Brad Pitt said artificial intelligence could serve as a tool to lower visual-effects costs and help more mid-budget films get made [1, 2].

This perspective comes at a time of significant tension between Hollywood labor and technology developers. If AI can reduce the financial barrier for non-blockbuster cinema, it may shift how studios greenlight projects that do not have massive built-in audiences.

In a cover story for Esquire, the 62-year-old actor [4] said the integration of AI in cinema is a "very interesting experiment" [1]. He said that while there is significant pushback against the technology, its application in production could provide a lifeline for films that fall between low-budget indie projects and massive franchise tentpoles [1].

Pitt said AI could be used as a tool that helps these mid-budget films get made [1]. He said that the primary benefit lies in the ability to achieve high-quality visual results without the prohibitive costs traditionally associated with major studio visual-effects houses [1, 3].

"There's a lot of resistance, but it could actually help more mid-budget projects get made," Pitt said [1].

Throughout the industry, the debate over generative AI has focused largely on the replacement of human artists and actors. However, Pitt's comments frame the technology as a means of expanding the types of stories that are financially feasible to produce, rather than simply a way to cut staff.

By lowering the cost of entry for visually ambitious storytelling, AI may allow creators to maintain higher production values on smaller budgets [1, 2]. This approach treats the technology as a utility to support the creative process rather than a replacement for it.

“"It's a very interesting experiment."”

The shift toward AI-assisted production represents a potential pivot in the 'blockbuster or bust' economy of modern cinema. By reducing the overhead for visual effects, the industry could see a resurgence of the mid-budget drama or genre film, which has largely migrated to streaming services or disappeared due to rising costs. However, this transition remains contingent on resolving labor disputes regarding the ownership and implementation of AI tools.