Will cafeteria cooks be replaced by AI?
Updated
Cafeteria cooks score 25 of 100 for AI exposure. 56% of their task time still needs a person. AI can do 16% today and speed up another 28%.
- 16% AI can do it
- 28% AI helps
- 56% Needs a person
Low exposure
Lower than 71% of the 923 occupations we scored.
Task by task
We graded 17 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 5 and leaves 8 to people.
| Task | AI exposure |
|---|---|
| Compile and maintain records of food use and expenditures. Routine digital record keeping of food use and costs. | 80% AI can do it |
| Determine meal prices, based on calculations of ingredient prices. Price math from ingredient costs is easily done by AI. | 70% AI can do it |
| Plan menus that are varied, nutritionally balanced, and appetizing, taking advantage of foods in season and local availability. LLMs can draft seasonal, balanced menus; dietitians should approve. | 65% AI can do it |
| Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs. Forecasting and ordering tools draft requisitions; staff approve them. | 60% AI can do it |
| Monitor menus and spending to ensure that meals are prepared economically. Spreadsheet tools can flag overspending; manager reviews the findings. | 55% AI helps |
| Monitor use of government food commodities to ensure that proper procedures are followed. AI can check commodity records against rules; staff verify. | 50% AI helps |
| Monitor and record food temperatures to ensure food safety. Sensor logs automate records; staff still probe and verify food. | 45% AI helps |
| Take inventory of supplies and equipment. Counts are physical, but digital stock logs can speed records. | 40% AI helps |
| Train new employees. AI drafts training materials; kitchen teaching stays in person. | 30% AI helps |
| Direct activities of one or more workers who assist in preparing and serving meals. Supervising people on the floor needs live judgement and presence. | 15% Needs a person |
Show the other 7 tasks
| Task | AI exposure |
|---|---|
| Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served. Physical cooking needs staff; AI only helps scale recipes. | 12% Needs a person |
| Bake breads, rolls, or other pastries. Baking is physical work; AI only helps adjust recipe quantities. | 10% Needs a person |
| Rotate and store food supplies. Physical storage and rotation done by staff on site. | 8% Needs a person |
| Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation. Physical cleaning; AI can only digitize inspection checklists. | 8% Needs a person |
| Apportion and serve food to facility residents, employees, or patrons. In person serving to people; no meaningful AI substitute. | 6% Needs a person |
| Clean, cut, and cook meat, fish, or poultry. Knife work and meat handling are physical tasks requiring skill. | 5% Needs a person |
| Wash pots, pans, dishes, utensils, or other cooking equipment. Dishwashing machines help, but scrubbing and loading is physical. | 4% Needs a person |
How cafeteria cooks compare
All occupations (923)
Food preparation and serving (16)
Pay and outlook in the US
- Median pay
- $37,450 a year, May 2025
- People employed
- 441,050 in the US, May 2025
- Projected change in jobs
- +2.8% from 2024 to 2034
Skills to build
- Check nutrition values in GNOME Gnutrition before menus go out
- Run food cost reports in Meals Plus and Microsoft Excel
- Log food use and costs in PCS FASTRAK School Meal Software
- Monitor government commodity records against program procedures in Excel
- Knife work on meat, fish, and poultry for daily service
- Bake breads, rolls, and pastries from scratch for daily service
Safer roles nearby
5 related occupations with lower scores.
Questions about cafeteria cooks and AI
Will AI replace cafeteria cooks?
Partly. About 3 in 10 working hours go to tasks AI can already do, mostly keeping records of food use and costs and working out meal prices from ingredient costs. Cooking, cutting meat, serving, cleaning, and baking stay with people because they need hands in a kitchen.
Which cafeteria cook tasks is AI taking over?
Record keeping of food use and expenditures has the highest exposure score at 80, so software can log usage and spending automatically. Meal price math from ingredient costs scores 70, and menu drafting scores 65 when a dietitian approves the result.
Which cafeteria cook tasks stay human?
Washing pots, pans, and utensils scores 4 on exposure, and cleaning, cutting, and cooking meat, fish, or poultry scores 5, because both need physical handling in a kitchen. Serving food to residents and staff in person scores 6, since a person has to hand food across the line.
How can cafeteria cooks stay valuable?
Check AI-drafted menus in GNOME Gnutrition for nutrition values before they reach the line. Run cost reports in Meals Plus and Excel yourself, so you spot overspending before a manager does. Keep knife work, baking, and serving skills, since those tasks scored lowest for AI exposure.
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