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Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic vs Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic

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

A factual, source-backed comparison of Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic and Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic 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.”

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Median pay · BLS OEWS
$48,620
$46,060
Employment · BLS OEWS
18,970
129,850
AI exposure (percentile) · task overlap, not automation
49th pct
44th pct

At a glance

Dimension Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
Median pay $48,620 $46,060
Employment 18,970 129,850
Employment outlook (2024–34) · BLS projection Declining (-13.6%) Declining (-0.5%)
Annual openings · BLS projection 1,500 12,800
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 Moderate · 49th pct Moderate · 44th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 26th pct · 18% of tasks 28th pct · 18% of tasks
Observed AI use · Anthropic Economic Index — Automation-leaning (58.5%)
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: Production and Processing, Arm-Hand Steadiness, Control Precision, Mechanical, Operations Monitoring, Near Vision, Operation and Control, Finger Dexterity, English Language, Mathematics, Oral Comprehension, Problem Sensitivity, Visualization, Manual Dexterity, Multilimb Coordination, Rate Control, Reaction Time, Reading Comprehension, Active Listening, Monitoring, Equipment Maintenance, Quality Control Analysis, Written Comprehension, Deductive Reasoning, Information Ordering, Perceptual Speed, Selective Attention, Judgment and Decision Making, Inductive Reasoning, Category Flexibility, Far Vision.

Specific to Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

  • Engineering and Technology
  • Education and Training
  • Administration and Management
  • Customer and Personal Service
  • Oral Expression
  • Trunk Strength
  • Administrative
  • Personnel and Human Resources

Specific to Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic

  • Speech Recognition
  • Design
  • Speaking
  • Critical Thinking
  • Social Perceptiveness
  • Complex Problem Solving
  • Troubleshooting
  • Repairing

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

Specific to Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Specific to Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Full profiles

This page is a summary. See the complete source-backed profile for Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic or Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic — 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. "Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic vs Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic." 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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/lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic-vs-multiple-machine-tool-setters-operators-and-tenders-metal-and-plastic

APA

Singulariki. (2026). Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic vs Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic-vs-multiple-machine-tool-setters-operators-and-tenders-metal-and-plastic

BibTeX 
@misc{singulariki-lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic-vs-multiple-machine-tool-setters-operators-and-tenders-metal-and-plastic,
  title  = {Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic vs Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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/lathe-and-turning-machine-tool-setters-operators-and-tenders-metal-and-plastic-vs-multiple-machine-tool-setters-operators-and-tenders-metal-and-plastic}
}

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