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Studios and creators are increasingly using AI for efficiency and creative enhancement but are hesitant to publicize it due to strong opposition from talent and fears of public backlash. This creates a scenario of widespread but quiet adoption.

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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.

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.

Unlike the tech industry's forward-looking nostalgia, Hollywood's culture is rooted in preserving traditional filmmaking processes. This cultural attachment makes the creative community view AI not just as a job threat, but as an unwelcome disruption to the established craft and order, slowing its adoption as a creative tool.

Many writers secretly use LLMs, fearing professional backlash from peers who believe it's unethical. This creates a deep cultural divide, especially in high-status publications where some advocate for firing colleagues caught using AI, forcing users to conceal their workflows.

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.

A "don't ask, don't tell" policy pervades the music industry regarding AI. While artists increasingly rely on tools like Suno for creation, they conceal its use from fans who express a strong dislike for AI-assisted music, creating a significant perception gap.

A significant, unspoken trend is employee "deception," where workers use AI to dramatically boost output without telling their companies. Lacking incentives to share, they fear disclosure could threaten their job security or compensation, creating a hidden layer of AI-driven productivity.

Patreon faces a strategic paradox with AI. It must fully embrace AI tools internally for engineering and operations to survive as a tech company. Simultaneously, it must be cautious with external-facing AI features to avoid alienating its creator community, which is largely hostile to generative AI.

Initially resistant, Hollywood now widely uses AI tools like Magnific. Creatives like Gal Gadot have realized AI can cut film production costs by two-thirds, enabling more content creation by focusing actors on performance while AI handles complex environments, ultimately servicing more audiences.

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.