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Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Forging Machine 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 Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic and Forging Machine 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.”

Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic Forging Machine Setters, Operators, and Tenders, Metal and Plastic
Median pay · BLS OEWS
$41,230
$49,240
Employment · BLS OEWS
154,820
8,760
AI exposure (percentile) · task overlap, not automation
18th pct
36th pct

At a glance

Dimension Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic Forging Machine Setters, Operators, and Tenders, Metal and Plastic
Median pay $41,230 $49,240
Employment 154,820 8,760
Employment outlook (2024–34) · BLS projection Declining (-3.8%) Declining (-18.9%)
Annual openings · BLS projection 15,900 600
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 Moderate · 36th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 19th pct · 15% of tasks 24th 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, Finger Dexterity, Rate Control, Reaction Time, Mathematics, Speaking, Critical Thinking, Quality Control Analysis, Time Management, Inductive Reasoning, Visualization, Selective Attention, Auditory Attention, Social Perceptiveness, Troubleshooting.

Specific to Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

  • Category Flexibility
  • Static Strength
  • Trunk Strength
  • Speech Clarity
  • Flexibility of Closure
  • Speech Recognition
  • Active Learning

Specific to Forging Machine Setters, Operators, and Tenders, Metal and Plastic

  • Education and Training
  • Engineering and Technology
  • Design
  • English Language
  • Computers and Electronics
  • Administration and Management
  • 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: Electronic mail software , Industrial control software .

Specific to Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

Specific to Forging Machine Setters, Operators, and Tenders, Metal and Plastic

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 Forging Machine 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. "Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Forging Machine 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; 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-forging-machine-setters-operators-and-tenders-metal-and-plastic

APA

Singulariki. (2026). Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Forging Machine Setters, Operators, and Tenders, Metal and Plastic. 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-forging-machine-setters-operators-and-tenders-metal-and-plastic

BibTeX 
@misc{singulariki-molding-coremaking-and-casting-machine-setters-operators-and-tenders-metal-and-plastic-vs-forging-machine-setters-operators-and-tenders-metal-and-plastic,
  title  = {Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic vs Forging Machine 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; 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-forging-machine-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.