Will AI replace Shoe Machine Operators and Tenders?
AI reaches little of this job’s work.
3/100
Low exposure
More exposed to AI than 9% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 6% of the work
What the job involves
Operate or tend a variety of machines to join, decorate, reinforce, or finish shoes and shoe parts.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Select and place spools of thread or pre-wound bobbins into shuttles, or onto spindles or loupers of stitching machines.
Out of reach(17)
- Perform routine equipment maintenance such as cleaning and lubricating machines or replacing broken needles.
- Test machinery to ensure proper functioning before beginning production.
- Align parts to be stitched, following seams, edges, or markings, before positioning them under needles.
- Switch on machines, lower pressure feet or rollers to secure parts, and start machine stitching, using hand, foot, or knee controls.
- Study work orders or shoe part tags to obtain information about workloads, specifications, and the types of materials to be used.
and 12 more
Also called
Stitcher · Inseamer · Shoe Cementer · Side Laster · Archer · Fancy Stitcher · Inseam Trimmer · Lacer
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics