Will AI replace Aerospace Engineer?

More exposed than 62% of the occupations in the index.

Averaged across 18 O*NET tasks, weighted by importance.

Aerospace engineers benefit significantly from AI tools that accelerate core workflow tasks, such as surrogate modeling for computational fluid dynamics (CFD) and finite element analysis (FEA), generative topology optimization, automated scripting for data processing, and LLM-assisted technical documentation and requirement analysis. An AI-fluent aerospace engineer can evaluate vastly larger design spaces and run complex trade studies much faster than a non-fluent peer, though human oversight remains essential due to strict safety and regulatory certification requirements.