Clean food service areas.
Detailed work activity
Clean food service areas. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 8 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 8 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 bars, work areas, and tables. · Bartenders · importance 4.7 · no direct exposure
- Clean tables or counters after patrons have finished dining. · Waiters and Waitresses · importance 4.7 · no direct exposure
- Clean or sanitize work areas, utensils, or equipment. · Baristas · importance 4.5 · no direct exposure
- Wipe tables or seats with dampened cloths or replace dirty tablecloths. · Dining Room and Cafeteria Attendants and Bartender Helpers · importance 4.5 · no direct exposure
- Clean service or seating areas. · Baristas · importance 4.3 · no direct exposure
- Vacuum dining area and sweep and mop kitchen floor. · Food Preparation Workers · importance 4.3 · no direct exposure
- Clean and organize eating, service, and kitchen areas. · Fast Food and Counter Workers · importance 4.1 · no direct exposure
- Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors. · Dining Room and Cafeteria Attendants and Bartender Helpers · importance 3.9 · no direct exposure
Occupations that perform this
- Bartenders
- Waiters and Waitresses
- Baristas
- Dining Room and Cafeteria Attendants and Bartender Helpers
- Food Preparation Workers
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.
Cite this page
Singulariki. "Clean food service areas.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/clean-food-service-areas
Singulariki. (2026). Clean food service areas.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/clean-food-service-areas
@misc{singulariki-clean-food-service-areas,
title = {Clean food service areas.},
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-food-service-areas}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.