Will AI replace crushing, grinding, and polishing machine setters, operators, and tenders?
Unlikely. Most of the work is hard for today's AI to speed up. Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders score 11 out of 100 (low exposure), #735 of 923 US jobs. AI could speed up 2 of the job's 22 tasks, 2 of them on its own, while 20 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which crushing, grinding, and polishing machine setters, operators, and tenders tasks can AI do?
The most exposed tasks include "Read work orders to determine production specifications and information"; "Record data from operations, testing, and production on specified forms".
Which crushing, grinding, and polishing machine setters, operators, and tenders tasks are hardest for AI?
Tasks with little or no AI speed-up include "Observe operation of equipment to ensure continuity of flow, safety, and efficient operation, and to detect malfunctions"; "Examine materials, ingredients, or products, visually or with hands, to ensure conformance to established standards"; "Move controls to start, stop, or adjust machinery and equipment that crushes, grinds, polishes, or blends materials".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 22 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as crushing, grinding, and polishing machine setters, operators, and tenders, and what do they earn?
About 26,000 people in the US, with median pay of $48,540 a year (BLS, May 2025).