When Will AI Replace Ingénieur aérospatial ?

The AI revolution for aerospace engineers unfolds in stages. By early 2026, junior engineers focused on routine analysis and documentation may face displacement. By mid-2028, expect approximately 40% of aerospace engineering tasks to be automated. The late stages, extending to 2030 and beyond, will see AI deeply integrated, with senior engineers possessing specialized expertise continuing to hold crucial roles.

The initial wave of AI impact, beginning as early as 2026, will primarily affect roles involving routine CAD work, computational fluid dynamics (CFD) simulations, and basic structural finite element analysis (FEA). AI-powered tools are rapidly automating these computational execution tasks, demanding a proactive response from engineers in these areas.

By mid-2028, the mid-wave of AI transformation will see around 40% of overall aerospace engineering tasks automated. This includes advanced AI optimization in design simulation and generative design capabilities. Furthermore, AI-enhanced product lifecycle management (PLM) systems will streamline technical documentation generation, further reshaping daily workflows.

Junior aerospace engineers primarily engaged in routine analysis, technical documentation, and basic design validation are most at risk of displacement, with potential impacts emerging as early as 2026. Their current skill sets are highly susceptible to automation by AI-powered design and analysis tools.

Senior engineers who possess expertise in systems integration, have experience with certification testing, and demonstrate strong cross-functional leadership skills are better positioned to extend their careers well into 2030 and beyond. These roles require complex problem-solving, strategic decision-making, and human oversight that AI currently cannot replicate.

You have a critical window of 2-5 years to transition your focus from computational execution to higher-value activities. This involves developing expertise in safety-critical decision-making, mastering regulatory coordination with bodies like the FAA/EASA, and excelling in supplier integration across global supply chains.

Leverage AI-powered tools to enhance your capabilities. Platforms like ANSYS Discovery with AI optimization, Siemens NX with generative design, and AI-enhanced PLM systems can become your allies. Focus on mastering these tools to augment your human expertise, rather than being replaced by them.