessment asks you to divide your own week across these activities and answer fourteen questions about the parts of the job an occupation average cannot see. It takes six to nine minutes.
Score my own roleFree to take. The full report is a paid subscription — the price and its terms are on the pricing section, before you start.
Questions
Will AI replace Costume Attendants?
We do not answer that, because nobody can. What is measurable is how much of the work is already doable by machine: for Costume Attendants, about 27% of a typical week, across 21 activities. The other 73% is not, and what happens to the job depends on things this index does not contain — cost, regulation, who carries the liability, and what the people doing it decide to do next.
What part of this job is most exposed?
"Prepare operational reports or records" — it scores 95 out of 100 on task automatability and takes roughly 7% of the week.
What part is least exposed?
"Clean fabrics or apparel", at 5 out of 100. Work like that is where the hours you protect tend to be worth the most.
Where do these numbers come from?
The activity list and the time weights come from O*NET 30.3, the US Department of Labor's occupational database. The exposure score for each activity is ours, from a published model — the weights, the priors and the limitations are all on the methodology page. No language model is involved in the arithmetic.
Does this apply to my job?
Only roughly. This is the average for the title, and the number that matters is the one for the week you actually work. The assessment asks you to divide your own time across these activities and answer fourteen questions about accountability, the parts of the job that need you specifically, and how fast you have adapted. That produces a different number, and usually a more useful one.
The full model — the weights, the priors and what it cannot see — is on the methodology page.