Clean dishes, kitchen, food preparation equipment, or utensils.
U.S. Workers
471,670
Median Salary
$33,670
10-Year Growth
+0.2%
Annual Openings
76,800
Typical entry: No formal educational credential
13 of 13 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.
Sweep or scrub floors.
AI: Fully automatable - Autonomous floor-sweeping and scrubbing robots are commercially mature and can operate reliably in many commercial environments with mapping and obstacle avoidance.
Transfer supplies or equipment between storage and work areas, by hand or using hand trucks.
AI: Fully automatable - Autonomous mobile robots and towing systems can reliably transfer supplies and equipment between storage and work areas in many real-world settings today.
Wash dishes, glassware, flatware, pots, or pans, using dishwashers or by hand.
AI: Partial - Commercial dishwashers fully automate cleaning of many items, but hand‑washing requirements for oversized pots, delicate items, and unpredictable soiling keep the task only partially automatable.
Maintain kitchen work areas, equipment, or utensils in clean and orderly condition.
AI: Partial - Robotic systems can perform specific cleaning tasks, but maintaining all kitchen areas, equipment and utensils in clean and orderly condition requires human judgment and manual interventions.
Place clean dishes, utensils, or cooking equipment in storage areas.
AI: Partial - Robotic pick‑and‑place handles uniform items in structured storage, but varied dish shapes, tight crowded storage spaces and dynamic kitchen workflows limit full automation.
Sort and remove trash, placing it in designated pickup areas.
AI: Partial - Robots can pick up and move trash in constrained, structured settings but variability in bag shapes, spills, tight spaces and social contexts makes fully autonomous performance unreliable in general.
Stock supplies, such as food or utensils, in serving stations, cupboards, refrigerators, or salad bars.
AI: Partial - Stocking diverse food items and utensils into cupboards and refrigerators requires flexible dexterous manipulation and perception in cramped spaces, so only partial automation is feasible today.
Prepare and package individual place settings.
AI: Partial - Packaging standardized place settings can be automated in assembly-line contexts, but the variability and delicate handling in kitchens make full automation limited.
Clean or prepare various foods for cooking or serving.
AI: Partial - Some food-prep tasks (e.g., slicing, peeling) are automated in controlled systems, but general-purpose cleaning and preparation of varied foods still requires human judgment and dexterity.
Receive and store supplies.
AI: Partial - Receiving (inspection, barcode/labeling) and basic transport can be automated, but flexible placement and complete verification in small-scale food-service contexts remain partially manual.
Clean garbage cans with water or steam.
AI: Partial - Dedicated can-washing machines can fully clean garbage cans in specialized facilities, but autonomous in-place can cleaning with water/steam in varied environments is not broadly automated.
Load or unload trucks that deliver or pick up food or supplies.
AI: Partial - Automated forklifts and palletizers handle standardized truck loading/unloading in warehouses, but truck-side variability, mixed small items and nonstandard pallets mean many delivery scenarios remain only partially automated.
Set up banquet tables.
AI: Partial - Setting up banquet tables requires complex spatial arrangement, handling of varied items and social coordination, so robots can assist but not fully replace humans in most venues as of 2025.