Will AI replace Ushers, Lobby Attendants, and Ticket Takers?
Personal Care and Service · O*NET 39-3031.00
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 Ushers, Lobby Attendants, and Ticket Takers into 20 distinct work activities. Weighted by how much of the week each one takes, 18% of the job sits at or above the threshold where current systems can do the task end to end. The single largest contributor is "Verify patron or staff credentials", which scores 82 and takes roughly 14% 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
Assist patrons at entertainment events by performing duties, such as collecting admission tickets and passes from patrons, assisting in finding seats, searching for lost articles, and helping patrons locate such facilities as restrooms and telephones.
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 4% of a typical week
- Verify patron or staff credentials.82
About 14% of a typical week
- Maintain supply or equipment inventories.52
About 1% of a typical week
- Monitor environment to ensure safety.46
About 5% of a typical week
- Provide patrons with directions to locales or attractions.42
About 6% of a typical week
The least exposed parts
The same scale. These are the activities current systems handle worst.
- Clean facilities or work areas.5
About 5% of a typical week
- Usher patrons to seats or exits.14
About 10% of a typical week
- Arrange artwork, products, or props.16
About 3% of a typical week
- Greet customers, patrons, or visitors.18
About 7% of a typical week
- Assist individuals with special needs.18
About 6% of a typical week
How far off the rest is
Of those 20 activities, 2 can be performed by systems available today and 11 are outside what current approaches do at all. The remaining 7 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.
- Ushers, Lobby Attendants, and Ticket Takers (this page)38
- Shampooers38
- Makeup Artists, Theatrical and Performance39
- Exercise Trainers and Group Fitness Instructors39
Why your own number is different
Two people with the title "Ushers, Lobby Attendants, and Ticket Takers" 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 Ushers, Lobby Attendants, and Ticket Takers?
We do not answer that, because nobody can. What is measurable is how much of the work is already doable by machine: for Ushers, Lobby Attendants, and Ticket Takers, about 18% of a typical week, across 20 activities. The other 82% 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 4% of the week.
What part is least exposed?
"Clean facilities or work areas", 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.