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.
- Measure workpieces and lay out work, using precision measuring devices.69
- Study blueprints, work orders, or machining instructions to determine product specifications, tool requirements, and operational sequences.68
- Compute machine indexings and settings for specified dimensions and base reference points.68
- Set and adjust machine controls according to product specifications, using knowledge of machine operation.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.
- Activate machine start-up switches to grind, lap, hone, debar, shear, or cut workpieces, according to specifications.01
- Set up, operate, or tend grinding and related tools that remove excess material or burrs from surfaces, sharpen edges or corners, or buff, hone, or polish metal or plastic workpieces.02
- Brush or spray lubricating compounds on workpieces, or turn valve handles and direct flow of coolant against tools and workpieces.03
- Move machine controls to index workpieces, and to adjust machines for pre-selected operational settings.04
- Observe machine operations to detect any problems, making necessary adjustments to correct problems.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Tool Grinders, Filers, and Sharpeners
Closely related work
Compare these careers →Grinding and Polishing Workers, Hand
Closely related work
Compare these careers →Woodworking Machine Setters, Operators, and Tenders, Except Sawing
Closely related work
Compare these careers →Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic
Closely related work
Compare these careers →Cutting and Slicing Machine Setters, Operators, and Tenders
Closely related work
Compare these careers →Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic
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.
