Aerospace Engineers vs Automotive Engineers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Aerospace Engineers and Automotive 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.”
At a glance
| Dimension | Aerospace Engineers | Automotive Engineers |
|---|---|---|
| Median pay | $134,830 | $102,320 |
| Employment | 68,440 | 286,760 |
| Employment outlook (2024–34) · BLS projection | About average (+6.1%) | Growing fast (+9.1%) |
| Annual openings · BLS projection | 4,500 | 18,100 |
| 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 | Moderate · 66th pct | High · 82nd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 61st pct · 32% of tasks | 61st pct · 32% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (49.4%) | Augmentation-leaning (56.2%) |
| Mostly remote-capable · Dingel–Neiman | Yes | Yes |
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, Mathematics, Design, Critical Thinking, Written Comprehension, Physics, Reading Comprehension, Science, Problem Sensitivity, Deductive Reasoning, Inductive Reasoning, Information Ordering, Active Listening, Writing, Speaking, Mathematics, Complex Problem Solving, Operations Analysis, Oral Comprehension, Oral Expression, Written Expression, Mathematical Reasoning, Computers and Electronics, English Language, Judgment and Decision Making, Near Vision, Active Learning, Speech Clarity, Systems Evaluation, Fluency of Ideas, Category Flexibility, Mechanical, Systems Analysis, Originality, Number Facility, Speech Recognition, Production and Processing, Coordination.
Specific to Aerospace Engineers
- Monitoring
- Learning Strategies
Specific to Automotive Engineers
- Transportation
- Visualization
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: Computer aided design CAD software , Development environment software , Object or component oriented development software , Spreadsheet software , Office suite software , Presentation software , Analytical or scientific software , Enterprise application integration software , Operating system software , Data base user interface and query software , Electronic mail software , Project management software , Process mapping and design software , Word processing software , Enterprise resource planning ERP software , Computer aided manufacturing CAM software .
Specific to Aerospace Engineers
Full profiles
This page is a summary. See the complete source-backed profile for Aerospace Engineers or Automotive 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.
- Aerospace Engineers vs Aerospace Engineering and Operations Technologists and Technicians
- Aerospace Engineers vs Electro-Mechanical and Mechatronics Technologists and Technicians
- Aerospace Engineers vs Avionics Technicians
- Aerospace Engineers vs Mechanical Engineering Technologists and Technicians
- Aerospace Engineers vs Mechanical Engineers
- Aerospace Engineers vs Aircraft Mechanics and Service Technicians
- Aerospace Engineers vs Electronics Engineers, Except Computer
- Aerospace Engineers vs Mechatronics Engineers
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. "Aerospace Engineers vs Automotive 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/aerospace-engineers-vs-automotive-engineers
Singulariki. (2026). Aerospace Engineers vs Automotive Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/aerospace-engineers-vs-automotive-engineers
@misc{singulariki-aerospace-engineers-vs-automotive-engineers,
title = {Aerospace Engineers vs Automotive 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/aerospace-engineers-vs-automotive-engineers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.