Food Batchmakers
Overall Exposure
2025 vs 2023
Theoretical Exposure
45What AI could do
Observed Exposure
15What AI actually does
Automation Risk Score
20Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Task Breakdown
About This Occupation
If you work as a Food Batchmakers, AI is transforming your role. Risk 20/100, exposure 28%.
ISCO-08 classification
Food and Related Products Machine Operators
Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.
Definition
ILO original text (English)
Food and related machine operators set, operate and attend machinery used to slaughter animals, trim meat from carcasses, and bake, freeze, heat, crush, mix, blend and otherwise process foodstuffs, beverages and tobacco leaves.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET51-3091.00
Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders
Operate or tend food or tobacco roasting, baking, or drying equipment, including hearth ovens, kiln driers, roasters, char kilns, and vacuum drying equipment.
View original - ONET51-3092.00
Food Batchmakers
Set up and operate equipment that mixes or blends ingredients used in the manufacturing of food products. Includes candy makers and cheese makers.
View original - ONET51-3093.00
Food Cooking Machine Operators and Tenders
Operate or tend cooking equipment, such as steam cooking vats, deep fry cookers, pressure cookers, kettles, and boilers, to prepare food products.
View original
Frequently Asked Questions
With an automation risk score of 20%, Food Batchmakers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
Our estimated AI automation risk score for Food Batchmakers is 20% for 2025. Estimated overall AI exposure is 28%, with 45% theoretical exposure and 15% observed exposure. The estimated risk trend from 2023 to 2025 is 0 points. All of these are model-generated estimates, not measurements.
The tasks with the highest automation potential for Food Batchmakers are: Record batch production data (55%), Monitor production quality and consistency (42%), Operate mixing and blending equipment (28%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.
We estimate a -2% employment change for Food Batchmakers between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 28%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Food Batchmakers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.