Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic and Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers 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 | Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic | Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers |
|---|---|---|
| Median pay | $41,230 | $44,980 |
| Employment | 154,820 | 14,900 |
| Employment outlook (2024–34) · BLS projection | Declining (-3.8%) | Declining (-1.1%) |
| Annual openings · BLS projection | 15,900 | 2,000 |
| 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 · 18th pct | Low · 8th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 19th pct · 15% of tasks | 23rd pct · 17% 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, Manual Dexterity, Production and Processing, Mechanical, Operations Monitoring, Control Precision, Multilimb Coordination, Active Listening, Deductive Reasoning, Information Ordering, Perceptual Speed, Near Vision, Reading Comprehension, Monitoring, Operation and Control, Oral Comprehension, Written Comprehension, Oral Expression, Problem Sensitivity, Category Flexibility, Finger Dexterity, Rate Control, Reaction Time, Trunk Strength, Speech Clarity, Mathematics, Speaking, Quality Control Analysis, Time Management, Inductive Reasoning, Flexibility of Closure, Visualization, Selective Attention, Auditory Attention.
Specific to Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic
- Static Strength
- Critical Thinking
- Speech Recognition
- Active Learning
- Social Perceptiveness
- Troubleshooting
Specific to Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers
- English Language
- Education and Training
- Coordination
- Complex Problem Solving
- Judgment and Decision Making
- Time Sharing
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 , Office suite software , Electronic mail software , Word processing software , Enterprise resource planning ERP software , Industrial control software .
Specific to Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic
Specific to Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers
Full profiles
This page is a summary. See the complete source-backed profile for Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic or Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers — 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.
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Molders, Shapers, and Casters, Except Metal and Plastic
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Forging Machine Setters, Operators, and Tenders, Metal and Plastic
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Rolling Machine Setters, Operators, and Tenders, Metal and Plastic
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Tool and Die Makers
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. "Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers." 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/molding-coremaking-and-casting-machine-setters-operators-and-tenders-metal-and-plastic-vs-extruding-and-forming-machine-setters-operators-and-tenders-synthetic-and-glass-fibers
Singulariki. (2026). Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/molding-coremaking-and-casting-machine-setters-operators-and-tenders-metal-and-plastic-vs-extruding-and-forming-machine-setters-operators-and-tenders-synthetic-and-glass-fibers
@misc{singulariki-molding-coremaking-and-casting-machine-setters-operators-and-tenders-metal-and-plastic-vs-extruding-and-forming-machine-setters-operators-and-tenders-synthetic-and-glass-fibers,
title = {Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers},
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/molding-coremaking-and-casting-machine-setters-operators-and-tenders-metal-and-plastic-vs-extruding-and-forming-machine-setters-operators-and-tenders-synthetic-and-glass-fibers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.