Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Locker/Dressing Attendant:
43.5%
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
AI Resilience Report forLocker Room, Coatroom, and Dressing Room Attendants
$34,800 median salary•4,200 annual openings•SOC Code: 39-3093.00
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 genuinely changing parts of the work, like handling entry verification, answering basic questions, and monitoring for theft, but the hands-on, people-focused tasks still need a real human. Smart lockers, self-service apps, and AI cameras are taking over the most repetitive duties, so attendants who only do those tasks will feel the pressure most.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is somewhat resilient
This career is labeled "Somewhat Resilient" because AI is genuinely changing parts of the work, like handling entry verification, answering basic questions, and monitoring for theft, but the hands-on, people-focused tasks still need a real human. Smart lockers, self-service apps, and AI cameras are taking over the most repetitive duties, so attendants who only do those tasks will feel the pressure most.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Locker/Dressing Attendant
Updated Quarterly
How is AI changing Locker/Dressing Attendant jobs?
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.
Sources
How fast is AI adoption growing for Locker/Dressing Attendant?
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.
Sources
Will AI replace Locker/Dressing Attendant?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 43.5% AI Resilience Score reflects a role that is genuinely feeling the pressure. Smart RFID lockers, self-service coat-check apps, and AI-powered access systems now handle credential verification, entry monitoring, and routine inquiries that attendants used to own [1]. The repetitive, transactional parts of this work are shrinking, and that trend will continue.
But the job is not disappearing. Passing out towels, managing lost-and-found, calming a frustrated guest, or keeping a space clean and welcoming are tasks that require a present, trustworthy human. Even as hotels keep investing in technology, the hospitality workforce is still growing, with properties using AI to augment attendants rather than cut them [2]. The World Travel and Tourism Council projects an 8.6 million hospitality worker shortfall by 2035 [4], which means employers need people, not fewer of them.
The economic picture is modest, not bright. Wages are low and career flexibility is limited, so this role works best as a stepping stone. If you are in it now, lean into the human skills: reliability, friendliness, and calm problem-solving. Those are the parts no algorithm is close to replacing.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Locker/Dressing Attendant
These articles provide valuable insights for students considering careers as Locker Room, Coatroom, and Dressing Room Attendants. The first article highlights a significant risk of AI replacement, with a score of 75/100, urging students to develop unique skills that AI can't replicate. Meanwhile, the second article discusses how AI is enhancing sports performance, which could lead to a growing demand for attendants who understand tech-savvy environments. Additionally, the retail-focused piece on smart fitting rooms suggests that adaptability and customer service skills will remain crucial in an AI-driven landscape. Embracing these skills can foster resilience in this career path.
Occupation Details | CareerZone | Department of Labor
careerzone.labor.ny.gov • 6/20/2026
Locker Room, Coatroom, and Dressing Room Attendants. Bright Outlook. $30,830.00. Starting NY Salary. Some Training - Certificate or hands-on training. Read more
Will AI Replace Locker Room, Coatroom, and Dressing Room ...
www.replacedbai.com • 6/20/2026
Mar 28, 2026 — Based on our analysis, Locker Room, Coatroom, and Dressing Room Attendants have a high risk of AI replacement with a score of 75/100. Many ... Read more
The Silicon Locker Room; AI's Impact on Sports Performance.
www.linkedin.com • 6/20/2026
In this article I focus first on the impact advanced hardware combined with the advancements in AI and ML will have on athlete performance. Read more
How AI Is Rewriting the Rules of Retail
netchoice.org • 6/20/2026
Oct 29, 2025 — AI's benefits aren't confined to e-commerce. In physical stores, AI can power smart fitting rooms that suggest items based on what a customer ... Read more
MWEJobs - Job Details
mwejobs.maryland.gov • 6/20/2026
May 19, 2026 — View the personal characteristics that can affect how well Locker Room, Coatroom, and Dressing Room Attendants perform ... AI Translation ... Read more
More Career Info
Career: Locker Room, Coatroom, and Dressing Room Attendants
They help people by storing and retrieving their coats, clothes, or personal items while ensuring these spaces stay clean and organized.
Parent Careers
Similar Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks.
2
Stencil identifying information on equipment.
3
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.
4
Provide assistance to patrons by performing duties such as opening doors and carrying bags.
5
Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures.
6
Activate emergency action plans and administer first aid, as necessary.
7
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.
