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.
- Maintain production records, such as quantities, types, and dimensions of materials produced.69
- Position width gauge blocks between blades, and level blades and insert wedges into frames to secure blades to frames.69
- Start machines to verify setups, and make any necessary adjustments.66
- Adjust machine controls to alter position, alignment, speed, or pressure.66
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.
- Stack and sort cut material for packaging, further processing, or shipping, according to types and sizes of material.01
- Mark cutting lines or identifying information on stock, using marking pencils, rulers, or scribes.02
- Turn cranks or press buttons to activate winches that move cars under sawing cables or saw frames.03
- Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material.04
- Remove completed materials or products from cutting or slicing machines, and stack or store them for additional processing.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Woodworking Machine Setters, Operators, and Tenders, Except Sawing
Closely related work
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Compare these careers →Paper Goods Machine Setters, Operators, and Tenders
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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.
