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Despite the rapid spread of generative AI tools in digital content creation, Hollywood studios remain hesitant to fully integrate the technology into filmmaking. According to a recent Deloitte report, major industry players are primarily limiting AI use to business operations due to concerns over the technology’s legal status, cost implications, and creative risks.
While independent creators and social platforms embrace AI for its flexibility and speed, large studios are under pressure from rising production and marketing costs, as well as increased competition from games and user-generated content. AI has advanced quickly in image, voice, and video generation, but is still not considered ready for high-budget productions. Deloitte predicts that in 2025, major U.S. and EU studios will allocate no more than 3% of content budgets to AI, focusing instead on backend uses like contracting, HR, finance, and promotion.
The study highlights that studios are particularly cautious due to unresolved copyright concerns around AI-generated works, many of which rely on publicly available content. Legal uncertainties and ongoing lawsuits are prompting studios to avoid creative deployment of the technology. U.S. copyright offices have recently allowed limited protection for works partially created with AI, but clear thresholds remain undefined.
Studios also face commercial friction with AI providers, who seek access to proprietary film material for model training—something studios are reluctant to offer. This reluctance stems from the desire to protect intellectual property, which remains a key asset. According to Deloitte, building in-house AI models using original content could resolve some of these conflicts but would cost up to $100 billion, making it unrealistic for most.
Instead, a more viable solution may be adapting third-party pretrained models, allowing studios to fine-tune them for internal use while retaining control and reducing costs. Even so, maintaining and deploying such systems requires specialized talent and continued investment.
In the short term, studios are using AI primarily to streamline script processing, location scouting, production planning, and archive management, rather than to create full-fledged content. Despite this, improvements in AI voice and dubbing tools are already being tested in postproduction workflows.
While some experts had previously estimated that AI-generated blockbusters could arrive by 2030, Deloitte analysts now consider that timeline increasingly realistic. As larger companies explore AI for efficiency and market reach, independent creators gain access to high-end tools at lower cost, intensifying the competitive pressure on studios from below.
Source: Deloitte
