When Will AI Replace Technicien de maintenance polyvalent ?

By 2036, approximately 25% of Maintenance and Repair Workers, General, tasks will be automated. This means a steady integration of AI into the field, with the most noticeable shifts occurring over the next decade. The impact will not be uniform, with different segments of the workforce experiencing changes at varying paces.

The early wave of automation, expected around 2033, will primarily affect workers in standardized, high-volume settings. These environments are ripe for AI-driven efficiency gains in routine maintenance and repair tasks, marking the initial phase of significant technological integration.

Mid-wave transformation will continue the trend, with more advanced AI systems capable of handling a broader range of tasks by 2036. While 25% of general tasks may be automated by this year, the pace will depend on industry adoption and the development of sophisticated AI solutions for complex repairs.

Workers in standardized, high-volume maintenance and repair settings are most likely to experience the initial impacts of AI automation, with changes beginning around 2033. These roles often involve more predictable and repetitive tasks that are easier for AI to replicate.

Conversely, professionals in specialized roles, those handling custom work, or individuals employed by small businesses are expected to remain in high demand through 2040 and beyond. Their unique skill sets, problem-solving abilities, and direct client interaction are areas where AI currently struggles to compete.

To maintain employability, focus on developing specialized expertise and acquiring advanced certifications. These will differentiate you from automated systems and highlight your unique value. Problem-solving skills and strong client relationships are also critical areas to cultivate.

Leverage your human-centric abilities, such as communication and adaptability, to navigate the evolving job market. By proactively enhancing these skills, you can ensure your continued relevance and success in the face of AI advancements.