Will AI replace Food Cooking Machine Operators and Tenders?
Most of the work in Food Cooking Machine Operators and Tenders still leans on things AI struggles with — research rates its theoretical AI reach at only ~13%, and real-world use lower still.
O*NET-SOC 51-3093
How your 14 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~13%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~13%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 14 tasks, ratedBased on real task-level AI scores — click to collapse
- Read work orders, recipes, or formulas to determine cooking times and temperatures, and ingredient specifications.
- Record production and test data, such as processing steps, temperature and steam readings, cooking time, batches processed, and test results.
- No tasks in this middle tier.
- Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses.
- Observe gauges, dials, and product characteristics, and adjust controls to maintain appropriate temperature, pressure, and flow of ingredients.
- Measure or weigh ingredients, using scales or measuring containers.
- Tend or operate and control equipment, such as kettles, cookers, vats and tanks, and boilers, to cook ingredients or prepare products for further processing.
- Set temperature, pressure, and time controls, and start conveyers, machines, or pumps.
- Remove cooked material or products from equipment.
- Collect and examine product samples during production to test them for quality, color, content, consistency, viscosity, acidity, or specific gravity.
- Pour, dump, or load prescribed quantities of ingredients or products into cooking equipment, manually or using a hoist.
- Listen for malfunction alarms, and shut down equipment and notify supervisors when necessary.
- Notify or signal other workers to operate equipment or when processing is complete.
- Turn valves or start pumps to add ingredients or drain products from equipment and to transfer products for storage, cooling, or further processing.
- Admit required amounts of water, steam, cooking oils, or compressed air into equipment, such as by opening water valves to cool mixtures to the desired consistency.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.