When Will AI Replace Techniciens d'installation, de maintenance et de réparation, divers ?

AI's influence on Installation, Maintenance, and Repair workers will unfold gradually. By 2027, entry-level helper roles will begin to see automation impacting tasks. By 2031, approximately 20% of miscellaneous tasks in this sector will be augmented by AI, including advanced diagnostics, remote monitoring, and automated testing.

The early wave of AI integration, starting around 2027, will primarily affect entry-level positions through automated testing and basic diagnostic support. This phase aims to streamline repetitive tasks and provide initial data analysis for more complex issues.

The mid-wave transformation, peaking around 2031, will see AI diagnostics and remote monitoring significantly augmenting the capabilities of experienced technicians. This will lead to improved efficiency and more accurate problem identification across a broader range of specialized equipment.

Entry-level helpers are most likely to experience some level of automation by 2027, as AI takes on more routine and standardized diagnostic tasks. This shift will necessitate a focus on upskilling for these roles to remain competitive in the evolving job market.

Skilled diagnostic technicians are expected to maintain strong demand well beyond 2035. The inherent complexity of diverse specialized equipment and troubleshooting challenges currently resists full standardization, ensuring a continued need for human expertise. Labor shortages, with over 500,000 unfilled positions, further guarantee that technology will augment rather than replace these vital workers.

For the next 5-7 years, focus on embracing AI as a tool to enhance your capabilities rather than viewing it as a threat. Develop skills in AI diagnostics, remote monitoring interpretation, and automated testing operation to stay ahead.

Upskill in areas requiring complex problem-solving and specialized equipment knowledge, as these remain areas where human expertise is irreplaceable. Staying informed about new AI tools and their applications will be crucial for adapting and thriving in this evolving field.