Will AI replace cutting and slicing machine setters, operators, and tenders?
Unlikely. Most of the work is hard for today's AI to speed up. Cutting and Slicing Machine Setters, Operators, and Tenders score 7 out of 100 (low exposure), #797 of 923 US jobs. AI could speed up 2 of the job's 28 tasks, 1 of them on its own, while 26 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which cutting and slicing machine setters, operators, and tenders tasks can AI do?
The most exposed tasks include "Maintain production records, such as quantities, types, and dimensions of materials produced".
Which cutting and slicing machine setters, operators, and tenders tasks are hardest for AI?
Tasks with little or no AI speed-up include "Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material"; "Examine, measure, and weigh materials or products to verify conformance to specifications, using measuring devices, such as rulers, micrometers, or scales"; "Press buttons, pull levers, or depress pedals to start and operate cutting and slicing machines".
Are people already using AI for this work?
Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.
How many people work as cutting and slicing machine setters, operators, and tenders, and what do they earn?
About 44,980 people in the US, with median pay of $46,570 a year (BLS, May 2025).