Google’s AI film cohort sparks debate on the future of cinema

Google recently hosted the Google Flow Sessions, a five-week cohort program for 10 independent filmmakers. The initiative provided participants with access to Google’s AI tools—including Gemini, its AI model, and Veo, its film generator—to explore how technology can enable stories previously constrained by budget or time. Among the participants was Brad Tangonan, who used the tools to create a short film set in Hawaii featuring dialogue in Ilocano, a language from the northern Philippines. “I see all of these tools, whether it be a camera you can pick up or generative AI, as ways for an artist to express what they have in their mind,” said Tangonan, an independent filmmaker. The cohort’s films were screened at Soho House New York.

The AI video industry is moving from prototype to post-production, supported by capital inflows. For instance, Luma AI raised a $900 million Series C, a stage of venture capital funding, last November. This shift has forced filmmakers to navigate whether these tools serve as creative facilitators or replacements for human labor. Some participants took steps to ensure their work remained personal. Keenan MacWilliam, an independent filmmaker, explained that she spent significant time learning to build applications using her own dataset to serve as reference points, using her own scanned images of flora and fauna rather than relying on a blended average of other artists’ work.

Despite the enthusiasm of some independent creators, high-profile industry figures remain deeply skeptical. Filmmaker Guillermo del Toro stated last October that he would rather die than use generative AI to make a film. James Cameron characterized the technology as horrifying, asserting that generative AI is only capable of spitting out a blended average of everything that has ever been done by humans before. Similarly, Werner Herzog argued that AI-generated films have no soul. These critics contend that the technology removes human lived experience from the creative process, while proponents argue that AI simply acts as a facilitator for artists who maintain creative control.

Beyond artistic and labor concerns, the integration of AI in filmmaking faces ethical and environmental hurdles. Copyright issues persist, as several AI video startups face questions regarding whether they train their models on copyrighted material without permission. Additionally, the technology faces environmental hurdles; some estimates suggest that generating seconds of AI video can consume as much electricity as hours of streaming. If filmmakers avoid engaging with these tools to establish ethical boundaries, proponents warn that efficiency-driven studios may dictate how the technology is deployed.

Why it matters

The rise of generative AI in film creates a critical tension between the democratization of creative tools and the existential risk to artistic labor, forcing a confrontation between efficiency-driven studio models and individual creative expression.