When Will AI Replace Techniciens de la circulation ?

The automation wave for Traffic Technicians is unfolding over the next few years. By 2029, approximately 55% of current tasks will be handled by AI. Early impacts are visible starting in 2027, primarily affecting those in entry-level roles focused on manual data collection.

The initial phase, beginning around 2027, will see AI and IoT sensors taking over routine vehicle counting, speed measurement, and basic traffic flow monitoring. This means manual data collection activities will be significantly reduced.

As we move towards the mid-to-late stages of this transformation, the focus shifts. While AI handles data collection, senior technicians skilled in system design, public interaction, and complex problem-solving can expect their roles to evolve and extend their careers potentially to 2032.

Entry-level Traffic Technicians performing routine field data collection are most vulnerable. Their day-to-day tasks, such as manual vehicle counting and speed monitoring, are precisely what AI-powered systems are designed to automate.

Conversely, senior technicians with expertise in crucial areas like system design, public interaction, and complex problem-solving are better positioned. These roles require human judgment and strategic thinking, making them more resilient to immediate automation and potentially leading to career extensions until 2032.

To navigate the evolving landscape, Traffic Technicians have a critical window of opportunity. The advice is clear: transition from manual data collection to roles focused on data interpretation and strategic traffic planning.

You have approximately 2 to 7 years to upskill and pivot. Embrace AI-powered traffic management systems and IoT sensor networks, not as threats, but as tools to enhance your capabilities and move into higher-value responsibilities.