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.
- Align parts to be stitched, following seams, edges, or markings, before positioning them under needles.80
- Study work orders or shoe part tags to obtain information about workloads, specifications, and the types of materials to be used.80
- Position dies on material in a manner that will obtain the maximum number of parts from each portion of material.80
- Draw thread through machine guide slots, needles, and presser feet in preparation for stitching, or load rolls of wire through machine axles.79
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.
- Cut excess thread or material from shoe parts, using scissors or knives.01
- Perform routine equipment maintenance such as cleaning and lubricating machines or replacing broken needles.02
- Remove and examine shoes, shoe parts, and designs to verify conformance to specifications such as proper embedding of stitches in channels.03
- Inspect finished products to ensure that shoes have been completed according to specifications.04
- Operate or tend machines to join, decorate, reinforce, or finish shoes and shoe parts.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Cutting and Slicing Machine Setters, Operators, and Tenders
Closely related work
Compare these careers →Shoe and Leather Workers and Repairers
Closely related work
Compare these careers →Grinding and Polishing Workers, Hand
Closely related work
Compare these careers →Cutters and Trimmers, Hand
Closely related work
Compare these careers →Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Related work
Compare these careers →Woodworking Machine Setters, Operators, and Tenders, Except Sawing
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.
