Food Preparation and Serving Related · United States (national)
Cooks, Short Order
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
AI / softwarerange 0.0 to 12.0
Physical / roboticsrange 37.9 to 61.9
When the change is likely
Partial, 5 to 10 yearslocal demand stable
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, Fast Food
It is skill-adjacent and less exposed (29.5 vs 50). 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.
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Which of my tasks are exposed
Clean food preparation equipment, work areas, and counters or tables.
49.9
Perform food preparation tasks, such as making sandwiches, carving meats, making soups or salads, baking breads or desserts, and brewing coffee or tea.
49.9
Perform general cleaning activities in kitchen and dining areas.
49.9
Restock kitchen supplies, rotate food, and stamp the time and date on food in coolers.
49.9
Grill, cook, and fry foods such as french fries, eggs, and pancakes.
49.9
Plan work on orders so that items served together are finished at the same time.
49.9
Take orders from customers and cook foods requiring short preparation times, according to customer requirements.
49.9
Grill and garnish hamburgers or other meats, such as steaks and chops.
49.9
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Clean food preparation equipment, work areas, and counters or tables.
Task: Perform food preparation tasks, such as making sandwiches, carving meats, making soups or salads, baking breads or desserts, and brewing coffee or tea.
Lower-risk adjacent roles
Cooks, Fast Food
29.5
Food Preparation Workers
44.8
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Cooks, Short Order 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 0.0, robotics 49.9.
The timeline comes from the higher axis (49.9), shifted for local demand (stable), 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.