Clean facilities or equipment.

Clean facilities or equipment. is a detailed work activity in O*NET — a concrete unit of work shared across 14 occupations and seen in 16 occupation-specific tasks. It rolls up into the broader work activity Clean tools, equipment, facilities, or work areas. in Performing General Physical Activities .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 16 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Clean and disinfect areas in which bodies are prepared and embalmed. · Embalmers · importance 4.7 · no direct exposure
• Maintain massage areas by restocking supplies or sanitizing equipment. · Massage Therapists · importance 4.5 · no direct exposure
• Clean and sanitize athletic training rooms. · Athletic Trainers · importance 4.4 · no direct exposure
• Clean facilities and equipment such as dog pens and animal control trucks. · Animal Control Workers · importance 4.3 · no direct exposure
• Clean and maintain lobby and common areas, such as restocking supplies and watering plants. · Hotel, Motel, and Resort Desk Clerks · importance 4.1 · no direct exposure
• Keep information facilities clean during operation. · Reservation and Transportation Ticket Agents and Travel Clerks · importance 4.0 · no direct exposure
• Clean machines, perform minor repairs, and report major repair needs. · Office Machine Operators, Except Computer · importance 4.0 · no direct exposure
• Clean casino areas. · Gambling Change Persons and Booth Cashiers · importance 3.9 · no direct exposure
• Clean display cases, shelves, and aisles. · Stockers and Order Fillers · importance 3.9 · no direct exposure
• Clean and maintain slot machines and surrounding areas. · First-Line Supervisors of Gambling Services Workers · importance 3.8 · no direct exposure
• Clean and maintain supplies, tools, equipment, and storage areas to ensure compliance with safety regulations. · Stockers and Order Fillers · importance 3.7 · no direct exposure
• Clean and file master copies or plates. · Office Machine Operators, Except Computer · importance 3.7 · no direct exposure
• Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses. · Weighers, Measurers, Checkers, and Samplers, Recordkeeping · importance 3.5 · no direct exposure
• Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area. · Receptionists and Information Clerks · importance 3.4 · no direct exposure
• Empty aircraft lavatory systems or refill them with sanitizer fluid. · Aircraft Service Attendants · no direct exposure
• Sweep or vacuum the cremation chamber to retrieve remains for storage in an urn or other container. · Crematory Operators · no direct exposure

Occupations that perform this

• Embalmers
• Massage Therapists
• Athletic Trainers
• Animal Control Workers
• Hotel, Motel, and Resort Desk Clerks
• Reservation and Transportation Ticket Agents and Travel Clerks
• Office Machine Operators, Except Computer
• Gambling Change Persons and Booth Cashiers
• Stockers and Order Fillers
• First-Line Supervisors of Gambling Services Workers
• Weighers, Measurers, Checkers, and Samplers, Recordkeeping
• Receptionists and Information Clerks
• Crematory Operators
• Aircraft Service Attendants

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-clean-facilities-or-equipment,
  title  = {Clean facilities or equipment.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/clean-facilities-or-equipment}
}