Materials Scientists vs Photonics Technicians
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Materials Scientists and Photonics Technicians 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 | Materials Scientists | Photonics Technicians |
|---|---|---|
| Median pay | $104,160 | $77,390 |
| Employment | 8,330 | 64,410 |
| Employment outlook (2024–34) · BLS projection | About average (+4.9%) | About average (+1.5%) |
| Annual openings · BLS projection | 600 | 5,700 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. |
| AI exposure · published exposure studies | High · 78th pct | High · 69th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 62nd pct · 34% of tasks | 52nd pct · 28% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (49.0%) | Augmentation-leaning (60.0%) |
| 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: Engineering and Technology, Physics, Mathematics, Reading Comprehension, Active Listening, Critical Thinking, Complex Problem Solving, Oral Comprehension, Written Comprehension, Oral Expression, Written Expression, Problem Sensitivity, Deductive Reasoning, Inductive Reasoning, Writing, Information Ordering, Category Flexibility, Speaking, Active Learning, Computers and Electronics, Near Vision, Production and Processing, Judgment and Decision Making, Mathematics, Mechanical, English Language, Monitoring.
Specific to Materials Scientists
- Chemistry
- Science
- Design
- Fluency of Ideas
- Originality
- Mathematical Reasoning
- Flexibility of Closure
- Persuasion
Specific to Photonics Technicians
- Operations Monitoring
- Quality Control Analysis
- Finger Dexterity
- Equipment Maintenance
- Perceptual Speed
- Troubleshooting
- Visualization
- Arm-Hand Steadiness
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 , Presentation software , Analytical or scientific software , Word processing software , Data base user interface and query software , Development environment software , Internet browser software .
Specific to Materials Scientists
Full profiles
This page is a summary. See the complete source-backed profile for Materials Scientists or Photonics Technicians — 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.
- Materials Scientists vs Materials Engineers
- Materials Scientists vs Nanosystems Engineers
- Materials Scientists vs Chemical Engineers
- Materials Scientists vs Microsystems Engineers
- Materials Scientists vs Manufacturing Engineers
- Materials Scientists vs Mechanical Engineers
- Materials Scientists vs Mechatronics Engineers
- Materials Scientists vs Chemists
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
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- 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. "Materials Scientists vs Photonics Technicians." 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/materials-scientists-vs-photonics-technicians
Singulariki. (2026). Materials Scientists vs Photonics Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/materials-scientists-vs-photonics-technicians
@misc{singulariki-materials-scientists-vs-photonics-technicians,
title = {Materials Scientists vs Photonics Technicians},
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/materials-scientists-vs-photonics-technicians}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.