When Will AI Replace Technicien du son ?

The impact of AI on sound engineering technicians is a phased evolution. While specific dates are not provided for early or late stages, the mid-term shows a clear trajectory. By 2034, approximately 55% of tasks are expected to be automated, fundamentally reshaping the profession.

The initial wave of AI automation is already affecting entry-level roles. By 2030, junior sound technicians handling routine live event setups, basic podcast editing, and simple studio sessions will see a significant impact. Positions requiring only basic Pro Tools knowledge are projected to shrink by 30-40%.

As AI continues to develop, the mid-wave transformation will see more complex tasks become automated. Platforms like iZotope RX, LANDR mastering, and Adobe Podcast AI are already streamlining mixing, mastering, and noise reduction, tasks that previously demanded extensive human expertise.

Junior sound technicians are particularly vulnerable. Those focused on routine tasks such as basic podcast editing, simple studio sessions, and entry-level live event setups are likely to face the most immediate impact, with a projected 30-40% reduction in entry-level positions by 2030.

Conversely, experienced sound engineers with deep expertise in complex live productions, major concert sound, film scoring, and broadcast television are more secure. Their advanced creative sound design, critical listening skills for high-stakes projects, and strong client relationship management offer a buffer against widespread automation.

To navigate the evolving landscape, sound engineering technicians must adapt. Focus on developing advanced creative sound design skills and mastering critical listening for high-stakes projects, areas where human judgment remains paramount. Cultivating strong client relationships will also be a key differentiator.

Embrace AI-powered audio processing platforms as tools to enhance your workflow. Familiarize yourself with emerging neural audio synthesis tools and leverage existing platforms like iZotope RX, LANDR mastering, and Adobe Podcast AI to automate routine tasks and free up time for more complex creative work.