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Tech giants like Google and Amazon are accelerating AI's role in filmmaking not just by developing tools, but through strategic investments in studios (Google in A24) and leveraging their ubiquitous cloud infrastructure, effectively 'shepherding' the industry's transition.
Investments in OpenAI from giants like Amazon and Microsoft are strategic moves to embed the AI leader within their ecosystems. This is evidenced by deals requiring OpenAI to use the investors' proprietary processors and cloud infrastructure, securing technological dependency.
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.
AI is enabling films to be shot entirely on gray-screen soundstages with AI-generated backgrounds and lighting. This can slash a blockbuster's budget from over $200M to $70M, making it financially viable to produce more movies and take bigger creative risks.
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.
Google's investment and AI partnership with artsy film studio A24 could be a strategic PR move. By aligning with a respected tastemaker, Google can improve AI's reputation among skeptical creative professionals, a practice the podcast dubs 'taste washing.'
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.
Initially dismissing AI for creative tasks, media companies now recognize its inevitability. The key to adoption is framing AI's value around revenue generation (making more money), which is a far more compelling business case than simply cost-saving (e.g., reducing producer headcount).
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.
While creative potential is often cited, the main impetus for AI integration is the film industry's urgent need to slash production expenses. The ability to generate a scene in minutes for a fraction of the cost of a traditional shoot is the most compelling argument for studios.