Community Sentiment
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AI Automation Index
Will AI Replace Food Servers, Nonrestaurant?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Food Servers, Nonrestaurant. Run the upskilling simulator.
AI Vulnerability
46%
risk score
Median Salary
$35,360 / year
Growth Demand
High
Constituent Task Mix
We parsed O*NET's 14 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 7%
Medium Automation Risk (Cognitive/Technical) 79%
Low Automation Risk (Strategy/Leadership) 14%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Place food servings on plates or trays according to orders or instructions.
Semi-structured task combining routine and non-routine responsibilities.
Clean or sterilize dishes, kitchen utensils, equipment, or facilities.
Semi-structured task combining routine and non-routine responsibilities.
Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Examine trays to ensure that they contain required items.
Semi-structured task combining routine and non-routine responsibilities.
Load trays with accessories, such as eating utensils, napkins, or condiments.
Semi-structured task combining routine and non-routine responsibilities.
Take food orders and relay orders to kitchens or serving counters so they can be filled.
Semi-structured task combining routine and non-routine responsibilities.
Monitor food preparation or serving techniques to ensure that proper procedures are followed.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Remove trays and stack dishes for return to kitchen after meals are finished.
Semi-structured task combining routine and non-routine responsibilities.
Carry food, silverware, or linen on trays or use carts to carry trays.
Semi-structured task combining routine and non-routine responsibilities.
Record amounts and types of special food items served to customers.
Routine cognitive or manual task with high vulnerability to automation.
Stock service stations with items, such as ice, napkins, or straws.
Semi-structured task combining routine and non-routine responsibilities.
Prepare food items, such as sandwiches, salads, soups, or beverages.
Semi-structured task combining routine and non-routine responsibilities.
Determine where patients or patrons would like to eat their meals and help them get situated.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Total checks, present them to customers, and accept payment for services.
Semi-structured task combining routine and non-routine responsibilities.
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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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