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Food & Hospitality · Updated Aug 2026

Food Servers, Nonrestaurant

Serve food to individuals outside of a restaurant environment, such as in hotel rooms, hospital rooms, residential care facilities, or cars.

JVS 2.0.0-phase4b
AI Exposure
46/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
40/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence81/100
Task coverage86%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Place food servings on plates or trays according to orders or instructions.High
71
Load trays with accessories, such as eating utensils, napkins, or condiments.High
71
Take food orders and relay orders to kitchens or serving counters so they can be filled.High
70
Stock service stations with items, such as ice, napkins, or straws.High
71
Total checks, present them to customers, and accept payment for services.High
62
Record amounts and types of special food items served to customers.High
62
Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.High
31
Monitor food preparation or serving techniques to ensure that proper procedures are followed.High
32
Clean or sterilize dishes, kitchen utensils, equipment, or facilities.High
25
Carry food, silverware, or linen on trays or use carts to carry trays.High
18
Remove trays and stack dishes for return to kitchen after meals are finished.High
18
Prepare food items, such as sandwiches, salads, soups, or beverages.High
17
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Place food servings on plates or trays according to orders or instructions.71
  2. Load trays with accessories, such as eating utensils, napkins, or condiments.71
  3. Stock service stations with items, such as ice, napkins, or straws.71
  4. Take food orders and relay orders to kitchens or serving counters so they can be filled.70
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Prepare food items, such as sandwiches, salads, soups, or beverages.01
  2. Carry food, silverware, or linen on trays or use carts to carry trays.02
  3. Remove trays and stack dishes for return to kitchen after meals are finished.03
  4. Clean or sterilize dishes, kitchen utensils, equipment, or facilities.04
  5. Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency74
Physical dependency63
Adoption pressure39
Labour-market resilience64
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence81/100
CalculatedAug 21, 2026
Read methodology →