The Task Exposure Indexv2026.Q3
Occupation · SOC 39-3093.00 · Job Zone 2

AI exposure: Locker Room, Coatroom, and Dressing Room Attendants

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

Reading this score

computed

At 27.0% of weighted task load, Locker Room, Coatroom, and Dressing Room Attendants sits at the 49th percentile, below the point where a job's centre of gravity has moved. 63.0% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.

What holds the line here is embodiment. Across this occupation's 24 tasks it averages 1.92 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or..., at 93.3%. The least is Stencil identifying information on equipment, at 0.0%. A gap of 93.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within personal care and service occupations, this one is more exposed than most. The median across the 31 roles in the group is 23.4%, and only 12 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 24 tasks, 10 are currently banded exposed, 0 assisted and 14 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability1.420-4
Embodiment1.920-3
Presence0.730-3
Accountability0.500-3
Context1.000-3
Verification cost0.650-3

Task by task

24 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments.93.3%6.7%0.0%4.03exposed
Issue gym clothes, uniforms, towels, athletic equipment, and special athletic apparel.93.3%6.7%0.0%4.02exposed
Provide or arrange for services such as clothes pressing, cleaning, or repair.86.7%13.3%0.0%4.18exposed
Answer customer inquiries or explain cost, availability, policies, and procedures of facilities.61.3%26.2%12.5%3.92exposed
Report and document safety hazards, potentially hazardous conditions, and unsafe practices and procedures.58.3%29.2%12.5%4.12exposed
Check supplies to ensure adequate availability, and order new supplies when necessary.55.0%20.0%25.0%4.20exposed
Refer guest problems or complaints to supervisors.50.0%25.0%25.0%4.42exposed
Procure beverages, food, and other items as requested.50.0%25.0%25.0%4.21exposed
Maintain inventories of clothing or uniforms, accessories, equipment, or linens.30.0%20.0%50.0%4.11exposed
Attend to needs of athletic teams in clubhouses.26.7%23.3%50.0%4.18exposed
Provide towels and sheets to clients in public baths, steam rooms, and restrooms.16.7%8.3%75.0%4.45untouched
Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained.6.7%18.3%75.0%4.07untouched
Clean facilities such as floors or locker rooms.0.0%0.0%100.0%4.62untouched
Collect soiled linen or clothing for laundering.0.0%0.0%100.0%4.42untouched
Maintain a lost-and-found collection.0.0%0.0%100.0%4.28untouched
Clean and polish footwear, using brushes, sponges, cleaning fluid, polishes, waxes, liquid or sole dressing, and daubers.0.0%0.0%100.0%4.22untouched
Provide assistance to patrons by performing duties such as opening doors or carrying bags.0.0%0.0%100.0%3.76untouched
Operate washing machines and dryers to clean soiled apparel and towels.0.0%0.0%100.0%4.44untouched
Activate emergency action plans and administer first aid, as necessary.0.0%0.0%100.0%4.24untouched
Store personal possessions for patrons, issue claim checks for articles stored, and return articles on receipt of checks.0.0%0.0%100.0%4.05untouched
Maintain or repair athletic equipment.0.0%0.0%100.0%3.94untouched
Set up various apparatus or athletic equipment.0.0%0.0%100.0%3.87untouched
Operate controls that regulate temperatures or room environments.0.0%0.0%100.0%3.79untouched
Stencil identifying information on equipment.0.0%0.0%100.0%3.69untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.