AI exposure by occupation, O*NET 39-3031.00

Will AI replace Ushers, Lobby Attendants, and Ticket Takers?

Ushers, Lobby Attendants, and Ticket Takers: AI can already handle 2 of 23 tasks; the work mostly needs a standard-tier model.

Have a team in this role?

Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.

Get your free 10-role sample Book a 15-minute call

Every task, scored

The 23 tasks O*NET 30.3 lists for Ushers, Lobby Attendants, and Ticket Takers, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Examine tickets or passes to verify authenticity, using criteria such as color or date issued. 80 Estimated Efficient 3.9
Verify credentials of patrons desiring entrance into press box and permit only authorized persons to enter. 80 Estimated Efficient 3.7
Greet patrons attending entertainment events. 30 Estimated Efficient 4.3
Operate refreshment stands during intermission or obtain refreshments for press box patrons during performances. 30 Estimated Standard 4.3
Count and record number of tickets collected. 30 Estimated Efficient 4.3
Lead tours and answer visitors' questions about the exhibits. 30 Estimated Efficient 4.3
Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events. 30 Estimated Standard 4.2
Clean facilities. 30 Estimated Efficient 4.1
Settle seating disputes or help solve other customer concerns. 30 Estimated Standard 4.0
Manage inventory or sale of artist merchandise. 30 Estimated Standard 4.0
Provide assistance with patrons' special needs, such as helping those with wheelchairs. 30 Estimated Efficient 3.9
Guide patrons to exits or provide other instructions or assistance in case of emergency. 30 Estimated Efficient 3.8
Refuse admittance to undesirable persons or persons without tickets or passes. 30 Estimated Efficient 3.7
Assist patrons by giving directions to points in or outside of the facility or providing information about local attractions. 30 Estimated Standard 3.7
Distribute programs to patrons. 30 Estimated Efficient 3.7
Assist patrons in finding seats, lighting the way with flashlights, if necessary. 30 Estimated Efficient 3.7
Give door checks to patrons who are temporarily leaving establishments. 30 Estimated Efficient 3.7
Search for lost articles or for parents of lost children. 30 Estimated Efficient 3.5
Manage informational kiosks or displays of event signs or posters. 30 Estimated Efficient 3.4
Work with others to change advertising displays. 30 Estimated Efficient 3.4
Page individuals wanted at the box office. 30 Estimated Efficient 3.4
Schedule or manage staff, such as volunteer usher corps. 30 Estimated Standard 3.3
Maintain order and ensure adherence to safety rules. 20 Estimated Efficient 3.7

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 23 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 23 of 23. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
121,770
Median annual wage
$32,910
Middle half of earners
$28,310 to $36,940
Projected change, 2024 to 2034
+1.2%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Ushers, Lobby Attendants, and Ticket Takers and AI

Will AI replace Ushers, Lobby Attendants, and Ticket Takers?

AI already handles 2 of the 23 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 34 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.2% from 2024 to 2034.

What is the AI exposure of Ushers, Lobby Attendants, and Ticket Takers?

34 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 23 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 23 are estimated from each task's O*NET work activity.

Which Ushers, Lobby Attendants, and Ticket Takers tasks can AI already do?

The tasks with the highest exposure are: Examine tickets or passes to verify authenticity, using criteria such as color or date issued; Verify credentials of patrons desiring entrance into press box and permit only authorized persons to enter. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Ushers, Lobby Attendants, and Ticket Takers, and what do they earn?

121,770 people in the United States, with a median annual wage of $32,910 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.2% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Ushers, Lobby Attendants, and Ticket Takers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/ushers-lobby-attendants-and-ticket-takers

Have a team in this role?

Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.

Get your free 10-role sample Book a 15-minute call

A founder replies within one business day.