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.
- Position, adjust, and secure stock material or workpieces against stops, on arbors, or in chucks, fixtures, or automatic feeding mechanisms, manually or using hoists.70
- Select the proper coolants and lubricants and start their flow.70
- Record operational data, such as pressure readings, lengths of strokes, feed rates, or speeds.70
- Read blueprints or job orders to determine product specifications and tooling instructions and to plan operational sequences.68
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 controls or mount gears, cams, or templates in machines to set feed rates and cutting speeds, depths, and angles.01
- Select, install, and adjust alignment of drills, cutters, dies, guides, and holding devices, using templates, measuring instruments, and hand tools.02
- Change worn machine accessories, such as cutting tools or brushes, using hand tools.03
- Measure and mark reference points and cutting lines on workpieces, using traced templates, compasses, and rules.04
- Set up and operate machines, such as lathes, cutters, shears, borers, millers, grinders, presses, drills, or auxiliary machines, to make metallic and plastic workpieces.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
Closely related work
Compare these careers →Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic
Closely related work
Compare these careers →Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Closely related work
Compare these careers →Tool Grinders, Filers, and Sharpeners
Closely related work
Compare these careers →Woodworking Machine Setters, Operators, and Tenders, Except Sawing
Closely related work
Compare these careers →Cutting and Slicing Machine Setters, Operators, and Tenders
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.
