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AI Automation Index
Will AI Replace Locker Room, Coatroom, and Dressing Room Attendants?
Task-level automation exposure for Locker Room, Coatroom, and Dressing Room Attendants: 24 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
32%
weighted task index
24 of 24 tasks scored
Median Salary
$36,300 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
15,560 people hold this job — size, not growth
Projected 2025–35
+6.4%
employment change
4,000 openings a year · BLS line item
Pay by state
BLS OEWS publishes 38 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$21,590 – $51,100
Highest medians
Hawaii $51,100
District of Columbia $50,440
Montana $50,370
Washington $47,500
California $46,560
Lowest medians
Oklahoma $21,590
Utah $23,660
Iowa $23,720
Indiana $26,320
Alaska $26,350
State figures come from the 39-3093 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 32%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 41%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 9%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 4%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 10/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
24 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 20%
5 tasks
Medium exposure (≥ 35%) 27%
6 tasks
Low exposure (below 35%) 52%
13 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#20134 · Core · 5% automatable
Clean facilities such as floors or locker rooms.
physical manipulation — Physical cleaning of facilities and work areas
Clean facilities or work areas.
#4476 · Core · 28% automatable
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.
physical manipulation — Hands-on distribution of resources to people
Distribute resources to patrons or employees.
#4477 · Core · 10% automatable
Collect soiled linen or clothing for laundering.
physical manipulation — Housekeeping is physical labor in varied spaces
Perform housekeeping duties.
#4468 · Core · 45% automatable
Refer guest problems or complaints to supervisors.
interpersonal — Complaint resolution needs authority and rapport
Resolve customer complaints or problems.
#4484 · Core · 10% automatable
Maintain a lost-and-found collection.
physical manipulation — Physically placing and storing items
Store items.
#4469 · Core · 8% automatable
Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers.
physical manipulation — Manual cleaning of fabrics with unpredictable materials
Clean fabrics or apparel.
#4467 · Core · 55% automatable
Check supplies to ensure adequate availability, and order new supplies when necessary.
information retrieval — Digital tracking automatable; physical stock checks need humans
Monitor availability of equipment or supplies.
#4470 · Core · 68% automatable
Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures.
text generation — Prepare operational reports from data
Prepare operational reports or records. Communicate with management or other staff to resolve problems.
#4482 · Core · 72% automatable
Maintain inventories of clothing or uniforms, accessories, equipment, or linens.
data analysis — Supply inventory tracking and reorder largely automatable
Maintain supply or equipment inventories.
#4472 · Core · 35% automatable
Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained.
situated mobility — Requires live observation of patrons in physical space
Monitor patron activities to identify problems or potential problems.
#4465 · Core · 45% automatable
Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments.
decision support — Scheduling/allocation logic helps; human resolves conflicts
Assign resources or facilities to patrons or employees.
#4483 · Core · 45% automatable
Issue gym clothes, uniforms, towels, athletic equipment, and special athletic apparel.
decision support — Scheduling/allocation logic helps; human resolves conflicts
Assign resources or facilities to patrons or employees.
#4466 · Core · 62% automatable
Answer customer inquiries or explain cost, availability, policies, and procedures of facilities.
information retrieval — AI explains policies; human handles live questions
Explain regulations, policies, or procedures. Respond to customer inquiries.
#4480 · Core · 8% automatable
Provide assistance to patrons by performing duties such as opening doors or carrying bags.
physical manipulation — Hands-on handling of patron luggage
Handle luggage or other possessions for patrons.
#4471 · Supplemental · 8% automatable
Operate washing machines and dryers to clean soiled apparel and towels.
physical manipulation — Manual cleaning of fabrics with unpredictable materials
Clean fabrics or apparel.
#4474 · Supplemental · 5% automatable
Activate emergency action plans and administer first aid, as necessary.
physical manipulation — Administering first aid requires physical intervention
Administer first aid.
#4473 · Supplemental · 60% automatable
Procure beverages, food, and other items as requested.
decision support — Purchase research automatable; human authorizes spend
Purchase products or services.
#4486 · Supplemental · 78% automatable
Provide or arrange for services such as clothes pressing, cleaning, or repair.
information retrieval — Arranging reservations and services via tools
Arrange services or reservations for patrons.
#4479 · Supplemental · 50% automatable
Attend to needs of athletic teams in clubhouses.
decision support — Resource navigation aided by AI; human owns case
Help clients get needed services or resources.
#4475 · Supplemental · 8% automatable
Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks.
physical manipulation — Hands-on handling of patron luggage
Handle luggage or other possessions for patrons.
#24045 · Supplemental · 13% automatable
Maintain or repair athletic equipment.
physical manipulation — Basic equipment maintenance requires hands-on work
Perform basic equipment maintenance. Replace worn equipment components.
#4485 · Supplemental · 5% automatable
Set up various apparatus or athletic equipment.
physical manipulation — Hands-on mechanical setup
Set up mechanical equipment.
#4478 · Supplemental · 15% automatable
Operate controls that regulate temperatures or room environments.
physical manipulation — Facility upkeep is hands-on physical work
Maintain facilities.
#4481 · Supplemental · 12% automatable
Stencil identifying information on equipment.
physical manipulation — Physically marking objects requires manipulation
Mark materials or objects for identification.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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