How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Instruct cooks or other workers in the preparation, cooking, garnishing, or presentation of food.70
- Check the quality of raw or cooked food products to ensure that standards are met.70
- Order or requisition food or other supplies needed to ensure efficient operation.70
- Prepare and cook foods of all types, either on a regular basis or for special guests or functions.70
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Monitor sanitation practices to ensure that employees follow standards and regulations.01
- Instruct cooks or other workers in the preparation, cooking, garnishing, or presentation of food.02
- Supervise or coordinate activities of cooks or workers engaged in food preparation.03
- Check the quality of raw or cooked food products to ensure that standards are met.04
- Order or requisition food or other supplies needed to ensure efficient operation.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Food Service Managers
Closely related work
Compare these careers →First-Line Supervisors of Food Preparation and Serving Workers
Related work
Compare these careers →Dietetic Technicians
Related work
Compare these careers →Food Cooking Machine Operators and Tenders
Shares some work
Compare these careers →Food Servers, Nonrestaurant
Shares some work
Compare these careers →Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
