Somewhat Resilient

Last Update: 10/7/2026

AI Resilience Score for Food Cooking Machine Operator:

38.4%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Methodology and Scoring Rationale

To score how resilient food cooking machine operating 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 cooking machine operators, six of eight sources had data, with Anthropic and Adaptive Capacity missing. AI exposure split noticeably: Microsoft and OpenAI Signals saw strong human involvement, while Will Robots Take My Job flagged high automation risk, keeping confidence at medium. Weak hiring and pay outlooks pulled the score down, landing this role at "Somewhat Resilient."

AI Resilience Report forFood Cooking Machine Operators and Tenders

$41,590 median salary•3,700 annual openings•SOC Code: 51-3093.00

Food Cooking Machine Operators and Tenders are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career is labeled "Somewhat Resilient" because AI is genuinely changing the day-to-day work on the factory floor, automating tasks like recipe execution, ingredient control, and data logging that operators used to handle manually. The good news is that demand for workers is actually growing (the Bureau of Labor Statistics projects 5 to 35 percent job growth from 2025 to 2035, with around 36,600 openings each year), partly because plants are struggling to find enough people and are using AI to fill gaps rather than eliminate jobs.

Learn more about how you can thrive in this position

This role is somewhat resilient

This career is labeled "Somewhat Resilient" because AI is genuinely changing the day-to-day work on the factory floor, automating tasks like recipe execution, ingredient control, and data logging that operators used to handle manually. The good news is that demand for workers is actually growing (the Bureau of Labor Statistics projects 5 to 35 percent job growth from 2025 to 2035, with around 36,600 openings each year), partly because plants are struggling to find enough people and are using AI to fill gaps rather than eliminate jobs.

Read full analysis

Analysis of current AI resilience

Food Cooking Machine Operator

Updated quarterly

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Latest AI news for Food Cooking Machine Operator

These articles highlight the evolving role of Food Cooking Machine Operators and Tenders in an AI-driven landscape. With a score of 56/100 for AI exposure, the profession is experiencing transformation but remains resilient. For example, while AI can automate certain tasks, it cannot replicate the human touch and craftsmanship essential in cooking, as noted in the Escoffier Global article. Understanding these dynamics can empower students to adapt and thrive in their careers, ensuring they embrace technology while honing their unique culinary skills.

More Career Info

Career: Food Cooking Machine Operators and Tenders

They operate and monitor machines that cook food items, ensuring everything is cooked properly and safely before packaging or serving.

Employment & Wage Data

Median Wage

$41,590

Jobs (2025)

31,200

Growth (2025-35)

-0.3%

Annual Openings

3,700

Education

High school diploma or equivalent

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

58% ResilienceCore Task

Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses.

2

55% ResilienceCore Task

Pour, dump, or load prescribed quantities of ingredients or products into cooking equipment, manually or using a hoist.

3

52% ResilienceCore Task

Remove cooked material or products from equipment.

4

50% ResilienceSupplemental

Operate auxiliary machines and equipment, such as grinders, canners, and molding presses, to prepare or further process products.

5

48% ResilienceCore Task

Tend or operate and control equipment, such as kettles, cookers, vats and tanks, and boilers, to cook ingredients or prepare products for further processing.

6

45% ResilienceCore Task

Collect and examine product samples during production to test them for quality, color, content, consistency, viscosity, acidity, or specific gravity.

7

45% ResilienceSupplemental

Place products on conveyors or carts, and monitor product flow.

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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