Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Food Preparation Workers:
45.0%
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
AI Resilience Report forFood Preparation Workers
$34,220 median salary•148,000 annual openings•SOC Code: 35-2021.00
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 AI is genuinely starting to change parts of this job, but the changes are happening slowly and unevenly across different types of kitchens. Big chain restaurants like Sweetgreen are already using automated systems that cut labor needs by around 30 to 70 percent for assembly tasks, so repetitive, predictable work is the most at risk.
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This role is somewhat resilient
Food preparation work is labeled "Somewhat Resilient" because AI is genuinely starting to change parts of this job, but the changes are happening slowly and unevenly across different types of kitchens. Big chain restaurants like Sweetgreen are already using automated systems that cut labor needs by around 30 to 70 percent for assembly tasks, so repetitive, predictable work is the most at risk.
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Analysis of Current AI Resilience
Food Preparation Workers
Updated Quarterly

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.

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.

Will AI replace Food Preparation Workers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Food prep work is changing, but it is not disappearing. Robots can already handle repetitive tasks like chopping vegetables or flipping burgers [3], and assembly-style restaurants like Sweetgreen have built systems that automate roughly 70% of bowl assembly, requiring about one-third fewer workers [4]. That is real displacement, and we will not pretend otherwise. Our 45.0% AI Resilience Score reflects that this role faces meaningful pressure.
Still, most kitchens are not Sweetgreen. About 26% of restaurant operators use AI today, and the top uses are marketing and admin, not cooking [1]. Prep robots are expensive, hard to fit into small kitchens, and struggle with the messy variety of real ingredients. The skills that hold up best against automation are the ones food prep workers already use every day: food safety judgment, flexibility under pressure, and teamwork.
The Bureau of Labor Statistics projects about 148,000 job openings per year in this field through 2034 [6], so work will still exist. The economic picture is tighter, though. Workers who build adaptable skills and learn to work alongside smarter kitchen tools will be in the best position as this role keeps evolving.
Sources

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Latest AI news for Food Preparation Workers
These articles highlight how AI is reshaping careers in food preparation. For instance, the Deloitte piece shows how AI enhances restaurant experiences, which means food workers will need to adapt to new technologies that improve efficiency and customer service. Additionally, the PMC study on food manufacturing emphasizes AI's role in optimizing production and reducing waste, suggesting that food preparation workers will need to develop skills in working alongside AI tools. Embracing these changes will help students build resilient careers in a rapidly evolving industry.
AI-driven transformation in food manufacturing - PMC - NIH
pmc.ncbi.nlm.nih.gov • 6/20/2026
by K Agrawal · 2025 · Cited by 79 — This study aims to explore the transformative role of Artificial Intelligence (AI) in food manufacturing by optimizing production, reducing waste, and ... Read more
AI - How Robots Are Transforming Food Preparation.
www.facebook.com • 6/20/2026
AI in the Kitchen: How Robots Are Transforming Food Preparation.
Role of AI in Food Safety 2026
smartfoodsafe.com • 6/20/2026
Discover how AI is transforming food safety in 2026 with predictive analytics, automated compliance, contamination detection, and smarter risk management.

The impact of artificial intelligence on the food industry
www.meer.com • 9/16/2025
Revolutionizing food production, processing, and sustainability.

How AI is revolutionizing restaurants
www.deloitte.com • 6/24/2025
Findings from the survey indicate that the industry is embracing AI, changing the way work is performed and restaurant experience is delivered.
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.
Parent Careers
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
Scrape leftovers from dishes into garbage containers.
2
Make special dressings and sauces as condiments for sandwiches.
3
Receive and store food supplies, equipment, and utensils in refrigerators, cupboards, and other storage areas.
4
Butcher and clean fowl, fish, poultry, and shellfish to prepare for cooking or serving.
5
Remove trash and clean kitchen garbage containers.
6
Store food in designated containers and storage areas to prevent spoilage.
7
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.
