Cut, Edit, Enhance: AI Joins the Director’s Chair

By Pickle May 1, 2025

AI can cut costs, speed up VFX, and assist with storytelling—but directors will always be the true visionaries behind the camera says Dr S Raghunath

By Dr S. Raghunath

AI in movie making is not about replacing creativity but enhancing it. The industry will continue to evolve as AI improves efficiency, reduces costs, and enables hyper-personalised, interactive storytelling.

Artificial Intelligence (AI) is revolutionising the entertainment industry by reducing costs, enhancing creativity, and personalising content. Studios and independent filmmakers are increasingly leveraging AI in scriptwriting, casting, editing, special effects, and distribution.

Will directors and producers lose their creative control?

The answer is a resounding “No”, as directors will focus more on orchestration & storytelling while using AI as a real-time visual collaborator. Producers will become AI strategists, using AI for budgeting, marketing, and data-driven decision-making. The best films will still require human intuition, emotion, and unpredictability. Directors who use AI to enhance their vision, not replace it, will push movie making forward. AI is expected to assist creativity, not dictate it. The best filmmakers will find a balance between AI-driven efficiency and human artistic expression.

Director Jon Favreau (“The Mandalorian”) used AI in virtual production. He used NVIDIA Omniverse and Unreal Engine to make virtual sets instead of real locations. He also used AI-driven cinematography to simulate natural lighting in real time, which made it possible to blend CGI and live action more smoothly and cut down on post-production work. He reportedly allowed on-the-spot cinematography decisions, keeping the director’s artistic control, enabling unique storytelling choices without budget constraints.

Director Robert Zemeckis in (“The Irishman”) – used AI for digital de-ageing. He used AI-powered deepfake de-ageing for actors like Robert De Niro & Al Pacino. There was no need for makeup or body doubles. AI altered actors’ faces in post-production to depict different timelines without needing younger actors. The director maintained actor authenticity instead of using fully digital doubles.

It is obvious that AI automates tedious tasks such as editing, VFX rendering, scheduling, and budgeting, freeing up directors and producers to focus on storytelling and their artistic vision. AI-generated storyboards, pre-visualisation, and digital sets allow movie makers to experiment with different cinematographic styles, camera angles, and visual aesthetics before shooting. AI can suggest alternative plot structures, character arcs, and twists based on audience preferences or past successful films. When used creatively, it can inspire non-linear storytelling, interactive films, or procedural narratives.

AI tools like NVIDIA Omniverse, Runway ML, and Audio2Face provide directors with more control over visual effects, animation, and real-time cinematography. AI can augment a director’s vision by suggesting lighting adjustments, digital cinematography, or alternative scene edits.

Small studios and independent filmmakers can now create high-quality VFX, digital sets, and AI-powered animation without a massive budget. Directors and producers must control AI, not the other way around. Here’s how they can ensure AI serves creativity rather than replaces it.

AI-generated storyboards & pre-visualisation help test creative ideas before filming. AI-assisted cinematography lets directors preview lighting, camera angles, and VFX in real time. AI script analysis helps refine pacing and plot without replacing the writer. For example, an independent filmmaker can use Runway AI to generate different visual styles before choosing a final aesthetic.

AI should not dictate final edits, character emotions, or storytelling arcs. Directors should override AI suggestions when artistic choices conflict with AI recommendations. AI-generated music should complement human composers, not replace them. A director might use AI-assisted editing (e.g., Adobe Sensei) for rough cuts but personally refine the final sequence for emotional impact.

AI can replace expensive CGI or green screens but should not replace actors or practical effects entirely. AI should speed up workflows without replacing the need for human cinematographers, editors, and artists. AI can be used for marketing & audience insights, but storytelling should remain human-driven. A small studio using AI-driven VFX for set extensions instead of building full sets but still relying on actors’ real performances.

Every great director has a distinct visual style. So AI should enhance, not homogenise it. AI tools should be customised to fit the director’s artistic vision, not force them into a generic, AI-optimised look. AI can be used for experimental storytelling, but human intuition, emotion, and spontaneity should drive decision-making. A filmmaker might use AI-enhanced rotoscoping to create a unique aesthetic rather than relying on AI’s default styles.

Bottom line: AI is a tool, not a storyteller. Directors must ensure their human perspective remains central. The best films will balance AI efficiency with human artistry. AI can democratise movie-making, making high-end production accessible to smaller studios without replacing the director’s creative decisions. AI will not reduce creativity—unless movie makers let it do so. Directors and producers who embrace AI as a creative ally will push filmmaking into new and exciting directions. The most innovative films of the future will be those where AI enhances storytelling, not dictates it.

AI-facilitated movie-making is at the inflection point where value innovation is a distinct possibility, emphasising the simultaneous pursuit of differentiation and low cost to create new market spaces for the entertainment industry.

Caution: Excessive reliance on AI-generated scripts may lead to movies becoming predictable and repetitive. AI analysing box office trends might overuse clichés. If AI dictates how scenes should be shot, edited, or composed, it could reduce a director’s personal style. AI-generated cinematography may prioritise “optimal” shots over artistic risk-taking.

AI can predict which movies, actors, and themes will be successful based on past data. This could lead producers to prioritise commercially safe films instead of original, risky, or unconventional projects. If AI starts creating synthetic actors, AI-driven deepfake performances, or fully AI-generated films, does the human director still have authorship? Can an AI-generated film truly be “artistic” if it’s optimised purely for audience engagement?

The final question is: Will AI reduce the creativity of directors and producers?

AI may not replace creativity, but it will change how creativity is applied in movie making. Whether AI enhances or diminishes creativity depends on how directors and producers integrate it into their workflows.

(Dr S. Raghunath is Professor of Strategy at the Indian Institute of Management Bangalore and Chairman of the South Asia Board Academy of International Business.)