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Will AI replace Cooks, Short Order?

Prepare and cook to order a variety of foods that require only a short preparation time. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 35-2015.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
30%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
30%Automatable
Automatable30%
Augmentable39%
Hard to automate31%
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.
◇Clean food preparation equipment, work areas, and counters or tables.40%
⚙Restock kitchen supplies, rotate food, and stamp the time and date on food in coolers.25%
✦Human empathy and real-time de-escalation24%
✦Physical presence and relationship trust20%
▥Complete orders from steam tables, placing food on plates and serving customers at tables or counters.19%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with clean food preparation equipment, work areas, and counters or tables..
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 Cooks, Short Order.
02>AI can help with: Clean food preparation equipment, work areas, and counters or tables.
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: 30% is estimated task exposure—not a 30% chance of losing the job.
What AI can do
Clean food preparation equipment, work areas, and counters or tables.LOW MATCH
Restock kitchen supplies, rotate food, and stamp the time and date on food in coolers.LOW MATCH
Complete orders from steam tables, placing food on plates and serving customers at tables or counters.LOW MATCH
How estimates work →
Your human moat
◆

Human empathy and real-time de-escalation

MEDIUM-HIGH

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

Strength8.3
Similar-role comparison
RoleRisk
Cooks, Short Order30%
Customer Success Manager30%
Childcare Workers30%
Cooks, Restaurant29%
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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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