Oscar-winning director Ron Howard addressed the viability of AI-generated films at the Runway AI Festival in New York this week. He told attendees that while the technology is democratizing storytelling, audiences will ultimately decide if these films succeed, and the promised efficiencies have yet to materialize in his experience.
Audience verdict and missing efficiencies
Howard did not offer a simple yes or no on whether these projects will succeed. He told Runway co-CEO Cristóbal Valenzuela that the technology helps storytellers tell their stories "more efficiently, more broadly," but he attached a clear caveat. "It's going to be, again, up to the audiences to determine what appeals, what resonates," Howard said.
This cautious tone extended to the practical benefits of the technology. Despite industry advances, Howard said he has not seen the expected cost reductions, faster image generation, or quicker editing turnarounds. "It seemed it's going to create a lot of efficiencies, but so far I can't say that I've seen it yet in my world," he said.
Industry divides and safeguards
Howard acknowledged concerns about the changes artificial intelligence brings to the creative community. He concluded that the community itself must develop the best legal and cultural safeguards for its use. "It's all our job to worry about it, think about it, experiment with it, learn from it, and talk to each other and work on it," Howard said.
Valenzuela offered a contrasting view, telling the crowd that much existing content is already AI-generated by users without negatively affecting traditional film production. Other major directors are also taking distinct positions. Martin Scorsese recently joined German AI startup Black Forest Labs as an advisor, while Steven Soderbergh discussed using Generative Video in recent and upcoming projects.
Why this matters for creatives
Filmmakers and creators should not assume that AI tools automatically deliver time or budget savings on current projects. Instead of waiting for the technology to mature, professionals working in AI for Creatives must actively define workflow standards and legal boundaries before audiences reject poorly executed experiments.
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