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