AI exposure by occupation, O*NET 51-3092.00

Will AI replace Food Batchmakers?

Food Batchmakers: AI can already handle 1 of 25 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.

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Every task, scored

The 25 tasks O*NET 30.3 lists for Food Batchmakers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Examine, feel, and taste product samples during production to evaluate quality, color, texture, flavor, and bouquet, and document the results. 65 Estimated Standard 4.3
Inspect vats after cleaning to ensure that fermentable residue has been removed. 20 Estimated Efficient 4.6
Turn valve controls to start equipment and to adjust operation to maintain product quality. 20 Estimated Efficient 4.4
Inspect and pack the final product. 20 Estimated Efficient 4.2
Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. 15 Estimated No tier 4.8
Clean and sterilize vats and factory processing areas. 15 Estimated No tier 4.7
Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached. 15 Estimated No tier 4.7
Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes. 15 Estimated No tier 4.7
Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients. 15 Estimated No tier 4.6
Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color. 15 Estimated No tier 4.6
Give directions to other workers who are assisting in the batchmaking process. 15 Estimated No tier 4.6
Select and measure or weigh ingredients, using English or metric measures and balance scales. 15 Estimated No tier 4.5
Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps. 15 Estimated No tier 4.5
Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients. 15 Estimated No tier 4.5
Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors. 15 Estimated No tier 4.5
Manipulate products, by hand or using machines, to separate, spread, knead, spin, cast, cut, pull, or roll products. 15 Estimated No tier 4.5
Observe gauges and thermometers to determine if the mixing chamber temperature is within specified limits, and turn valves to control the temperature. 15 Estimated No tier 4.5
Cool food product batches on slabs or in water-cooled kettles. 15 Estimated No tier 4.5
Place products on carts or conveyors to transfer them to the next stage of processing. 15 Estimated No tier 4.3
Grade food products according to government regulations or according to type, color, bouquet, and moisture content. 15 Estimated No tier 4.3
Operate refining machines to reduce the particle size of cooked batches. 15 Estimated No tier 4.3
Formulate or modify recipes for specific kinds of food products. 15 Estimated No tier 4.3
Fill processing or cooking containers, such as kettles, rotating cookers, pressure cookers, or vats, with ingredients, by opening valves, by starting pumps or injectors, or by hand. 12 Estimated No tier 4.5
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. 12 Estimated No tier 4.4
Homogenize or pasteurize material to prevent separation or to obtain prescribed butterfat content, using a homogenizing device. 10 Estimated No tier 4.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 25 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 25 of 25. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 16% of the role's importance-weighted task work. 16% of the work is something AI can address at some tier, and 84% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
174,520
Median annual wage
$42,290
Middle half of earners
$36,350 to $49,670
Projected change, 2024 to 2034
+6.9%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Food Batchmakers and AI

Will AI replace Food Batchmakers?

AI already handles 1 of the 25 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 17 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +6.9% from 2024 to 2034.

What is the AI exposure of Food Batchmakers?

17 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 25 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 25 are estimated from each task's O*NET work activity.

Which Food Batchmakers tasks can AI already do?

The tasks with the highest exposure are: Examine, feel, and taste product samples during production to evaluate quality, color, texture, flavor, and bouquet, and document the results. It is the only task that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 16% of the role's importance-weighted task work, and 84% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Food Batchmakers, and what do they earn?

174,520 people in the United States, with a median annual wage of $42,290 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +6.9% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Food Batchmakers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/food-batchmakers

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