Will AI replace Food Batchmakers?
AI reaches little of this job’s work.
14/100
Low exposure
More exposed to AI than 26% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 17% of the work
What the job involves
Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(4)
- Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle.
- Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients.
- Modify cooking and forming operations based on the results of sampling processes, adjusting time cycles and ingredients to achieve desired qualities, such as firmness or texture.
- Formulate or modify recipes for specific kinds of food products.
Out of reach(21)
- Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes.
- Clean and sterilize vats and factory processing areas.
- Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color.
- Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors.
- Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients.
and 16 more
Also called
Blender · Candy Maker · Mixer · Mixer Operator · Syrup Maker · Batch Maker · Dough Mixer · Juicer
Related jobs
- Food Cooking Machine Operators and Tenders3/100
- Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders8/100
- Bakers12/100
- Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders7/100
- Mixing and Blending Machine Setters, Operators, and Tenders9/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics