When Will AI Replace Ingénieur automobile ?

The impact of AI on Automotive Engineers unfolds in stages. Junior engineers focusing on repetitive design and data analysis face early disruption, with potential impacts surfacing as soon as 2026. By 2028, approximately 45% of core Automotive Engineer tasks are projected to be automated by generative AI and advanced simulation tools.

The initial wave of automation, starting around 2026, will heavily affect tasks like routine CAD modeling and initial design iterations. AI copilots integrated into software like Siemens NX and generative design tools are set to streamline these processes, reducing the need for manual input in these areas.

By 2028, the mid-wave of AI integration will see advanced simulation software from ANSYS and other platforms taking over significant portions of testing data analysis and documentation. This shift requires engineers to move beyond computational tasks towards higher-level strategic and validation roles.

Junior engineers primarily engaged in routine computational work, such as repetitive CAD modeling, initial design iterations, and basic data analysis, are most vulnerable to early AI impact. Their roles performing standardized tasks are the first to be automated by sophisticated AI systems.

Senior engineers with expertise in systems integration, hands-on physical validation, and cross-functional leadership are best positioned to thrive. Their advanced skills and experience in complex problem-solving will extend their careers well beyond 2030, allowing them to lead AI-augmented engineering efforts.

To navigate this evolving landscape, pivot from routine computational work to high-value systems thinking. Focus on developing expertise in physical validation and embracing AI-augmented engineering leadership to remain indispensable.

Leverage AI tools like Siemens NX with AI copilots, ANSYS AI-powered simulation, and generative design platforms such as Altair and nTopology. These tools will augment your capabilities, allowing you to focus on complex problem-solving and innovation.