How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Turn valves or pull levers to start and regulate the flow of coolant or lubricant to work areas.69
- Verify alignment of workpieces on machines, using measuring instruments such as rules, gauges, or calipers.67
- Replace worn tools, using hand tools, and sharpen dull tools, using bench grinders.67
- Compute dimensions, tolerances, and angles of workpieces or machines according to specifications and knowledge of metal properties and shop mathematics.67
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Move cutters or material manually or by turning handwheels, or engage automatic feeding mechanisms to mill workpieces to specifications.01
- Select cutting speeds, feed rates, and depths of cuts, applying knowledge of metal properties and shop mathematics.02
- Move controls to set cutting specifications, to position cutting tools and workpieces in relation to each other, and to start machines.03
- Select and install cutting tools and other accessories according to specifications, using hand tools or power tools.04
- Remove workpieces from machines, and check to ensure that they conform to specifications, using measuring instruments such as microscopes, gauges, calipers, and micrometers.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
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Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
