Will AI replace food cooking machine operators and tenders?
Unlikely. Most of the work is hard for today's AI to speed up. Food Cooking Machine Operators and Tenders score 13 out of 100 (low exposure), #719 of 923 US jobs. AI could speed up 2 of the job's 17 tasks, 2 of them on its own, while 15 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which food cooking machine operators and tenders tasks can AI do?
The most exposed tasks include "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".
Which food cooking machine operators and tenders tasks are hardest for AI?
Tasks with little or no AI speed-up include "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".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 17 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as food cooking machine operators and tenders, and what do they earn?
About 31,250 people in the US, with median pay of $41,590 a year (BLS, May 2025).