Long before the current generative AI boom, machine learning was integral to high-end VFX, such as creating the character Thanos in Marvel's 2018 film 'Infinity War'. This historical use without public outcry suggests audiences accept AI as a tool for enhancing CGI, differentiating it from concerns about AI replacing core creative roles.
The fear that AI will replace top artists is misplaced. The correct framing is what happens when top talent gets AI tools. A director like Steven Spielberg could potentially increase their output 20-fold for a fraction of the cost, leading to a massive increase in high-quality creative work.
While generative video gets the hype, producer Tim McLear finds AI's most practical use is automating tedious post-production tasks like data management and metadata logging. This frees up researchers and editors to focus on higher-value creative work, like finding more archival material, rather than being bogged down by manual data entry.
Hollywood has been losing film productions to cheaper locations. AI-powered visual effects could slash costs by eliminating the need for on-location filming. This could make shooting in Los Angeles economically viable again, sparking a resurgence for the city as a production hub.
Former DreamWorks CEO Jeffrey Katzenberg compares the current backlash against AI in creative fields to the initial revolt from traditional animators against computer graphics. He argues that, like computer animation, AI's adoption is an unstoppable technological shift that creators will either join or be left behind by.
ElevenLabs' CEO predicts AI won't enable a single prompt-to-movie process soon. Instead, it will create a collaborative "middle-to-middle" workflow, where AI assists with specific stages like drafting scripts or generating voice options, which humans then refine in an iterative loop.
Like AI coding assistants for engineers, tools like Hera will not eliminate motion designers. Instead, they automate tedious 'pixel-by-pixel' execution. This frees designers to focus on high-level creativity, strategy, and overall vision, shifting their role from pure execution to creative direction.
The most tangible fear of AI in Hollywood isn't replacing A-list actors, who have leverage for consent and compensation. The immediate threat is to production jobs—grips, makeup—as AI enables digital reshoots and effects, reducing the need for on-set labor.
While photorealism is a common goal, the first fully AI-generated films will likely be animated or fantasy. This is because traditional filmmaking is already cheap and effective at capturing reality. AI's true economic and creative advantage lies in generating complex, non-photorealistic visuals that are currently expensive to produce.
Being an "AI pessimist" means being a realist about the technology's limits. As a prime example, OpenAI—the leader in the field—used traditional, human-led analog filmmaking for its first TV commercial. This move demonstrates that AI is a powerful tool within a creative process, not a replacement for entire creative industries or human skill.
When analyzing video, new generative models can create entirely new images that illustrate a described scene, rather than just pulling a direct screenshot. This allows AI to generate its own 'B-roll' or conceptual art that captures the essence of the source material.