AI Automation Index

Will AI Replace Cooks, Institution and Cafeteria?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Cooks, Institution and Cafeteria. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

50% risk score

Median Salary

$37,450 / year

Growth Demand

Very High

Constituent Task Mix

We parsed O*NET's 17 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 12%
Medium Automation Risk (Cognitive/Technical) 76%
Low Automation Risk (Strategy/Leadership) 12%

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constituent Tasks

Monitor and record food temperatures to ensure food safety.

Routine cognitive or manual task with high vulnerability to automation.

Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served.

Semi-structured task combining routine and non-routine responsibilities.

Rotate and store food supplies.

Semi-structured task combining routine and non-routine responsibilities.

Wash pots, pans, dishes, utensils, or other cooking equipment.

Semi-structured task combining routine and non-routine responsibilities.

Apportion and serve food to facility residents, employees, or patrons.

Semi-structured task combining routine and non-routine responsibilities.

Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Clean, cut, and cook meat, fish, or poultry.

Semi-structured task combining routine and non-routine responsibilities.

Direct activities of one or more workers who assist in preparing and serving meals.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Train new employees.

Semi-structured task combining routine and non-routine responsibilities.

Take inventory of supplies and equipment.

Semi-structured task combining routine and non-routine responsibilities.

Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs.

Semi-structured task combining routine and non-routine responsibilities.

Bake breads, rolls, or other pastries.

Semi-structured task combining routine and non-routine responsibilities.

Monitor use of government food commodities to ensure that proper procedures are followed.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Plan menus that are varied, nutritionally balanced, and appetizing, taking advantage of foods in season and local availability.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Monitor menus and spending to ensure that meals are prepared economically.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Compile and maintain records of food use and expenditures.

Routine cognitive or manual task with high vulnerability to automation.

Determine meal prices, based on calculations of ingredient prices.

Semi-structured task combining routine and non-routine responsibilities.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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