Food Preparation and Serving Related · United States (national)
Cooks, Restaurant
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 a near-term shift looks unlikely.
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
AI / softwarerange 0.2 to 24.2
Physical / roboticsrange 43.8 to 67.8
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
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, Fast Food
It is skill-adjacent and less exposed (29.5 vs 56). 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.
Keep the monitor on
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Which of my tasks are exposed
Inspect and clean food preparation areas, such as equipment, work surfaces, and serving areas, to ensure safe and sanitary food-handling practices.
55.8
Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock.
55.8
Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters.
55.8
Season and cook food according to recipes or personal judgment and experience.
55.8
Turn or stir foods to ensure even cooking.
55.8
Observe and test foods to determine if they have been cooked sufficiently, using methods such as tasting, smelling, or piercing them with utensils.
55.8
Portion, arrange, and garnish food, and serve food to waiters or patrons.
55.8
Weigh, measure, and mix ingredients according to recipes or personal judgment, using various kitchen utensils and equipment.
55.8
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Inspect and clean food preparation areas, such as equipment, work surfaces, and serving areas, to ensure safe and sanitary food-handling practices.
Task: Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock.
Local demand is growing
Lower-risk adjacent roles
Cooks, Fast Food
29.5
Food Preparation Workers
44.8
Cooks, Short Order
49.9
Cooks, Institution and Cafeteria
51.9
Bakers
54.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Cooks, Restaurant to its standard O*NET task list (8 core tasks).
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.
The two axis scores are the task averages: AI 12.2, robotics 55.8.
The timeline comes from the higher axis (55.8), shifted for local demand (growing), and seniority. It is read against your remaining working years.
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.