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Will AI replace Food Servers, Nonrestaurant?

Serve food to individuals outside of a restaurant environment, such as in hotel rooms, hospital rooms, residential care facilities, or cars. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 35-3041.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
25%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
25%Automatable
Automatable25%
Augmentable41%
Hard to automate34%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Customer-Facing
Front line / Support
Modeled pay midpoint$
$81,500/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Place food servings on plates or trays according to orders or instructions.35%
✦Human empathy and real-time de-escalation26%
⚙Clean or sterilize dishes, kitchen utensils, equipment, or facilities.22%
✦Physical presence and relationship trust22%
▥Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with place food servings on plates or trays according to orders or instructions..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in human empathy and real-time de-escalation.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Food Servers, Nonrestaurant.
02>AI can help with: Place food servings on plates or trays according to orders or instructions.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Human empathy and real-time de-escalation.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 25% is estimated task exposure—not a 25% chance of losing the job.
What AI can do
Place food servings on plates or trays according to orders or instructions.LOW MATCH
Clean or sterilize dishes, kitchen utensils, equipment, or facilities.LOW MATCH
Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.LOW MATCH
How estimates work →
Your human moat
◆

Human empathy and real-time de-escalation

HIGH MOAT

Combined with physical presence and relationship trust, this keeps a human in the loop.

Strength8.8
Similar-role comparison
RoleRisk
Food Servers, Nonrestaurant25%
Gambling Service Workers, All Other25%
Health Education Specialists25%
Entertainment Attendants and Related Workers, All Other25%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is human empathy and real-time de-escalation.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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