Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for Food Preparation Workers:

49.3%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient food preparation work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For food preparation workers, seven of eight sources had data, with Anthropic missing. Exposure signals were split: AI Resilience Model and OpenAI Signals rated hands-on prep work as highly human, while Will Robots Take My Job saw more automation risk, keeping confidence at medium. Lower wages and limited mobility pulled the economic score down, landing this role at "Somewhat Resilient."

AI Resilience Report forFood Preparation Workers

$35,320 median salary135,700 annual openingsSOC Code: 35-2021.00

Food Preparation Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Food preparation work is labeled "Somewhat Resilient" because AI is already changing real workflows in kitchens, even if robots aren't fully taking over yet. Software tools for scheduling, ordering, and recipe development are spreading fast, and systems like Sweetgreen's "Infinite Kitchen" are proving that automation can handle some prep tasks at scale.

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This role is somewhat resilient

Food preparation work is labeled "Somewhat Resilient" because AI is already changing real workflows in kitchens, even if robots aren't fully taking over yet. Software tools for scheduling, ordering, and recipe development are spreading fast, and systems like Sweetgreen's "Infinite Kitchen" are proving that automation can handle some prep tasks at scale.

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Analysis of Current AI Resilience

Food Preparation Workers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Food Preparation Workers jobs?

Right now, AI in kitchens is mostly acting as a helper, not a replacement. Big foodservice companies are using generative AI to speed up behind-the-scenes work: at Sodexo, which runs 27,000 locations worldwide, chefs use AI "almost like a sous chef" to swap ingredients, cut food waste across trial recipes, and condense recipe development timelines by 50% to 60% [1]. A National Restaurant Association panel of tech leaders from Aramark, Five Guys, and Lehigh Valley Restaurant Brands highlighted optimizing food prep and reducing waste in the back of the house [2] as one of AI's biggest wins.

Industry experts also predict AI-driven kitchen managers that prioritize orders [3] based on complexity so everything finishes at once. Physical robots that actually chop, portion, or plate food are still rare. Sweetgreen's "Infinite Kitchen" conveyor system is a bright spot — it's now in 12 locations and has lowered labor and food costs while boosting sales [4] — but experiments like Kernel have failed, showing that cooking is "wickedly complicated" compared to factory work.

Tasks like measuring ingredients, stocking salad bars, and carrying supplies still rely on human hands.

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AI Adoption

How fast is AI adoption growing for Food Preparation Workers?

Adoption is speeding up mostly because of a labor crunch: 67% of U.S. operators rank rising labor costs and staffing shortages as their number-one pressure [5], according to the National Restaurant Association's 2026 report. Software AI (scheduling, ordering, recipe tools) is cheap and easy to plug in, so it's spreading fast. Kitchen robots are slower to catch on because they're expensive, unreliable with delicate food, and customers are wary — only 30% of adults said they'd like food prepared by a robot [4].

The good news for young workers: the U.S. Bureau of Labor Statistics projects about 148,000 openings each year [6] for food preparation workers through 2034, even with a small 3% decline in total jobs. Human skills — tasting, judging freshness, teamwork, and adapting on the fly — remain hard to automate, and industry voices keep repeating that AI is not replacing humans; it is augmenting them [7]. If you're entering this field, learning to work alongside smart tools will make you more valuable, not less.

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Will AI replace Food Preparation Workers?

Will AI replace Food Preparation Workers?

Not entirely. We think AI will take over some tasks, but not the whole job.

Our 49.3% AI Resilience Score reflects a real tension in this field. AI is already reshaping food prep in meaningful ways: large operators are using it to cut food waste, swap ingredients faster, and compress recipe development timelines by 50% to 60% [1]. Automated systems like Sweetgreen's conveyor kitchen have lowered labor costs and boosted sales at its locations [4]. These shifts are real and they are accelerating, partly because 67% of U.S. operators cite rising labor costs as their top pressure [5].

But cooking is genuinely complicated in ways that trip up machines. Tasting, judging freshness, adapting mid-service, and working as a team are still human strengths. Only 30% of adults said they would want food prepared by a robot [4], and failed experiments like Kernel show that kitchen automation is much harder than it looks in a factory setting.

The economic picture is the weakest part of this story. Wages and career flexibility in food prep are limited, so even if your job survives AI, growing your earning power will take deliberate effort. The practical move: learn the scheduling, ordering, and recipe tools coming into kitchens now. Workers who understand those systems will be harder to replace.

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Latest AI news for Food Preparation Workers

These articles highlight the resilience of food preparation careers in the face of AI advancements. For instance, the CBS News article notes that culinary jobs are among the most "AI-resistant," offering hope for job security. The Deloitte report reveals how AI can enhance customer experiences and streamline operations in restaurants, suggesting that food preparation workers can benefit from these innovations rather than be replaced. As AI transforms the food industry, workers can embrace new technologies to improve efficiency while focusing on creativity and personal interaction in their roles.

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

$35,320

Jobs (2025)

908,500

Growth (2025-35)

-3.0%

Annual Openings

135,700

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

80% ResilienceCore Task

Assist cooks and kitchen staff with various tasks as needed, and provide cooks with needed items.

2

75% ResilienceCore Task

Carry food supplies, equipment, and utensils to and from storage and work areas.

3

75% ResilienceSupplemental

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

4

72% ResilienceCore Task

Stock cupboards and refrigerators, and tend salad bars and buffet meals.

5

72% ResilienceSupplemental

Distribute menus to hospital patients, collect diet sheets, and deliver food trays and snacks to nursing units or directly to patients.

6

70% ResilienceCore Task

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

7

70% ResilienceCore Task

Prepare a variety of foods, such as meats, vegetables, or desserts, according to customers' orders or supervisors' instructions, following approved procedures.

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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