Will AI replace multiple machine tool setters, operators, and tenders, metal and plastic?
Unlikely. Most of the work is hard for today's AI to speed up. Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic score 10 out of 100 (low exposure), #747 of 923 US jobs. AI could speed up 3 of the job's 21 tasks, 2 of them on its own, while 18 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which multiple machine tool setters, operators, and tenders, metal and plastic tasks can AI do?
The most exposed tasks include "Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics"; "Write programs for computer numerical control (CNC) machines to cut metal and plastic materials".
Which multiple machine tool setters, operators, and tenders, metal and plastic tasks are hardest for AI?
Tasks with little or no AI speed-up include "Inspect workpieces for defects, and measure workpieces to determine accuracy of machine operation, using rules, templates, or other measuring instruments"; "Position, adjust, and secure stock material or workpieces against stops, on arbors, or in chucks, fixtures, or automatic feeding mechanisms, manually or using hoists"; "Select, install, and adjust alignment of drills, cutters, dies, guides, and holding devices, using templates, measuring instruments, and hand tools".
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 multiple machine tool setters, operators, and tenders, metal and plastic, and what do they earn?
About 124,590 people in the US, with median pay of $47,180 a year (BLS, May 2025).