Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Locker/Dressing Attendant:

50.2%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient locker room, coatroom, and dressing room attendant work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For locker and dressing room attendants, 7 of 8 sources had data, but they split on AI exposure: AI Resilience Model and OpenAI Signals saw the hands-on, people-facing nature as hard to automate, while Microsoft and Will Robots Take My Job rated exposure higher. That disagreement, plus a low Wage Bill, keeps confidence at medium. The role still earns "Mostly Resilient."

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

$36,300 median salary4,000 annual openingsSOC 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.

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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.

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Analysis of Current AI Resilience

Locker/Dressing Attendant

Updated Quarterly

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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Will AI replace Locker/Dressing Attendant?

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].

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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.

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

$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

93% ResilienceSupplemental

Attend to needs of athletic teams in clubhouses.

2

92% ResilienceCore Task

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

3

92% ResilienceSupplemental

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

4

92% ResilienceSupplemental

Maintain or repair athletic equipment.

5

90% ResilienceCore Task

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

6

90% ResilienceSupplemental

Set up various apparatus or athletic equipment.

7

88% ResilienceCore Task

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.

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

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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.