Somewhat Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

43.7%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forLocker Room, Coatroom, and Dressing Room Attendants

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 analysis

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Analysis of Current AI Resilience

Locker/Dressing Attendant

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

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.

Reveal More
AI Adoption

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.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

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.

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

95% ResilienceSupplemental

Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks.

2

93% ResilienceSupplemental

Stencil identifying information on equipment.

3

92% ResilienceCore Task

Provide towels and sheets to clients in public baths, steam rooms, and restrooms.

4

92% ResilienceSupplemental

Provide assistance to patrons by performing duties such as opening doors and carrying bags.

5

90% ResilienceSupplemental

Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures.

6

90% ResilienceSupplemental

Activate emergency action plans and administer first aid, as necessary.

7

90% ResilienceSupplemental

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.

AI Career Coach

© 2026 CareerVillage.org. All rights reserved.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

Built with ❤️ by Sandbox Web

The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.