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Shoe Machine Operators and Tenders vs Shoe and Leather Workers and Repairers

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Shoe Machine Operators and Tenders and Shoe and Leather Workers and Repairers 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.”

Shoe Machine Operators and Tenders Shoe and Leather Workers and Repairers
Median pay · BLS OEWS
$38,160
$35,950
Employment · BLS OEWS
3,270
7,640
AI exposure (percentile) · task overlap, not automation
10th pct
9th pct

At a glance

Dimension Shoe Machine Operators and Tenders Shoe and Leather Workers and Repairers
Median pay $38,160 $35,950
Employment 3,270 7,640
Employment outlook (2024–34) · BLS projection Declining (-3.7%) Declining (-3.8%)
Annual openings · BLS projection 400 900
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 · 10th pct Low · 9th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 20th pct · 16% of tasks 15th pct · 14% 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, Control Precision, Production and Processing, Reading Comprehension, Manual Dexterity, Finger Dexterity, Administration and Management, Active Listening, Critical Thinking, Monitoring, Operations Monitoring, Oral Expression, Problem Sensitivity, Selective Attention, Multilimb Coordination, Reaction Time, Quality Control Analysis, Oral Comprehension, Category Flexibility, Visualization, Trunk Strength, Far Vision, Speech Recognition, Speaking, Time Management, Written Comprehension, Deductive Reasoning, Inductive Reasoning, Information Ordering, Visual Color Discrimination, Speech Clarity.

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

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

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 .

Full profiles

This page is a summary. See the complete source-backed profile for Shoe Machine Operators and Tenders or Shoe and Leather Workers and Repairers — 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.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Shoe Machine Operators and Tenders vs Shoe and Leather Workers and Repairers." 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-machine-operators-and-tenders-vs-shoe-and-leather-workers-and-repairers

APA

Singulariki. (2026). Shoe Machine Operators and Tenders vs Shoe and Leather Workers and Repairers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/shoe-machine-operators-and-tenders-vs-shoe-and-leather-workers-and-repairers

BibTeX
@misc{singulariki-shoe-machine-operators-and-tenders-vs-shoe-and-leather-workers-and-repairers,
  title  = {Shoe Machine Operators and Tenders vs Shoe and Leather Workers and Repairers},
  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-machine-operators-and-tenders-vs-shoe-and-leather-workers-and-repairers}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.