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Tool Grinders, Filers, and Sharpeners vs Cutting and Slicing Machine Setters, Operators, and Tenders

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

A factual, source-backed comparison of Tool Grinders, Filers, and Sharpeners and Cutting and Slicing Machine Setters, 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.”

Tool Grinders, Filers, and Sharpeners Cutting and Slicing Machine Setters, Operators, and Tenders
Median pay · BLS OEWS
$48,970
$45,700
Employment · BLS OEWS
5,730
47,540
AI exposure (percentile) · task overlap, not automation
29th pct
25th pct

At a glance

Dimension Tool Grinders, Filers, and Sharpeners Cutting and Slicing Machine Setters, Operators, and Tenders
Median pay $48,970 $45,700
Employment 5,730 47,540
Employment outlook (2024–34) · BLS projection Declining (-7.8%) Declining (-2.3%)
Annual openings · BLS projection 500 5,300
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 · 29th pct Low · 25th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 22nd pct · 17% of tasks 41st pct · 23% 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: Arm-Hand Steadiness, Operations Monitoring, Manual Dexterity, Finger Dexterity, Control Precision, Operation and Control, Near Vision, Mechanical, Quality Control Analysis, Mathematics, Equipment Maintenance, Problem Sensitivity, Visualization, Selective Attention, Critical Thinking, Flexibility of Closure, Perceptual Speed, Written Comprehension, Rate Control, Reaction Time, Monitoring, Troubleshooting, Deductive Reasoning, Information Ordering, Category Flexibility, Multilimb Coordination, Static Strength, Production and Processing, Reading Comprehension, Complex Problem Solving, Oral Comprehension, Oral Expression, Inductive Reasoning.

Specific to Tool Grinders, Filers, and Sharpeners

  • Repairing
  • English Language
  • Equipment Selection
  • Hearing Sensitivity
  • Auditory Attention
  • Judgment and Decision Making
  • Mathematical Reasoning

Specific to Cutting and Slicing Machine Setters, Operators, and Tenders

  • Trunk Strength
  • Extent Flexibility
  • Depth Perception
  • Coordination
  • Response Orientation
  • Active Listening
  • Written Expression

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 , Electronic mail software .

Specific to Tool Grinders, Filers, and Sharpeners

Specific to Cutting and Slicing Machine Setters, Operators, and Tenders

Full profiles

This page is a summary. See the complete source-backed profile for Tool Grinders, Filers, and Sharpeners or Cutting and Slicing Machine Setters, 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.

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. "Tool Grinders, Filers, and Sharpeners vs Cutting and Slicing Machine Setters, 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; 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/tool-grinders-filers-and-sharpeners-vs-cutting-and-slicing-machine-setters-operators-and-tenders

APA

Singulariki. (2026). Tool Grinders, Filers, and Sharpeners vs Cutting and Slicing Machine Setters, Operators, and Tenders. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/tool-grinders-filers-and-sharpeners-vs-cutting-and-slicing-machine-setters-operators-and-tenders

BibTeX 
@misc{singulariki-tool-grinders-filers-and-sharpeners-vs-cutting-and-slicing-machine-setters-operators-and-tenders,
  title  = {Tool Grinders, Filers, and Sharpeners vs Cutting and Slicing Machine Setters, 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; 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/tool-grinders-filers-and-sharpeners-vs-cutting-and-slicing-machine-setters-operators-and-tenders}
}

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