Will AI replace Food Servers, Nonrestaurant?
AI reaches little of this job’s work.
11/100
Low exposure
More exposed to AI than 21% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 21% of the work
What the job involves
Serve food to individuals outside of a restaurant environment, such as in hotel rooms, hospital rooms, residential care facilities, or cars.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.
- Monitor food preparation or serving techniques to ensure that proper procedures are followed.
- Record amounts and types of special food items served to customers.
Out of reach(11)
- Place food servings on plates or trays according to orders or instructions.
- Examine trays to ensure that they contain required items.
- Load trays with accessories, such as eating utensils, napkins, or condiments.
- Clean or sterilize dishes, kitchen utensils, equipment, or facilities.
- Carry food, silverware, or linen on trays or use carts to carry trays.
and 6 more
Also called
Food Runner · Food Server · Room Service Server · Boat Hop · Car Attendant · Curb Attendant · Curb Hop · Curber
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