Skip to content

Federal data × LLM scoring

AI Career Stats

Cooks, Fast Food: daily tasks & AI impact

This page breaks Cooks, Fast Food into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 15/100 (Lower automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.

0 highly automatable 0 safer / physical Back to risk score Alternative careers

High-automation exposure

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Durable human work

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

Task Importance AI probability Nature
Order and take delivery of supplies. Core 4.85
Cook the exact number of items ordered by each customer, working on several different orders simultaneously. Core 4.74
Prepare specialty foods, such as pizzas, fish and chips, sandwiches, or tacos, following specific methods that usually require short preparation time. Core 4.73
Operate large-volume cooking equipment, such as grills, deep-fat fryers, or griddles. Core 4.73
Wash, cut, and prepare foods designated for cooking. Core 4.67
Prepare and serve beverages, such as coffee or fountain drinks. Core 4.65
Clean food preparation areas, cooking surfaces, and utensils. Core 4.63
Read food order slips or receive verbal instructions as to food required by patron, and prepare and cook food according to instructions. Core 4.63
Serve orders to customers at windows, counters, or tables. Core 4.59
Clean, stock, and restock workstations and display cases. Core 4.54
Maintain sanitation, health, and safety standards in work areas. Core 4.52
Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold. Core 4.5
Prepare dough, following recipe. Core 4.49
Take food and drink orders and receive payment from customers. Core 4.49
Verify that prepared food meets requirements for quality and quantity. Core 4.42

What remains human

No tasks currently fall under the safe threshold for this occupation.

FAQ

Which Cooks, Fast Food tasks are most exposed to AI?

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Which Cooks, Fast Food tasks are safest from Generative AI?

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

How should I read the Cooks, Fast Food task table?

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

Related