Will AI replace Dining Room and Cafeteria Attendants and Bartender Helpers?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Facilitate food service. Clean tables; remove dirty dishes; replace soiled table linens; set tables; replenish supply of clean linens, silverware, glassware, and dishes; supply service bar with food; and serve items such as water, condiments, and coffee to patrons.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Out of reach(23)
- Wipe tables or seats with dampened cloths or replace dirty tablecloths.
- Clean up spilled food or drink or broken dishes and remove empty bottles and trash.
- Maintain adequate supplies of items, such as clean linens, silverware, glassware, dishes, or trays.
- Locate items requested by customers.
- Set tables with clean linens, condiments, or other supplies.
and 18 more
Also called
Barback · Buffet Attendant · Busser · Dining Room Attendant · Bar Back · Cafeteria Attendant · Bus Person · Cafeteria Worker
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics