JobBreak

Food Preparation and Serving Related · United States (national)

Chefs and Head Cooks

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
26.2 of 100
AI / softwarerange 14.2 to 38.2
65.2 of 100
Physical / roboticsrange 53.2 to 77.2

When the change is likely

partial change 0y 5y 10y 15y 20+y

Partial, 5 to 10 years local demand growing

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Cooks, Private Household
It is skill-adjacent and less exposed (43.1 vs 65). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Monitor sanitation practices to ensure that employees follow standards and regulations.
100.0
Check the quality of raw or cooked food products to ensure that standards are met.
65.2
Determine production schedules and staff requirements necessary to ensure timely delivery of services.
65.2
Check the quantity and quality of received products.
100.0
Supervise or coordinate activities of cooks or workers engaged in food preparation.
100.0
Determine how food should be presented and create decorative food displays.
65.2
Analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.
65.2
Instruct cooks or other workers in the preparation, cooking, garnishing, or presentation of food.
100.0

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Monitor sanitation practices to ensure that employees follow standards and regulations.
Task: Check the quantity and quality of received products.
Local demand is growing

Lower-risk adjacent roles

Cooks, Private Household
43.1
Cooks, Short Order
49.9
Food Service Managers
51.4
Cooks, Institution and Cafeteria
51.9
Bakers
54.0
Cooks, Restaurant
55.8

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Chefs and Head Cooks to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 26.2, robotics 65.2.
  4. The timeline comes from the higher axis (65.2), shifted for local demand (growing), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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