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Will AI replace Fast Food and Counter Workers?

Perform duties such as taking orders and serving food and beverages. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 35-3023.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
28%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
28%Automatable
Automatable28%
Augmentable40%
Hard to automate32%
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.
◇Accept payment from customers, and make change as necessary.38%
⚙Serve customers in eating places that specialize in fast service and inexpensive carry-out food.28%
✦Human empathy and real-time de-escalation24%
✦Physical presence and relationship trust20%
▥Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper.17%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with accept payment from customers, and make change as necessary..
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 Fast Food and Counter Workers.
02>AI can help with: Accept payment from customers, and make change as necessary.
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: 28% is estimated task exposure—not a 28% chance of losing the job.
What AI can do
Accept payment from customers, and make change as necessary.LOW MATCH
Serve customers in eating places that specialize in fast service and inexpensive carry-out food.LOW MATCH
Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper.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.

Strength8.9
Similar-role comparison
RoleRisk
Fast Food and Counter Workers28%
Cooks, Fast Food28%
Cooks, All Other27%
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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Cooks, Fast Food · 28% exposureCooks, All Other · 27% exposureCooks, Restaurant · 29% exposure