Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Food Cooking Machine Operator:
38.4%
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%).
Low
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 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.
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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.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Food Cooking Machine Operator
Updated Quarterly
How is AI changing Food Cooking Machine Operator jobs?
If you run a machine that cooks food in a factory, AI is showing up more as a smart helper than a replacement. In batch cooking, today's control systems supplemented with AI and machine learning make perfecting a batch and reproducing it every time much easier than the trial and error of the past [1], and AI now handles smarter recipe execution, adaptive setpoint control, precise ingredient management, and predictive maintenance — many of the "read the recipe, set the controls, log the data" tasks in your job description. At one frozen french-fry plant, an AI-driven refrigeration system boosted energy efficiency by 17% and saved about $130,000 per site each year [2] by ranking equipment choices in real time — something human operators simply can't do second-by-second.
But humans still matter: the Institute of Food Technologists reports that AI strengthens decision-making, but human judgment, accountability, and follow-through remain essential to safe outcomes [3].
Sources
How fast is AI adoption growing for Food Cooking Machine Operator?
Adoption is speeding up mostly because plants can't find enough people. Automation in food is mostly backfilling work that can't be staffed, putting robots and AI on repetitive, hard-to-fill, or physically punishing tasks and freeing scarce people for oversight, quality, and problem-solving [4]. The Bureau of Labor Statistics still projects employment of food processing equipment workers will grow 5 percent from 2025 to 2035, faster than the average for all occupations, with about 36,600 openings each year [5] — so machines aren't erasing the role.
What is changing is the skill mix: manufacturers report a 75% jump over five years in demand for simulation and software-related capabilities tied to technology-enabled production [6]. If you're curious about this career, learning to read data dashboards, troubleshoot smart equipment, and understand food safety rules will make you more valuable — not less — as AI joins the kitchen floor.
Sources
Will AI replace Food Cooking Machine Operator?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 38.4% AI Resilience Score signals real pressure on this role. AI is already handling recipe execution, adaptive setpoint control, and predictive maintenance on the factory floor, and at one frozen french-fry plant an AI-driven system boosted energy efficiency by 17% and saved roughly $130,000 per site each year [2]. A lot of the "read the recipe, set the controls, log the data" routine is becoming automated.
What stays human is judgment, accountability, and problem-solving when things go wrong. The Institute of Food Technologists notes that AI strengthens decision-making but human follow-through remains essential to safe outcomes [3]. Automation is also mostly backfilling jobs that plants simply cannot staff, not eliminating them outright [4].
The economic picture is tighter than the job-growth headline suggests. Demand and earning flexibility both score low on our scorecard, so this is not a career to coast in. The skill mix is shifting fast, with a 75% jump over five years in demand for simulation and software-related capabilities [6]. Learning to read data dashboards and troubleshoot smart equipment is the clearest path to staying relevant here.
Sources
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Latest AI news for Food Cooking Machine Operator
Students aspiring to be Food Cooking Machine Operators and Tenders should be aware of the potential impact of AI on their careers. Articles indicate a significant risk of displacement, with scores as high as 87/100 highlighting the threat from automation. However, a lower risk score of 11/100 in another source suggests some stability remains. Embracing AI trends, like robotic chefs enhancing efficiency and safety, can build resilience in this field. Understanding these dynamics can help students adapt and thrive in an evolving job landscape.
Will AI Replace Food Cooking Machine Operators and Tenders?
www.replacedbai.com • 8/20/2026
Mar 28, 2026 — No, Food Cooking Machine Operators and Tenders roles face significant AI replacement risk. With a risk score of 87/100, this occupation is ... Read more
Will AI Replace Food Cooking Machine Operators and ...
jobzonerisk.com • 8/20/2026
Overall Food Cooking Machine Operators and Tenders (Mid-Level): 18.9 This role is being actively displaced by AI. Typical Experience 2-5 years. Median $18.30/ ...
Food Cooking Machine Operators: AI Risk 78/100 - AI Job Checker
www.aijobchecker.com • 8/20/2026
Food Cooking Machine Operators and Tenders face severe displacement risk from a mature and accelerating wave of physical process automation that standard AI ...
The Latest AI Trends Transforming The Food Industry
www.forbes.com • 8/20/2026
Mar 18, 2025 — AI-powered robotic chefs can now measure ingredients, speed up cooking times, and ensure food safety without human intervention.
Food Cooking Machine Operators and Tenders: AI Risk Score 11/100
www.willaitakemyjob.app • 8/20/2026
Food Cooking Machine Operators and Tenders: AI displacement risk 11/100 (lower risk), from 3 research sources. Get your personal score free in 2 minutes.
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.
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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
Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses.
2
Pour, dump, or load prescribed quantities of ingredients or products into cooking equipment, manually or using a hoist.
3
Remove cooked material or products from equipment.
4
Operate auxiliary machines and equipment, such as grinders, canners, and molding presses, to prepare or further process products.
5
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
Collect and examine product samples during production to test them for quality, color, content, consistency, viscosity, acidity, or specific gravity.
7
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.
