When Will AI Replace Techniciens audio et vidéo ?

The AI revolution in audio and video is unfolding in distinct phases. By 2029, a significant 45% of tasks will be automated. Early impacts, starting around 2027, will primarily affect entry-level technicians involved in repetitive post-production work like basic editing and audio mixing. This wave leverages tools such as Adobe Sensei and Descript to streamline these processes.

As we move towards mid-term impact, more complex tasks will see AI integration. Automated mixing platforms and AI-driven color correction will become standard, transforming standard operational workflows. While specific mid-term dates are not detailed, this phase will accelerate the automation of more nuanced technical duties.

Senior professionals focused on live event production, intricate multi-camera setups, and high-level creative direction can anticipate a longer runway, with career longevity extending potentially to 2033. This indicates that roles requiring deep human creativity and complex problem-solving will be the last to be fully impacted.

Entry-level Audio and Video Technicians primarily engaged in routine post-production tasks, such as repetitive editing, basic audio mixing, and straightforward color correction, are the most vulnerable. The increasing sophistication of AI tools like Adobe Sensei and Descript means these foundational roles will face automation pressure sooner, potentially starting as early as 2027.

Conversely, senior professionals specializing in complex live event production, advanced multi-camera configurations, and strategic creative direction are in a more secure position. Their roles demand nuanced human judgment, adaptability, and creative problem-solving that AI currently cannot replicate. These individuals can expect to extend their careers potentially to 2033.

To navigate the evolving landscape, Audio and Video Technicians must adapt their skillsets. The key is to pivot towards hybrid creative-technical roles. This involves not only mastering existing equipment but also becoming proficient in leveraging AI-powered tools like Adobe Sensei and Descript.

Focus on specializing in high-value areas that combine human creativity with AI efficiency. This could include advanced live event production, complex multi-camera directing, or innovative post-production workflows that utilize AI for speed and scale while retaining human oversight and artistic input.