Shoe and Leather Workers and Repairers vs Shoe Machine Operators and Tenders
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Shoe and Leather Workers and Repairers and Shoe Machine Operators and Tenders on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Shoe and Leather Workers and Repairers | Shoe Machine Operators and Tenders |
|---|---|---|
| Median pay | $35,950 | $38,160 |
| Employment | 7,640 | 3,270 |
| Employment outlook (2024–34) · BLS projection | Declining (-3.8%) | Declining (-3.7%) |
| Annual openings · BLS projection | 900 | 400 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Low · 9th pct | Low · 10th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 15th pct · 14% of tasks | 20th pct · 16% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Near Vision, Arm-Hand Steadiness, Finger Dexterity, Production and Processing, Problem Sensitivity, Active Listening, Speaking, Critical Thinking, Monitoring, Oral Comprehension, Deductive Reasoning, Inductive Reasoning, Information Ordering, Category Flexibility, Visualization, Selective Attention, Manual Dexterity, Control Precision, Speech Recognition, Speech Clarity, Reading Comprehension, Operations Monitoring, Oral Expression, Multilimb Coordination, Time Management, Written Comprehension, Reaction Time, Far Vision, Visual Color Discrimination, Trunk Strength, Quality Control Analysis, Administration and Management.
Specific to Shoe and Leather Workers and Repairers
- Customer and Personal Service
- Mechanical
- Social Perceptiveness
- Coordination
- Service Orientation
- Judgment and Decision Making
- Sales and Marketing
- Active Learning
Specific to Shoe Machine Operators and Tenders
- Operation and Control
- Perceptual Speed
- Extent Flexibility
- Equipment Maintenance
- Rate Control
- Troubleshooting
- Education and Training
- Complex Problem Solving
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Spreadsheet software , Inventory management software .
Specific to Shoe and Leather Workers and Repairers
Specific to Shoe Machine Operators and Tenders
Full profiles
This page is a summary. See the complete source-backed profile for Shoe and Leather Workers and Repairers or Shoe Machine Operators and Tenders — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Shoe and Leather Workers and Repairers vs Sewers, Hand
- Shoe and Leather Workers and Repairers vs Sewing Machine Operators
- Shoe and Leather Workers and Repairers vs Molders, Shapers, and Casters, Except Metal and Plastic
- Shoe and Leather Workers and Repairers vs Upholsterers
- Shoe and Leather Workers and Repairers vs Grinding and Polishing Workers, Hand
- Shoe and Leather Workers and Repairers vs Tailors, Dressmakers, and Custom Sewers
- Shoe and Leather Workers and Repairers vs Furniture Finishers
- Shoe and Leather Workers and Repairers vs Jewelers and Precious Stone and Metal Workers
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Shoe and Leather Workers and Repairers vs Shoe Machine Operators and Tenders." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/shoe-and-leather-workers-and-repairers-vs-shoe-machine-operators-and-tenders
Singulariki. (2026). Shoe and Leather Workers and Repairers vs Shoe Machine Operators and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/shoe-and-leather-workers-and-repairers-vs-shoe-machine-operators-and-tenders
@misc{singulariki-shoe-and-leather-workers-and-repairers-vs-shoe-machine-operators-and-tenders,
title = {Shoe and Leather Workers and Repairers vs Shoe Machine Operators and Tenders},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/shoe-and-leather-workers-and-repairers-vs-shoe-machine-operators-and-tenders}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.