Prepare and cook food in a fast food restaurant with a limited menu. Duties of these cooks are limited to preparation of a few basic items and normally involve operating large-volume single-purpose cooking equipment.
U.S. Workers
668,230
Median Salary
$30,160
10-Year Growth
-13.5%
Annual Openings
82,100
Typical entry: No formal educational credential
19 of 19 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Verify that prepared food meets requirements for quality and quantity.
AI: Fully automatable - Computer vision, temperature sensors, and scales can reliably verify portion sizes, appearance, and holding temperatures against standards, enabling full automated checks for quality and quantity in standardized fast-food items.
Measure ingredients required for specific food items being prepared.
AI: Fully automatable - Automated dispensers, portion-control devices and scales under AI control can accurately measure ingredients for standardized menu items, enabling full automation of measurement tasks.
Take food and drink orders and receive payment from customers.
AI: Fully automatable - Ordering and payment are widely automated through kiosks, mobile apps, and AI voice agents integrated with POS and payment processors, so this task can be fully automated.
Prepare and serve beverages, such as coffee or fountain drinks.
AI: Fully automatable - Specialty coffee machines and automated beverage dispensers already prepare and serve drinks reliably without human intervention.
Pre-cook items, such as bacon, to prepare them for later use.
AI: Fully automatable - Programmable ovens and batch cooking equipment can pre-cook items like bacon consistently for later use.
Mix ingredients, such as pancake or waffle batters.
AI: Fully automatable - Automated kitchen equipment and robotic systems can reliably mix batters and perform routine food-prep tasks, enabling full automation of this task.
Schedule activities and equipment use with managers, using information about daily menus to help coordinate cooking times.
AI: Fully automatable - Scheduling software and AI planners can coordinate activities and equipment using menu and timing data, enabling automated scheduling in operational settings.
Prepare dough, following recipe.
AI: Fully automatable - Industrial mixers and dough-making machines can follow recipes and produce dough without human intervention.
Maintain sanitation, health, and safety standards in work areas.
AI: Partial - AI systems can monitor sanitation via sensors, cameras, and checklists and enforce protocols, but physical cleaning and nuanced safety judgments still require human or robotic action and oversight in most fast-food settings.
Clean food preparation areas, cooking surfaces, and utensils.
AI: Partial - Automated dishwashers and some cleaning robots exist and AI can schedule/guide cleaning, but generalized cleaning of preparation surfaces and utensils in fast-food kitchens is only partially automated and often needs human intervention.
Cook and package batches of food, such as hamburgers or fried chicken, which are prepared to order or kept warm until sold.
AI: Partial - AI-driven cooking/packaging robots exist for specific items (e.g., burgers, fries) but broad, flexible end-to-end cooking and packaging for all orders is only partially automated and still requires human involvement in most venues.
Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time.
AI: Partial - Specialty-food assembly has seen robotic solutions (pizza robots, sandwich makers) but variability and short-prep manual techniques mean AI automation is partial rather than fully general-purpose by 2025.
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions.
AI: Partial - AI can fully parse written or verbal orders, but executing the physical preparation and cooking per those instructions is only partially automated in typical fast-food environments.
Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles.
AI: Partial - AI can control and optimize large-volume equipment (temps, timers, safety interlocks), but safe, adaptive operation and handling exceptions still commonly require human operators.
Clean, stock, and restock workstations and display cases.
AI: Partial - AI can manage inventory, predict restocking needs, and direct robotic or human agents, but the physical cleaning, stocking and restocking of workstations and displays remains only partially automated in most fast-food contexts.
Cook the exact number of items ordered by each customer, working on several different orders simultaneously.
AI: Partial - Robotic cooking systems and automated order-management can handle standardized multi-order workflows in constrained settings, but the variability and fine synchronization required in typical fast-food environments prevent full automation by 2025.
Wash, cut, and prepare foods designated for cooking.
AI: Partial - Automated washers and specialized cutting machines perform repetitive prep tasks, but complex, variable produce handling and sanitation checks still require human oversight.
Serve orders to customers at windows, counters, or tables.
AI: Partial - Kiosks, pickup lockers, and delivery robots can serve many orders, yet dynamic counter service and customer interactions mean serving remains only partially automatable.
Order and take delivery of supplies.
AI: Partial - Procurement systems can fully automate ordering, but physical receipt, inspection, and stocking of deliveries still require humans or specialized robotics, so the end-to-end process is only partially automated.