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The initial, practical application for high-fidelity AI video models in Hollywood will be for tedious post-production tasks like reshoots. The technology offers a far more efficient solution to problems like Henry Cavill's infamous CGI-removed mustache, serving as a powerful tool long before it becomes a creative threat to actors.
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Netflix has deployed generative AI in about 300 productions, primarily in post-production. The company carefully positions the technology not as a replacement for writers or directors, but as a practical tool to reduce costs and enable shots that were previously cost-prohibitive, thus avoiding conflict with creative unions while still scaling its use.
The immediate impact of generative AI in filmmaking isn't replacing final production but revolutionizing pre-production. Tools like ComfyUI enable rapid visualization of complex scenes, allowing creative teams to iterate and make on-set decisions in minutes rather than weeks.
Major studios like Netflix and Amazon are integrating AI into traditional pipelines for tasks like generating backgrounds, special effects, and animations. This lowers production costs and boosts efficiency without the PR risk associated with replacing human actors.
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.
Contrary to hype, Hollywood's current AI adoption is focused on back-end processes where labor unions have fewer protections, like automating animation and storyboarding to cut costs. Studios are treading cautiously and are not greenlighting AI-written scripts or replacing human actors, which are protected by guild agreements.
Professionals in Hollywood aren't interested in unpredictable generation. They adopt AI video for tools that offer precise, deterministic control over camera angles (via JSON), lighting, lip-sync, and character motion. The value is in augmenting and accelerating existing workflows, not replacing them with a black box.
Netflix's acquisition of Interpositive, an AI startup, focuses on automating post-production tasks like lighting and reframing, not generating new scenes. This massive deal proves the most valuable and accepted use of AI in entertainment is as a high-end efficiency and cost-cutting tool that keeps creative control with humans.
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 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.
Public concern over AI in film often overlooks its long-standing use as a production tool. For years, machine learning pipelines have been used to enhance CGI character performances, like Thanos in 'Avengers'. This suggests audiences accept AI when it's an 'invisible' tool for enhancing quality, rather than a replacement for creative direction.
