Community Sentiment
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AI Automation Index
Will AI Replace Cooks, Fast Food?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Cooks, Fast Food. Run the upskilling simulator.
AI Vulnerability
45%
risk score
Median Salary
$30,890 / year
Growth Demand
Very High
Constituent Task Mix
We parsed O*NET's 19 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 89%
Low Automation Risk (Strategy/Leadership) 11%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Order and take delivery of supplies.
Semi-structured task combining routine and non-routine responsibilities.
Cook the exact number of items ordered by each customer, working on several different orders simultaneously.
Semi-structured task combining routine and non-routine responsibilities.
Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time.
Semi-structured task combining routine and non-routine responsibilities.
Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles.
Semi-structured task combining routine and non-routine responsibilities.
Wash, cut, and prepare foods designated for cooking.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Prepare and serve beverages, such as coffee or fountain drinks.
Semi-structured task combining routine and non-routine responsibilities.
Clean food preparation areas, cooking surfaces, and utensils.
Semi-structured task combining routine and non-routine responsibilities.
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions.
Semi-structured task combining routine and non-routine responsibilities.
Serve orders to customers at windows, counters, or tables.
Semi-structured task combining routine and non-routine responsibilities.
Clean, stock, and restock workstations and display cases.
Semi-structured task combining routine and non-routine responsibilities.
Maintain sanitation, health, and safety standards in work areas.
Semi-structured task combining routine and non-routine responsibilities.
Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold.
Semi-structured task combining routine and non-routine responsibilities.
Prepare dough, following recipe.
Semi-structured task combining routine and non-routine responsibilities.
Take food and drink orders and receive payment from customers.
Semi-structured task combining routine and non-routine responsibilities.
Verify that prepared food meets requirements for quality and quantity.
Semi-structured task combining routine and non-routine responsibilities.
Pre-cook items, such as bacon, to prepare them for later use.
Semi-structured task combining routine and non-routine responsibilities.
Measure ingredients required for specific food items.
Semi-structured task combining routine and non-routine responsibilities.
Mix ingredients, such as pancake or waffle batters.
Semi-structured task combining routine and non-routine responsibilities.
Schedule activities and equipment use with managers, using information about daily menus to help coordinate cooking times.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
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<script src="https://giniloh.com/embed.js" async></script> 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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