Cooks, Institution and Cafeteria

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

AI: Fully automatable - Commercial dishwashers and emerging robotic dishwashing systems can wash most pots, pans, dishes, and utensils and can be operated/monitored by AI, making this largely automatable.

Compile and maintain records of food use and expenditures.

AI: Fully automatable - Recordkeeping of food use and expenditures is a data task that AI systems can fully automate, maintain, and report on in 2025.

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

AI: Fully automatable - AI can fully analyze menus, cost data, purchasing, and spending patterns and generate actionable recommendations and monitoring alerts to ensure economical meal preparation.

Determine meal prices, based on calculations of ingredient prices.

AI: Fully automatable - Given ingredient cost inputs and pricing rules, AI systems can calculate meal prices, apply margins and discounts, and produce finalized price lists automatically.

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

AI: Fully automatable - AI can generate varied, nutritionally balanced and appealing menus using nutrition databases, seasonal/local availability data, and recipe adaptation algorithms.

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

AI: Partial - Automated cutting and processing equipment handle some meat, fish, and poultry tasks, but variability, precision butchery, and safety checks limit full automation.

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

AI: Partial - AI-driven recipe adjustments and automated cooking appliances can handle standardized menus and portioning, but accommodating wide-ranging special dietary requirements and complex on-the-fly adaptations remains only partially automated.

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

AI: Partial - AI and sensors can detect contamination and guide or automate some cleaning and visual inspections, but physical cleaning and nuanced equipment checks still often require human intervention in 2025.

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

AI: Partial - Automated portioning and dispensing systems can handle apportioning, but serving to residents/patrons and handling variability/interaction remains partly manual.

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

AI: Partial - AI can monitor records, flag anomalies, and analyze compliance with commodity-use rules, but full assurance often requires human audits, chain-of-custody checks, and contextual judgment.

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

AI: Partial - AI can schedule, assign tasks, and provide real-time instructions, but fully replacing human supervisors for interpersonal leadership and complex on-the-fly decisions is not yet reliable.

Take inventory of supplies and equipment.

AI: Partial - Inventory can be largely automated with barcodes, RFID, and computer vision plus AI reconciliation, but gaps, exceptions, and physical verification still require human follow-up.

Bake breads, rolls, or other pastries.

AI: Partial - Industrial baking is highly automatable and AI can control processes, but flexible, small-batch, or artisanal pastry work still needs human bakers for quality and adjustments.

Train new employees.

AI: Partial - AI can deliver training content, simulations, and assessments, but hands-on mentoring, culture transfer, and complex skill evaluation remain partially human-dependent.

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

AI: Partial - AI can forecast demand, generate requisition lists and place orders via procurement systems, but human oversight is typically needed for vendor relations, exceptions, and receiving.