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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Cooks, Institution and Cafeteria are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Cooks in schools, hospitals, and cafeterias are holding up well because the heart of their work — preparing safe, nutritious meals for people with real dietary needs — still requires human judgment, creativity, and care that AI simply can't replicate on its own. AI is stepping in to help with behind-the-scenes tasks like predicting how much food to order or tracking waste, which actually makes cooks' jobs easier and less stressful rather than eliminating them.
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Learn more about how you can thrive in this position
This role is mostly resilient
Cooks in schools, hospitals, and cafeterias are holding up well because the heart of their work — preparing safe, nutritious meals for people with real dietary needs — still requires human judgment, creativity, and care that AI simply can't replicate on its own. AI is stepping in to help with behind-the-scenes tasks like predicting how much food to order or tracking waste, which actually makes cooks' jobs easier and less stressful rather than eliminating them.
Read full analysisAnalysis of Current AI Resilience
Cooks, Inst. & Cafeteria
Updated Quarterly • Last Update: 5/15/2026

If you've ever wondered whether a robot might one day be flipping burgers in your school cafeteria — the answer is "sort of, but not really, yet." Most AI in institutional foodservice today augments human cooks rather than replacing them. Tools like menu-planning software, demand forecasting, and AI-powered inventory systems are helping kitchen staff cut down on food waste and paperwork. According to a guide for foodservice leaders from EHL Hospitality Insights [1], AI systems specifically deployed to categorize food waste in commercial kitchens can reduce leftovers by up to 30% within months of adoption, and AI-based sales forecasting can reduce prediction error by roughly 19%–31%, making ordering more accurate.
True kitchen-floor robotics are still rare, but a high-profile pilot launched this spring shows what's possible. The American Hospital Association profiled WellSpan York Hospital's "Fresh Take Eatery," [2] which it calls the first deployment of robotic kitchen service in a U.S. health care setting — offering scalable, continuous food service that could become a model for hospitals, colleges, and other large institutions. The system automates ingredient storage, retrieval, cooking, plating, serving, and cleaning, and can manage up to 80 fresh ingredients to produce hundreds of customizable meals such as bowls, salads, and pasta dishes.
Importantly, WellSpan's own announcement [3] notes that WellSpan dietitians were involved in menu development to support healthy eating options — humans still drive the nutrition and creativity.

Adoption is moving quickly for back-office AI but slowly for full robotic kitchens. On one hand, Nation's Restaurant News reported in March 2026 [4] that operators are turning to AI to ease an ongoing labor crunch, and The Food Institute [5] writes that 2026 is bringing "AI adoption hitting escape velocity," with pilot projects turning into system-wide rollouts, citing data that AI automation has routinely trimmed 15–50% of labor hours in targeted workflows at companies like Walmart.
On the other hand, several factors slow adoption in schools and hospitals. Equipment is expensive, school food budgets are tight, and meals must meet strict nutrition rules and food-safety regulations. The U.S. Bureau of Labor Statistics [6] projects that overall employment of cooks will grow 5 percent from 2024 to 2034, faster than the average for all occupations, with about 432,200 openings projected each year on average over the decade — meaning demand for human cooks remains strong.
As EHL's guide puts it, rather than taking jobs away, AI will change how work gets done, so roles must be reconsidered so teams can work alongside AI — automation changes who does the task, AI changes how decisions are made. The skills that stay valuable are the ones AI can't easily copy: judgment, hospitality, training newer workers, and customizing meals for students or patients with special dietary needs.

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They prepare large amounts of food in schools or hospitals, making sure meals are nutritious and taste good for students and patients.
Median Wage
$36,450
Jobs (2024)
466,100
Growth (2024-34)
+2.0%
Annual Openings
69,700
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Wash pots, pans, dishes, utensils, and other cooking equipment.
Clean, cut, and cook meat, fish, or poultry.
Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation.
Train new employees.
Bake breads, rolls, and other pastries.
Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served.
Take inventory of supplies and equipment.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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