Somewhat Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

46.0%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forFood Preparation Workers

Food Preparation Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Food preparation work is labeled "Somewhat Resilient" because while AI and robots are starting to show up in kitchens, the technology is mostly concentrated in large chains and is still too expensive and inflexible to take over most real-world kitchen environments. Systems like Sweetgreen's automated kitchen are real and do reduce the number of workers needed, so it's honest to say that some workflows are genuinely changing — this isn't a career where AI has zero impact.

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This role is somewhat resilient

Food preparation work is labeled "Somewhat Resilient" because while AI and robots are starting to show up in kitchens, the technology is mostly concentrated in large chains and is still too expensive and inflexible to take over most real-world kitchen environments. Systems like Sweetgreen's automated kitchen are real and do reduce the number of workers needed, so it's honest to say that some workflows are genuinely changing — this isn't a career where AI has zero impact.

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Analysis of Current AI Resilience

Food Preparation Workers

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Food Preparation Workers jobs?

The good news first: even though AI is moving into restaurant kitchens, most of what you do as a food prep worker is still being done by people. According to a National Restaurant Association report, about 26% of restaurant operators say they use AI tools, but the top uses are marketing and admin tasks — not chopping or cooking [1]. Where AI does show up in the back of house, it's usually as an augmenter — meaning it helps workers, not replaces them.

The Food Institute describes AI as a "kitchen manager" that prioritizes orders, predicts prep times, and optimizes labor so meals finish together [2]. True robot prep does exist, though. The Society for Hospitality and Foodservice Management notes that AI robots are helping in kitchens with repetitive tasks like chopping vegetables or flipping burgers [3], and Sweetgreen's "Infinite Kitchen" is a real example: it requires about one-third fewer workers and automates roughly 70% of the labor that used to go into assembling bowls [4].

Still, these systems are concentrated in big chains and assembly-style restaurants — not most cafeterias, schools, or independent kitchens.

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AI Adoption

How fast is AI adoption growing for Food Preparation Workers?

Adoption will likely be gradual rather than sudden. On the "push" side, restaurants face high turnover and labor costs — Nation's Restaurant News highlights operators dealing with 144% annual turnover and roughly $6,109 per replacement hire [5], which makes automation tempting. On the "pull-back" side, prep robots are expensive, hard to install in small kitchens, and can't easily handle the messy variety of real ingredients.

The U.S. Bureau of Labor Statistics projects employment of food preparation workers to decline just 3% from 2024 to 2034, with about 148,000 openings each year [6] — meaning jobs will still be plentiful. Human skills like teamwork, food safety judgment, flexibility, and helping cooks under pressure remain very hard for machines to copy, so workers who build those strengths will stay valuable even as kitchens get smarter.

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More Career Info

Career: Food Preparation Workers

They help prepare ingredients by chopping vegetables, measuring ingredients, and following recipes to ensure meals are ready for cooking in restaurants or cafeterias.

Employment & Wage Data

Median Wage

$34,220

Jobs (2024)

902,700

Growth (2024-34)

-3.4%

Annual Openings

148,000

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

87% ResilienceSupplemental

Scrape leftovers from dishes into garbage containers.

2

86% ResilienceCore Task

Make special dressings and sauces as condiments for sandwiches.

3

85% ResilienceCore Task

Receive and store food supplies, equipment, and utensils in refrigerators, cupboards, and other storage areas.

4

84% ResilienceSupplemental

Butcher and clean fowl, fish, poultry, and shellfish to prepare for cooking or serving.

5

83% ResilienceCore Task

Remove trash and clean kitchen garbage containers.

6

82% ResilienceCore Task

Store food in designated containers and storage areas to prevent spoilage.

7

82% ResilienceSupplemental

Cut, slice or grind meat, poultry, and seafood to prepare for cooking.

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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