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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Ushers, Lobby Attendants, and Ticket Takers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
AI is already taking over the most automatable part of this job — scanning tickets — with facial recognition technology now used at Disney parks, major sports stadiums, and college venues across the country. That's a real change, and it means the job is shifting rather than staying the same.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
AI is already taking over the most automatable part of this job — scanning tickets — with facial recognition technology now used at Disney parks, major sports stadiums, and college venues across the country. That's a real change, and it means the job is shifting rather than staying the same.
Read full analysisAnalysis of Current AI Resilience
Ushers & Ticket Takers
Updated Quarterly • Last Update: 5/14/2026

If you've been to a baseball game, a Disney park, or a big concert recently, you may have noticed something new at the gates: a camera scanning your face instead of a person scanning your ticket. That's the biggest AI-related change hitting this career right now. According to Sportico's reporting on biometrics in sports [1], facial authentication provider Wicket now supports more than 50 pro teams across the NFL, NBA, NHL, MLB, MLS, NWSL, WNBA and Australian Football League, plus golf and tennis tournaments, with face-based ticketing reaching schools like Ohio State and the University of Florida in 2025.
Fortune reported in April 2026 [2] that Disneyland expanded facial-recognition technology at entrances to Disneyland Park and Disney California Adventure after months of testing, though guests who don't want it can still enter through non-facial-recognition lanes where a cast member manually validates the ticket.
So the ticket-checking task — the most automatable part of the job — is genuinely being handed off to AI cameras. But notice that Disney still keeps humans on hand for manual checks, accessibility help, and questions. The International Association of Venue Managers' SES preview [3] describes how AI is being used to personalize guest experiences, streamline ticketing and crowd management, optimize staffing, and power surveillance and predictive analytics for safety — meaning much of today's deployment augments staff (helping lines move faster, flagging trouble) rather than fully replacing them.

Adoption is moving fast for ticket scanning specifically because the tech is commercially available, plug-and-play, and venues are desperate for labor. The Ticket Fairy's 2026 venue staffing report [4] notes that automation like self-scan ticket gates, cashless systems, smart scheduling software, and AI monitoring can streamline operations and alleviate pressure on lean teams without sacrificing service or safety, and points out that hospitality turnover runs 70–80% annually — so operators have strong incentives to lean on technology. Biometric Update reported [5] that MLB's Go-Ahead Entry program keeps expanding to new parks because it speeds up admission.
But several things slow full replacement. Privacy backlash is real: Fortune found [2] that visitors told the LA Times the system felt "a little scary," and parents said they felt uneasy when it was used on their young children. Customer-service AI also still struggles with messy human situations — Forrester predicted in late 2025 [6] that AI's biggest 2026 wins in service would be unglamorous back-office work, not full agent replacement.
And tasks like guiding wheelchair users, calming upset fans, and refusing entry safely are exactly the human skills — empathy, judgment, de-escalation — that machines still can't match. If you work in this field, leaning into hospitality, accessibility, and live problem-solving is your edge.

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They assist guests at events by checking tickets, showing them to their seats, and answering questions to ensure everyone has a good experience.
Median Wage
$31,150
Jobs (2024)
121,700
Growth (2024-34)
+1.2%
Annual Openings
30,800
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Refuse admittance to undesirable persons or persons without tickets or passes.
Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events.
Provide assistance with patrons' special needs, such as helping those with wheelchairs.
Guide patrons to exits or provide other instructions or assistance in case of emergency.
Search for lost articles or for parents of lost children.
Maintain order and ensure adherence to safety rules.
Greet patrons attending entertainment events.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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