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.
- Study blueprints, layouts or charts, and job orders for information on specifications and tooling instructions, and to determine material requirements and operational sequences.79
- Compute unspecified dimensions and machine settings, using knowledge of metal properties and shop mathematics.78
- Adjust machine controls and change tool settings to keep dimensions within specified tolerances.75
- Crank machines through cycles, stopping to adjust tool positions and machine controls to ensure specified timing, clearances, and tolerances.74
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.
- Turn valve handles to direct the flow of coolant onto work areas or to coat disks with spinning compounds.01
- Move controls to set cutting speeds and depths and feed rates, and to position tools in relation to workpieces.02
- Replace worn tools, and sharpen dull cutting tools and dies, using bench grinders or cutter-grinding machines.03
- Position, secure, and align cutting tools in toolholders on machines, using hand tools, and verify their positions with measuring instruments.04
- Lift metal stock or workpieces manually or using hoists, and position and secure them in machines, using fasteners and hand tools.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic
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Compare these careers →Woodworking Machine Setters, Operators, and Tenders, Except Sawing
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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.
