When Will AI Replace Techniciens en ingénierie automobile ?

By 2029, approximately 42% of Automotive Engineering Technicians' testing, data analysis, and documentation tasks will be automated. Entry-level technicians in traditional internal combustion engine testing and validation roles face impact as early as 2026.

Routine vehicle testing procedures, data collection and analysis, and technical report generation are prime candidates for automation. AI-powered simulation tools and automated testing systems are at the forefront of this early wave of impact.

More experienced technicians specializing in electric vehicle systems, autonomous vehicle testing, or advanced driver-assistance systems (ADAS) validation can expect their roles to evolve and remain in demand, with career longevity extending to 2032+.

Entry-level technicians focused on traditional internal combustion engine testing and validation are most vulnerable to early automation. Routine tasks in data collection and basic documentation are highly susceptible.

Experienced technicians specializing in emerging areas like electric vehicle systems, autonomous vehicle testing, and ADAS validation are in a stronger position. These advanced skills are projected to see continued demand and potential salary increases.

To navigate the evolving landscape, focus on acquiring specialized skills in electric vehicle systems, autonomous driving technology, and ADAS validation. Continuous learning is key to staying relevant.

Embrace and leverage AI-powered tools like ANSYS AI, Siemens Simcenter, and MATLAB automated scripts. Proficiency in generative design tools will also be crucial for future success in automotive engineering.