AI JOB RISK SCANNER
O*NET-SOC 39-3093.00 / model V11 rated-task engine

Will AI replace
Locker Room, Coatroom, and Dressing Room Attendants?

Provide personal items to patrons or customers in locker rooms, dressing rooms, or coatrooms.

Estimated AI task exposure
20%

Low-Moderate exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

24 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

26/100

Physical moat

47/100

Human moat

17/100

Rating coverage

100%

24 task statements / 24 rated

Highest-weighted occupation tasks

Clean facilities such as floors or locker rooms.
Importance 90/100Relevance 94/100Frequency 78/100Weight 0.89
Collect soiled linen or clothing for laundering.
Importance 86/100Relevance 94/100Frequency 80/100Weight 0.87
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.
Importance 86/100Relevance 90/100Frequency 84/100Weight 0.87
Check supplies to ensure adequate availability, and order new supplies when necessary.
Importance 80/100Relevance 98/100Frequency 67/100Weight 0.84
Refer guest problems or complaints to supervisors.
Importance 86/100Relevance 93/100Frequency 52/100Weight 0.80
Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained.
Importance 77/100Relevance 88/100Frequency 72/100Weight 0.80
Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers.
Importance 80/100Relevance 84/100Frequency 72/100Weight 0.80
Maintain a lost-and-found collection.
Importance 82/100Relevance 83/100Frequency 64/100Weight 0.78
Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments.
Importance 76/100Relevance 75/100Frequency 70/100Weight 0.74
Maintain inventories of clothing or uniforms, accessories, equipment, or linens.
Importance 78/100Relevance 73/100Frequency 68/100Weight 0.73

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$36,300

BLS OEWS May 2025

National employment

15,560

BLS OEWS May 2025

Projected growth

+6.4%

BLS Employment Projections 2025–2035

Average annual openings

4

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

    AUGMENT

    • administrative support tasks
    • planning and documentation

    PROTECT

      LEARN

      • basic AI literacy

      AI-PROOFING RESOURCES

      What this score does not mean

      The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

      New in V11

      Find a Safer Career Path

      High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

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