Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Locker/Dressing Attendant:
50.2%
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
$36,300 median salary•4,000 annual openings•SOC Code: 39-3093.00
Locker Room, Coatroom, and Dressing Room Attendants are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career holds up well against AI because the heart of the job is physical, personal, and human. Handing someone a warm towel, polishing shoes, or greeting a guest with a friendly smile are things that robots and software simply cannot replicate in a meaningful way, and research shows that people increasingly crave that genuine human touch as technology spreads into more areas of their lives.
Learn more about how you can thrive in this position
This role is mostly resilient
This career holds up well against AI because the heart of the job is physical, personal, and human. Handing someone a warm towel, polishing shoes, or greeting a guest with a friendly smile are things that robots and software simply cannot replicate in a meaningful way, and research shows that people increasingly crave that genuine human touch as technology spreads into more areas of their lives.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Locker/Dressing Attendant
Updated Quarterly

How is AI changing Locker/Dressing Attendant jobs?
If you've ever handed your coat to someone at a concert or grabbed a towel at the gym, you know this job is very hands-on — and that's actually good news when it comes to AI. Right now, technology is mostly augmenting attendants (helping with paperwork-style tasks) rather than replacing them. On the back-office side, hotels are ditching clipboards and spreadsheets as RFID and AI bring real-time intelligence to inventory management, letting them reduce linen stock from 6+ PAR levels to 3-4 while cutting annual loss rates from 15-20% to 3-5% — the same tools that count towels can also track uniforms and rental clothing.
The Network Association of Uniform Manufacturers & Distributors [1] hosted an August 2026 industry session focused on "separating what is genuinely happening in our industry from what is [hype]," reflecting that AI adoption in uniform and garment services is still in early, cautious stages. Meanwhile, smart lockers with app reservations and biometric access are quietly handling storage tasks in gyms, and social humanoid robots debuted at HITEC 2026 [2] for guest-facing hospitality roles — although the industry frames robots as a response to labor shortages, since many hotels struggle to hire enough employees, especially guestroom attendants. The physical, human-touch parts of the job — polishing shoes, handing someone a warm towel, opening a door — remain firmly human.
Sources

How fast is AI adoption growing for Locker/Dressing Attendant?
Adoption is likely to be slow and uneven. According to O*NET's profile of the occupation [3], this role centers on customer service in physical spaces, and IFMA's 2026 guidance stresses that AI supports decision‑making, improves visibility and strengthens day‑to‑day operations rather than replacing frontline workers. Wages are also low, which weakens the business case for expensive robotics — a full smart-locker rollout still costs more than a part-time attendant in many venues.
On the guest-experience side, Fortune reports [4] that as AI spreads, people increasingly "crave genuine human" connection, giving hospitality brands a reason to keep real people at the coat check. That said, third-party trackers like Will Robots Take My Job [5] still rate this role at 68% automation risk, and BLS wage data [6] show tight margins that can pressure employers toward self-service kiosks over time. The takeaway: if you work in this field, leaning into the friendly, problem-solving, human parts — and getting comfortable with the tablet or app your employer uses — is the smartest way to stay valuable.
Sources

Will AI replace Locker/Dressing Attendant?
No. We don't think AI will replace Locker Room, Coatroom, and Dressing Room Attendants, though we do expect the job to change.
This role earns a 50.2% AI Resilience Score, and the reasons are pretty straightforward. The core of the job is physical and personal: handing someone a warm towel, polishing shoes, keeping a busy coat check running smoothly during a rush. Those moments depend on a real human being present and paying attention. As AI spreads into more corners of daily life, people increasingly crave genuine human connection [4], which gives hospitality employers a real reason to keep attendants on the floor.
Where AI is making inroads is on the back-office side. Smart lockers with app reservations and RFID inventory tools are handling some storage and tracking tasks that attendants used to manage manually. Third-party trackers do flag this occupation as carrying meaningful automation risk [5], and self-service kiosks are a real pressure in cost-sensitive venues. But wages in this field are low, which actually slows expensive robotics adoption since a full smart-locker rollout often costs more than a part-time attendant [6].
The practical advice: get comfortable with whatever app or tablet your employer uses, and lean hard into the friendly, problem-solving parts of the role that no kiosk can replicate [3].
Sources

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Latest AI news for Locker/Dressing Attendant
These articles highlight that careers as Locker Room, Coatroom, and Dressing Room Attendants are relatively resilient to AI impact, with a medium risk score of around 42/100. The Department of Labor notes a promising starting salary of $30,830 in New York, emphasizing the ongoing demand for personal interaction in these roles. Additionally, tasks performed by attendants are primarily hands-on, requiring physical presence, which AI cannot easily replicate. This suggests a hopeful outlook for students entering this field, as personal service remains essential.
AI Impact on Locker Room Attendants (42/100) - AI Job Checker
aijobchecker.com • 8/20/2026
Locker Room Attendants score 42/100 for AI replacement risk. AI impact likelihood: 42% - Medium Risk. Locker Room, Coatroom, and Dressing Room Attendants score ...
Occupation Details | CareerZone | Department of Labor - NY.gov
careerzone.labor.ny.gov • 8/20/2026
Locker Room, Coatroom, and Dressing Room Attendants Bright Outlook $30,830.00 Starting NY Salary. Provide personal items to patrons or customers in locker ...
Will AI Replace Locker Room, Coatroom, and Dressing Room ...
aitakeovertracker.com • 8/20/2026
Locker Room, Coatroom, and Dressing Room Attendants: Medium AI risk (score: 41/100, higher than 83% of occupations). Full task-by-task breakdown, ...
Locker Room Attendants: AI Job Risk & Exposure
aijobriskcheck.com • 8/20/2026
Jul 30, 2026 — Locker room, coatroom, and dressing room attendants face minimal AI exposure. Most tasks remain hands-on and require physical presence.
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
$36,300
Jobs (2025)
16,000
Growth (2025-35)
+6.4%
Annual Openings
4,000
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Attend to needs of athletic teams in clubhouses.
2
Provide assistance to patrons by performing duties such as opening doors or carrying bags.
3
Activate emergency action plans and administer first aid, as necessary.
4
Maintain or repair athletic equipment.
5
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.
6
Set up various apparatus or athletic equipment.
7
Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers.
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.
