Will AI replace machinists?
Unlikely. Most of the work is hard for today's AI to speed up. Machinists score 23 out of 100 (moderate exposure), #607 of 923 US jobs. AI could speed up 8 of the job's 29 tasks, 4 of them on its own, while 21 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which machinists tasks can AI do?
The most exposed tasks include "Program computers or electronic instruments, such as numerically controlled machine tools"; "Confer with numerical control programmers to check and ensure that new programs or machinery will function properly and that output will meet specifications"; "Evaluate machining procedures and recommend changes or modifications for improved efficiency or adaptability".
Which machinists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Calculate dimensions or tolerances, using instruments, such as micrometers or vernier calipers"; "Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders"; "Measure, examine, or test completed units to check for defects and ensure conformance to specifications, using precision instruments, such as micrometers".
Are people already using AI for this work?
Yes. In April–May 2026, 3 of the 29 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as machinists, and what do they earn?
About 287,050 people in the US, with median pay of $58,750 a year (BLS, May 2025).