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Commercial and Industrial Designers vs Materials Engineers

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

A factual, source-backed comparison of Commercial and Industrial Designers and Materials Engineers 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.”

Commercial and Industrial Designers Materials Engineers
Median pay · BLS OEWS
$79,450
$108,310
Employment · BLS OEWS
30,250
22,770
AI exposure (percentile) · task overlap, not automation
70th pct
62nd pct

At a glance

Dimension Commercial and Industrial Designers Materials Engineers
Median pay $79,450 $108,310
Employment 30,250 22,770
Employment outlook (2024–34) · BLS projection About average (+3.2%) About average (+5.7%)
Annual openings · BLS projection 2,500 1,500
Typical education · O*NET Most of these occupations require a four-year bachelor's degree, but some do not. Most of these occupations require a four-year bachelor's degree, but some do not.
AI exposure · published exposure studies High · 70th pct Moderate · 62nd pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 65th pct · 35% of tasks 56th pct · 30% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (43.8%) —
Mostly remote-capable · Dingel–Neiman Yes 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: Design, Engineering and Technology, Production and Processing, Active Listening, Computers and Electronics, Reading Comprehension, Fluency of Ideas, Originality, Near Vision, Critical Thinking, Complex Problem Solving, Oral Comprehension, Written Comprehension, Oral Expression, Deductive Reasoning, Visualization, Mathematics, Problem Sensitivity, Information Ordering, Speech Recognition, English Language, Speaking, Speech Clarity, Inductive Reasoning, Operations Analysis, Judgment and Decision Making, Writing, Monitoring, Written Expression, Category Flexibility, Flexibility of Closure, Physics.

Specific to Commercial and Industrial Designers

  • Mechanical
  • Time Management
  • Visual Color Discrimination
  • Social Perceptiveness
  • Coordination
  • Persuasion
  • Technology Design
  • Selective Attention

Specific to Materials Engineers

  • Chemistry
  • Science
  • Mathematical Reasoning
  • Active Learning
  • Perceptual Speed
  • Instructing
  • Service Orientation

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: Graphics or photo imaging software , Computer aided design CAD software , Spreadsheet software , Office suite software , Presentation software , Document management software , Development environment software , Object or component oriented development software , Data base user interface and query software , Word processing software , Enterprise resource planning ERP software , Analytical or scientific software , Computer aided manufacturing CAM software .

Specific to Commercial and Industrial Designers

Specific to Materials Engineers

Full profiles

This page is a summary. See the complete source-backed profile for Commercial and Industrial Designers or Materials Engineers — 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. "Commercial and Industrial Designers vs Materials Engineers." 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/commercial-and-industrial-designers-vs-materials-engineers

APA

Singulariki. (2026). Commercial and Industrial Designers vs Materials Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/commercial-and-industrial-designers-vs-materials-engineers

BibTeX 
@misc{singulariki-commercial-and-industrial-designers-vs-materials-engineers,
  title  = {Commercial and Industrial Designers vs Materials Engineers},
  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/commercial-and-industrial-designers-vs-materials-engineers}
}

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