Machinists: daily tasks & AI impact
This page breaks Machinists into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 22/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Calculate dimensions or tolerances, using instruments, such as micrometers or vernier calipers. Core | 4.79 | — | — |
| Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders. Core | 4.77 | — | — |
| Measure, examine, or test completed units to check for defects and ensure conformance to specifications, using precision instruments, such as micrometers. Core | 4.62 | — | — |
| Set up, adjust, or operate basic or specialized machine tools used to perform precision machining operations. Core | 4.56 | — | — |
| Program computers or electronic instruments, such as numerically controlled machine tools. Core | 4.54 | — | — |
| Study sample parts, blueprints, drawings, or engineering information to determine methods or sequences of operations needed to fabricate products. Core | 4.48 | — | — |
| Monitor the feed and speed of machines during the machining process. Core | 4.46 | — | — |
| Maintain machine tools in proper operational condition. Core | 4.45 | — | — |
| Fit and assemble parts to make or repair machine tools. Core | 4.41 | — | — |
| Align and secure holding fixtures, cutting tools, attachments, accessories, or materials onto machines. Core | 4.34 | — | — |
| Confer with numerical control programmers to check and ensure that new programs or machinery will function properly and that output will meet specifications. Core | 4.33 | — | — |
| Operate equipment to verify operational efficiency. Core | 4.33 | — | — |
| Evaluate machining procedures and recommend changes or modifications for improved efficiency or adaptability. Core | 4.29 | — | — |
| Diagnose machine tool malfunctions to determine need for adjustments or repairs. Core | 4.08 | — | — |
| Design fixtures, tooling, or experimental parts to meet special engineering needs. Core | 4.07 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Machinists tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Machinists tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Machinists task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.