Personal Care and Service · United States (national)
Locker Room, Coatroom, and Dressing Room Attendants
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is less exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 2.5 to 26.5
Physical / roboticsrange 24.7 to 48.7
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Pivot toward Passenger Attendants
It is skill-adjacent and less exposed (25.2 vs 37). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.
36.7
Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments.
36.7
Check supplies to ensure adequate availability, and order new supplies when necessary.
50.0
Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained.
36.7
Clean facilities such as floors or locker rooms.
36.7
Answer customer inquiries or explain cost, availability, policies, and procedures of facilities.
36.7
Refer guest problems or complaints to supervisors.
100.0
Maintain a lost-and-found collection.
36.7
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Refer guest problems or complaints to supervisors.
Task: Check supplies to ensure adequate availability, and order new supplies when necessary.
Local demand is growing
Lower-risk adjacent roles
Passenger Attendants
25.2
Baggage Porters and Bellhops
35.5
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Locker Room, Coatroom, and Dressing Room Attendants to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 14.5, robotics 36.7.
The timeline comes from the higher axis (36.7), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.