Headline risk
9%
Low RiskUshers, lobby attendants, and ticket takers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
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.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 31,150
Employment 2024
121.7K
Projected Change (2024–34)
1.2%
Openings (2024–34)
30.8K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Greet patrons attending entertainment events. AI use: 0%
- 2. Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events. AI use: 0%
- 3. Provide assistance with patrons' special needs, such as helping those with wheelchairs. AI use: 0%
- 4. Assist patrons by giving directions to points in or outside of the facility or providing information about local attractions. AI use: 0%
- 5. Examine tickets or passes to verify authenticity, using criteria such as color or date issued. AI use: 0%
- 6. Settle seating disputes or help solve other customer concerns. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 24.3 · 224K employed
Under 25: 53% · 25–54: 32% · 55+: 16%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.