Film and Video Editors
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Edit moving images on film, video, or other media. May work with a producer or director to organize images for final production. May edit or synchronize soundtracks with images.
The automation risk for the occupation "Film and Video Editors" is assessed at 52.5%, slightly below the base risk of 53.4%. This figure reflects an occupation that is moderately susceptible to automation, primarily due to the structured and repetitive nature of several core editing tasks. Many aspects of film and video editing rely on well-established processes and software tools that can be systematically improved and partially automated with current artificial intelligence and machine learning technologies. Among the most automatable tasks for film and video editors are: organizing and stringing together raw footage into a continuous sequence according to scripts or the instructions of directors and producers; editing films and videotapes to insert music, dialogue, and sound effects, as well as arranging sequences and correcting errors using editing equipment; and selecting and combining the most effective shots of each scene to form a logical and smoothly running story. These tasks revolve around sorting through vast quantities of visual and audio data, making technical adjustments, and following predetermined guidelines—all functions well-suited for advanced software tools that can accelerate workflow and reduce manual input. On the other hand, there are tasks that remain relatively resistant to automation, contributing to a lower risk than some other occupations. These include collaborating with music editors to select appropriate music passages and develop production scores, developing post-production models for films, and conferring with producers and directors to influence the layout or editing approaches in ways that increase dramatic or entertainment value. These activities require higher levels of creativity, nuanced judgment, and original contribution. Indeed, bottleneck skills like originality, which register at 3.5% and 3.6%, signify that the uniquely human qualities of innovative storytelling and creative decision-making continue to be essential and not easily replicated by AI or automation technology.