How over is it?

A mood ring wired to real instruments

AI exposure Food preparation and serving

Will AI replace dining room and cafeteria attendants and bartender helpers?

Dining Room and Cafeteria Attendants and Bartender Helpers. US occupation 35-9011.

0.0%

of the time dining room and cafeteria attendants and bartender helpers spend on their work goes on tasks where AI is already being used to do that work.of dining room and cafeteria attendants and bartender helpers' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for dining room and cafeteria attendants and bartender helpersWhat dining room and cafeteria attendants and bartender helpers no longer do alone

O*NET lists 23 tasks for dining room and cafeteria attendants and bartender helpers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

23 of the 23 tasks show no AI use at work in the data.

  • Carry food, dishes, trays, or silverware from kitchens or supply departments to serving counters.Core task
  • Carry trays from food counters to tables for cafeteria patrons.Core task
  • Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors.Core task
  • Clean up spilled food or drink or broken dishes and remove empty bottles and trash.Core task
  • Fill beverage or ice dispensers.Core task
  • Greet and seat customers.Core task
Show the other 17
  • Locate items requested by customers.Core task
  • Maintain adequate supplies of items, such as clean linens, silverware, glassware, dishes, or trays.Core task
  • Perform serving, cleaning, or stocking duties in establishments, such as cafeterias or dining rooms, to facilitate customer service.Core task
  • Run cash registers.Core task
  • Scrape and stack dirty dishes and carry dishes and other tableware to kitchens for cleaning.Core task
  • Serve food to customers when waiters or waitresses need assistance.Core task
  • Serve ice water, coffee, rolls, or butter to patrons.Core task
  • Set tables with clean linens, condiments, or other supplies.Core task
  • Stock cabinets or serving areas with condiments and refill condiment containers.Core task
  • Wipe tables or seats with dampened cloths or replace dirty tablecloths.Core task
  • Carry linens to or from laundry areas.
  • Garnish foods and position them on tables to make them visible and accessible.
  • Mix and prepare flavors for mixed drinks.
  • Replenish supplies of food or equipment at steam tables or service bars.
  • Slice and pit fruit used to garnish drinks.
  • Stock refrigerating units with wines or bottled beer or replace empty beer kegs.
  • Wash glasses or other serving equipment at bars.

How that compares

Among the 15 food preparation and serving occupations, dining room and cafeteria attendants and bartender helpers rank 10. The group averages 0.9%, and its most exposed job is Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop at 7.3%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Dermatologists 0.0%
  2. 346Derrick Operators, Oil and Gas 0.0%
  3. 346Diagnostic Medical Sonographers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.