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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.
Med
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%).
Med
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
Locker Room, Coatroom, and Dressing Room Attendants are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled "Somewhat Resilient" because AI is already handling some meaningful parts of the job — things like verifying access credentials, answering basic questions about costs and availability, and monitoring security through smart cameras — which means the role is genuinely changing, not just slightly touched by technology. The good news is that the hands-on, people-focused parts of the work, like passing out towels, helping a confused guest, or managing lost-and-found, still need a real human being.
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
This career is labeled "Somewhat Resilient" because AI is already handling some meaningful parts of the job — things like verifying access credentials, answering basic questions about costs and availability, and monitoring security through smart cameras — which means the role is genuinely changing, not just slightly touched by technology. The good news is that the hands-on, people-focused parts of the work, like passing out towels, helping a confused guest, or managing lost-and-found, still need a real human being.
Read full analysisAnalysis of Current AI Resilience
Locker/Dressing Attendant
Updated Quarterly • Last Update: 5/14/2026

If you're worried about AI taking over jobs like locker room or coatroom attendant, the honest answer is: technology is changing parts of this work, but the human side still matters. The clearest example is in fitness facilities, where AI-powered access systems now verify entry credentials instantly, track entry patterns in real time, flag unusual access times, and monitor repeated denied attempts, and where AI systems make 24/7 club access sustainable by automating verification and monitoring without needing overnight staff. AI video analytics are also being used for locker room and restricted area protection [1] to catch theft and unauthorized entry.
In hotels and spas, the American Hotel & Lodging Association's 2026 State of the Industry report [2] shows the workforce growing (about 30,000 new jobs in 2026) even as properties keep investing in technology — meaning AI is mostly being used to augment attendants rather than replace them. Smart RFID lockers, self-service coat-check apps, and chatbots now handle simple inquiries about cost, availability, and policies (the most automatable task on your list at ~65%), while Oracle reported through AHLA [3] that "AI moved from experiment to impact" in hotel operations during 2025. Tasks that require physical handling — passing out towels, organizing lost-and-found, helping a confused guest — remain firmly human.

Adoption is happening, but slowly and unevenly. On the fast side, hospitality faces a giant labor crunch: the World Travel & Tourism Council projects an 8.6 million hospitality worker shortfall by 2035 [4], and some employers are turning to AI tools to help plug unfilled positions. That same report notes that low-skilled roles and positions that require human interaction that cannot be easily automated will remain in high demand — good news for attendants.
The World Economic Forum's Future of Jobs Report 2025 [5] found that 86% of surveyed companies expect AI to transform their business by 2030, pushing facility owners to experiment. On the slow side, the work is low-wage and physical, so installing smart-locker hardware or robots often costs more than just hiring people; small gyms and clubs especially can't afford it. There are also privacy and legal concerns about AI cameras in changing areas.
And cleaning-industry leaders at the ISSA Show North America 2025 [6] (which now includes the International Executive Housekeepers Association) emphasize that workforce shortages and human skills — not just tech — are central to the industry's future. The bottom line for young people: the routine, repetitive parts of this job will keep shrinking, but friendliness, problem-solving, and trustworthy human service are skills no algorithm can fully replicate.

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They help people by storing and retrieving their coats, clothes, or personal items while ensuring these spaces stay clean and organized.
Median Wage
$34,800
Jobs (2024)
15,600
Growth (2024-34)
+6.4%
Annual Openings
4,200
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks.
Stencil identifying information on equipment.
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.
Provide assistance to patrons by performing duties such as opening doors and carrying bags.
Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures.
Activate emergency action plans and administer first aid, as necessary.
Provide or arrange for services such as clothes pressing, cleaning, and repair.
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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