Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

63.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Cooks, Institution and Cafeteria

They prepare large amounts of food in schools or hospitals, making sure meals are nutritious and taste good for students and patients.

This role is evolving

The career of a cafeteria cook is labeled as "Evolving" because technology is beginning to change how kitchens operate. AI and robots are being used to handle repetitive tasks like dishwashing and basic food preparation, which means cooks can focus more on creative cooking and interacting with people.

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This role is evolving

The career of a cafeteria cook is labeled as "Evolving" because technology is beginning to change how kitchens operate. AI and robots are being used to handle repetitive tasks like dishwashing and basic food preparation, which means cooks can focus more on creative cooking and interacting with people.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

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Stable iconStable

78.1%

78.1%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

82.1%

82.1%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

28.6%

28.6%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

2.0%

Growth Percentile:

40.4%

Annual Openings:

69,700

Annual Openings Pct:

85.0%

Analysis of Current AI Resilience

Cooks, Inst. & Cafeteria

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Cafeteria cooks still do most work by hand, but new machines are beginning to help with the boring chores. For example, some kitchens now use robotic dishwasher systems. Dishcraft and Nala Robotics have built robots with cameras and AI “dirt detectors” that can scrape, rinse, wash and stack plates on their own [1] [2].

Other robots can flip burgers, fry foods, assemble pizzas or prepare salad bowls automatically [3]. These machines handle repetitive steps so human staff don’t have to. However, most cooking tasks remain manual.

Heavy-duty scrubbing, careful food safety checks, adjusting recipes, and menu planning still rely on people’s judgment. In fact, U.S. job data (O*NET) reports that more than half of a cafeteria cook’s activities are “not at all automated” today [4]. Cooks do use computer tools for paperwork – software like MealsPlus or even Excel can track menus, food use and costs [4] – but creative cooking, baking from scratch, and supervising a kitchen are done by chefs and assistants.

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AI Adoption

AI in the real world

Slow or modest adoption is expected in the near term. One big reason to use robots is labor pressure: many restaurants and cafeterias are challenged by worker shortages and rising wages. Experts note that tight labor markets are “forcing operators to look at automation, robots and other efficiencies” in kitchens [5].

Even hospital and school cafeterias sometimes can’t hire enough dishwashers or cooks, so robot helpers are attractive. A CNBC report notes there are about half a million dishwashers in the U.S. and “everyone is having a hard time hiring” more [1] [1]. Robots also offer consistent work – as one founder put it, “robots do not call off, robots don’t take breaks, and robots do not take vacation” [1] – which appeals to management.

Planning tools using AI can even suggest how much food to order or how to schedule staff best [6]. The goal is to help, not scare workers: for instance, one restaurant group says if robots handle dishes and fryers, then cooks and servers can spend more time engaging with diners and improving food quality [6].

At the same time, many barriers slow adoption. High upfront cost is a concern: advanced kitchen robots and smart ovens can cost tens of thousands of dollars or more, which tight school or hospital budgets often can’t spare. Food service leaders must weigh these investments against wages.

Moreover, cooking in a cafeteria often requires flexibility (for special diets, nutrition rules, etc.) that AI still can’t fully match. Some think fully automating food is tricky: as one analysis notes, “food is fundamental to life – nourishing body and soul…” [3], so machines must be handled carefully. In short, AI today mainly augments cooks (taking over the dirty work or repetitive steps) rather than replacing them.

Human skills like creativity, food-tasting, and caring for customers and colleagues remain crucial. Young cooks can be hopeful: as robots do more of the routine tasks (washing dishes, simple frying, etc.), people will still be needed to lead the kitchen, make recipes great, supervise safety, and bring warmth and flexibility to the job [6] [3].

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More Career Info

Career: Cooks, Institution and Cafeteria

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceCore Task

Take inventory of supplies and equipment.

2

70% ResilienceCore Task

Bake breads, rolls, and other pastries.

3

70% ResilienceSupplemental

Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs.

4

65% ResilienceSupplemental

Plan menus that are varied, nutritionally balanced, and appetizing, taking advantage of foods in season and local availability.

5

60% ResilienceCore Task

Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served.

6

60% ResilienceSupplemental

Monitor menus and spending to ensure that meals are prepared economically.

7

55% ResilienceCore Task

Clean, cut, and cook meat, fish, or poultry.

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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