AI exposure by occupation, O*NET 39-3093.00
Will AI replace Locker Room, Coatroom, and Dressing Room Attendants?
Locker Room, Coatroom, and Dressing Room Attendants: AI can already handle 17 of 23 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 23 tasks O*NET 30.3 lists for Locker Room, Coatroom, and Dressing Room Attendants, from most to least exposed. 17 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Answer customer inquiries or explain cost, availability, policies, and procedures of facilities. | Observed | Frontier | |
| Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers. | Estimated | Efficient | |
| Provide towels and sheets to clients in public baths, steam rooms, and restrooms. | Estimated | Frontier | |
| Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments. | Estimated | Frontier | |
| Check supplies to ensure adequate availability, and order new supplies when necessary. | Estimated | Frontier | |
| Clean facilities such as floors or locker rooms. | Estimated | Efficient | |
| Procure beverages, food, and other items as requested. | Estimated | Frontier | |
| Collect soiled linen or clothing for laundering. | Estimated | Efficient | |
| Refer guest problems or complaints to supervisors. | Estimated | Efficient | |
| Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks. | Estimated | Efficient | |
| Operate washing machines and dryers to clean soiled apparel and towels. | Estimated | Efficient | |
| Attend to needs of athletic teams in clubhouses. | Estimated | Efficient | |
| Operate controls that regulate temperatures or room environments. | Estimated | Efficient | |
| Issue gym clothes, uniforms, towels, athletic equipment, and special athletic apparel. | Estimated | Frontier | |
| Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures. | Estimated | Efficient | |
| Stencil identifying information on equipment. | Estimated | Standard | |
| Set up various apparatus or athletic equipment. | Estimated | Efficient | |
| Activate emergency action plans and administer first aid, as necessary. | Estimated | Efficient | |
| Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained. | Estimated | Efficient | |
| Maintain inventories of clothing or uniforms, accessories, equipment, or linens. | Estimated | Standard | |
| Maintain a lost-and-found collection. | Estimated | Efficient | |
| Provide or arrange for services such as clothes pressing, cleaning, or repair. | Estimated | Efficient | |
| Provide assistance to patrons by performing duties such as opening doors or carrying bags. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 23 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 22 of 23. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 96% of the role's importance-weighted task work. 96% of the work is something AI can address at some tier, and 4% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 15,560
- Median annual wage
- $36,300
- Middle half of earners
- $31,200 to $43,880
- Projected change, 2024 to 2034
- +6.4%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Costume Attendants 66% skill overlap, about 12 months to move Exposure62
- Amusement and Recreation Attendants 64% skill overlap, about 13 months to move Exposure58
- Janitors and Cleaners, Except Maids and Housekeeping Cleaners 60% skill overlap, about 15 months to move Exposure14
- Dining Room and Cafeteria Attendants and Bartender Helpers 60% skill overlap, about 15 months to move Exposure16
- Ushers, Lobby Attendants, and Ticket Takers 59% skill overlap, about 15 months to move Exposure34
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Locker Room, Coatroom, and Dressing Room Attendants and AI
Will AI replace Locker Room, Coatroom, and Dressing Room Attendants?
AI already handles 17 of the 23 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 63 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +6.4% from 2024 to 2034.
What is the AI exposure of Locker Room, Coatroom, and Dressing Room Attendants?
63 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 23 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 22 are estimated from each task's O*NET work activity.
Which Locker Room, Coatroom, and Dressing Room Attendants tasks can AI already do?
The tasks with the highest exposure are: Answer customer inquiries or explain cost, availability, policies, and procedures of facilities; Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers; Provide towels and sheets to clients in public baths, steam rooms, and restrooms. They are three of the 17 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 96% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Locker Room, Coatroom, and Dressing Room Attendants, and what do they earn?
15,560 people in the United States, with a median annual wage of $36,300 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +6.4% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Locker Room, Coatroom, and Dressing Room Attendants. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/locker-room-coatroom-and-dressing-room-attendants
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