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AI Automation Index
Will AI Replace Ushers, Lobby Attendants, and Ticket Takers?
Task-level automation exposure for Ushers, Lobby Attendants, and Ticket Takers: 23 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
40%
weighted task index
23 of 23 tasks scored
Median Salary
$32,910 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
121,770 people hold this job — size, not growth
Projected 2025–35
+0.9%
employment change
27,300 openings a year · BLS line item
Pay by state
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$20,860 – $41,010
Highest medians
Washington $41,010
Colorado $38,380
District of Columbia $37,930
California $37,870
New York $37,110
Lowest medians
Guam $20,860
Mississippi $21,570
Puerto Rico $21,840
Alabama $22,360
West Virginia $23,400
State figures come from the 39-3031 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 40%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 17%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 29%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 4%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 14/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
23 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 25%
6 tasks
Medium exposure (≥ 35%) 36%
9 tasks
Low exposure (below 35%) 39%
8 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 08/2026 · Incumbent
Provide food and beverages to customers.
Constituent Tasks
#20764 · Core · 32% automatable
Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events.
interpersonal — Closing sales requires persuasion and accountability
Sell products or services.
#20765 · Core · 5% automatable
Clean facilities.
physical manipulation — Physical cleaning of facilities and work areas
Clean facilities or work areas.
#5100 · Core · 10% automatable
Provide assistance with patrons' special needs, such as helping those with wheelchairs.
physical manipulation — Hands-on support for special-needs individuals
Assist individuals with special needs.
#5099 · Core · 35% automatable
Maintain order and ensure adherence to safety rules.
situated mobility — Physical environment safety monitoring needs on-site sensing
Monitor environment to ensure safety.
#5097 · Core · 70% automatable
Examine tickets or passes to verify authenticity, using criteria such as color or date issued.
information retrieval — Credential verification via databases, human handles exceptions
Verify patron or staff credentials.
#5102 · Core · 70% automatable
Refuse admittance to undesirable persons or persons without tickets or passes.
information retrieval — Credential verification via databases, human handles exceptions
Verify patron or staff credentials.
#5098 · Core · 5% automatable
Guide patrons to exits or provide other instructions or assistance in case of emergency.
situated mobility — Physically guiding people through crowded spaces
Usher patrons to seats or exits.
#5096 · Core · 15% automatable
Greet patrons attending entertainment events.
interpersonal — Physical presence greeting customers
Greet customers, patrons, or visitors.
#5105 · Core · 55% automatable
Search for lost articles or for parents of lost children.
interpersonal — Drafting responses easy; live de-escalation is human
Respond to customer problems or complaints.
#5103 · Core · 38% automatable
Settle seating disputes or help solve other customer concerns.
interpersonal — Complaint resolution needs authority and rapport
Mediate disputes. Resolve customer complaints or problems.
#20766 · Core · 45% automatable
Assist patrons by giving directions to points in or outside of the facility or providing information about local attractions.
interpersonal — In-person directions need situated human presence
Provide patrons with directions to locales or attractions.
#5107 · Supplemental · 32% automatable
Operate refreshment stands during intermission or obtain refreshments for press box patrons during performances.
interpersonal — Closing sales requires persuasion and accountability
Sell products or services.
#5108 · Supplemental · 70% automatable
Verify credentials of patrons desiring entrance into press box and permit only authorized persons to enter.
information retrieval — Credential verification via databases, human handles exceptions
Verify patron or staff credentials.
#5106 · Supplemental · 80% automatable
Count and record number of tickets collected.
text generation — Prepare operational reports from data
Prepare operational reports or records.
#20767 · Supplemental · 50% automatable
Lead tours and answer visitors' questions about the exhibits.
information retrieval — Event info retrieval assisted; patron interaction human
Provide attraction or event information to patrons.
#5112 · Supplemental · 52% automatable
Manage inventory or sale of artist merchandise.
data analysis — Supply inventory tracking and reorder largely automatable
Sell products or services. Maintain supply or equipment inventories.
#5104 · Supplemental · 5% automatable
Assist patrons in finding seats, lighting the way with flashlights, if necessary.
situated mobility — Physically guiding people through crowded spaces
Usher patrons to seats or exits.
#20768 · Supplemental · 48% automatable
Schedule or manage staff, such as volunteer usher corps.
decision support — Assignments drafted; accountability and negotiation human
Assign duties or work schedules to employees. Supervise service workers.
#5115 · Supplemental · 70% automatable
Page individuals wanted at the box office.
text generation — Routine customer notifications largely automatable
Provide notifications to customers or patrons.
#5114 · Supplemental · 6% automatable
Manage informational kiosks or displays of event signs or posters.
physical manipulation — Arranging props is physical placement work
Arrange artwork, products, or props.
#5113 · Supplemental · 62% automatable
Give door checks to patrons who are temporarily leaving establishments.
interpersonal — Routine inquiries answerable; nuanced cases need human
Respond to customer inquiries.
#5111 · Supplemental · 52% automatable
Work with others to change advertising displays.
interpersonal — Iterative design collaboration needs human judgment and presence
Collaborate with others to develop or refine designs.
#5109 · Supplemental · 50% automatable
Distribute programs to patrons.
information retrieval — Event info retrieval assisted; patron interaction human
Provide attraction or event information to patrons.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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