When Will AI Replace Ingénieurs en robotique ?

The impact of AI on robotics engineers unfolds in stages. By 2028, an estimated 45% of tasks will be automated, affecting routine design, coding, and documentation. Junior robotics engineers (0-3 years) in implementation roles are particularly vulnerable, with significant displacement possible from 2026. This early wave focuses on automating repetitive and standardized engineering processes.

The mid-to-late stages of AI integration will see more complex tasks become susceptible. While specific dates for mid-wave automation aren't detailed, the trend points towards AI assisting in more intricate design aspects and autonomous system development. Senior engineers with specialized AI design skills or multi-domain knowledge can expect to extend their careers well beyond 2030.

The overall timeline suggests an urgent need for adaptation. With junior roles facing early disruption and senior roles benefiting from AI integration expertise, the field is bifurcating. Engineers must proactively upskill to remain relevant, leveraging AI as a tool rather than being replaced by it. The core of the disruption lies in automating predictable engineering workflows.

Junior robotics engineers with 0-3 years of experience, particularly those focused on implementation tasks like standard algorithm development and routine CAD work, are at the highest risk of displacement. Their roles often involve tasks that are more easily automated by current AI-powered design tools and code generation systems, making them vulnerable from 2026 onwards.

Conversely, senior robotics engineers who possess AI-integrated design expertise, multi-domain knowledge, and strong leadership capabilities are best positioned to thrive. These individuals can leverage AI to enhance their work, focusing on complex problem-solving and innovation. Specializing in areas like human-robot interaction or robotics AI architecture offers a secure and prosperous career path.

To future-proof your career, focus on adapting to AI's growing role. You have a 3-7 year window to upskill, depending on your specialization and AI adoption speed. Prioritize mastering AI-assisted robotics design tools and platforms that are becoming integral to the field.

Consider specializing in complex human-robot interaction systems, an area where AI is less likely to fully replace human ingenuity. Alternatively, transitioning into robotics AI architecture roles, which involve designing and overseeing AI systems for robots, presents a significant growth opportunity. Proactive learning is key.