Is AI about to steal the show, or is it the indie filmmaker's new best friend? The rise of artificial intelligence in filmmaking has sparked fear and excitement in equal measure. Just a few short years ago, the notion of a fully AI-generated movie – script, visuals, and performances – felt like pure fantasy. Now, with tools like OpenAI's Sora capable of producing incredibly realistic video from simple text prompts, and the emergence of 'AI talent' seeking representation, the industry is buzzing with both anticipation and a sense of impending doom. But here's where it gets controversial: Is this the dawn of 'Skynet Cinema,' threatening to replace human creativity, or a golden opportunity for indie filmmakers to punch above their weight?
Guy Danella, president of film at XYZ Films, a company known for championing independent genre films, vividly recalls a pivotal moment. "I got a full treatment which was: ‘We’re going to make a 90-minute movie all with AI, will you finance it for a couple of million bucks?’” Danella recounts. "What if we said yes? What are the implications?" This question, he says, marked a turning point, leading him to coin the term 'Skynet cinema' to describe the potential displacement of human filmmakers.
Bryn Mooser, head of nonfiction studio XTR, takes a more optimistic view. While acknowledging that the indie film industry may be facing a reckoning, he believes it doesn't have to be a catastrophic, Terminator-style event. Mooser's XTR has launched Asteria, an AI animation group, with projects already in development with notable creatives like Natasha Lyonne and Will McCormack, a writer on 'Toy Story 4'. And this is the part most people miss: Mooser emphasizes that the transformation isn't solely about AI.
"There is a confluence of two technologies happening right now that are enabling this massive transformation. One is that NVIDIA chips are making rendering really fast, even real time. That’s not even an AI thing, it’s just a transformational moment in what it costs to render," Mooser explains. He continues, "The second real revolution is in training custom AI models so they can become an extension of the creative team’s hand, compressing the time it takes to do storyboards or previs, animatics, backgrounds, whatever.” In essence, ultra-fast rendering combined with AI models trained on specific artistic styles and datasets has the potential to revolutionize filmmaking.
For major studios, Mooser argues, this combination translates to faster and cheaper production of large-scale projects. However, his vision for Asteria is to leverage these technologies to empower indie filmmakers, enabling them to realize projects that were previously financially impossible. Imagine being able to create visually stunning scenes or complex animations on a shoestring budget!
"This shouldn’t be about how you can make 'Anora' cheaper, which I don’t think AI could do anyway, but about how can you help indie filmmakers to make their projects bigger and get them done on a budget," he asserts. "What we have with the potential of AI is the democratization of studio-level films." Consider this: an independently financed animated feature costing $80 million is typically a non-starter. However, the same project, created with AI tools for under $10 million, becomes a viable, and potentially lucrative, proposition.
XYZ Film’s Danella echoes this sentiment, questioning, "Is there a way to use [AI] as a tool to make x amount of savings so we can get another day of shooting into our budget? That’s the sort of conversation that makes more sense.”
Asteria's approach is particularly noteworthy. They focus on developing custom AI models in close collaboration with creators, training them on licensed or original material. This stands in stark contrast to the controversial 'opt-out' model used by ChatGPT and Sora, which involves scraping existing intellectual property (IP) – a practice that has raised serious concerns about copyright infringement, and has caused studios and agencies to issue warnings. This week, a court in Munich ruled that ChatGPT violated German copyright laws by reproducing lyrics from nine popular songs, a landmark win for rights society GEMA that could set the tone for European litigation over AI training data. OpenAI is appealing the ruling.
Contractually, the industry is adapting. At the AFM, international buyers and sales agents report that disclosure language is increasingly appearing in reps-and-warranties, requiring transparency about AI usage: Was AI used? Where? And on what datasets? "It’s just insurance against possible future legislation," one sales rep explains. That growing paper trail reflects a deeper anxiety running through the business: That the real battleground over AI isn’t creative but legal. After years of data scraping done in the shadows, IP protection has become the industry’s new red line.
"Our whole business is predicated on IP. If you do not protect the IP, no more business," emphasizes Darren Frankel, who leads AI initiatives at Adobe. He argues that the debate shouldn't be framed as 'for' or 'against' AI, but rather as 'ethical versus unregulated.' But if the entertainment industry waits for government legislation, "[you'll] be waiting a while," Frankel warns. His advice is blunt: sue early and sue often.
Frankel highlights the immense financial power driving AI development. "I spoke at the DGA, and what I opened with was that four companies: Amazon, Meta, Microsoft and Google are projected to spend $364 billion this year alone, most of that in AI infrastructure. Now look at the size of our industry. Where do you think we fit in that arena? Basically, that’s my passive-aggressive way of saying: You’re not going to hold that tide back. So how do you fight the good fight? How do you pick what to target?"
Mooser believes the AI-led disruption of the film industry is inevitable. "Technicolor shut down before AI even had its effect," he points out. "We actually haven’t seen the AI effect on the industry inside of VFX or animation. [But] the question is: Do you fight for an old way of doing something, or do you fight really hard to build opportunities for the next generation of this industry?”
Danella, however, remains committed to human-centric filmmaking. "Fundamentally, I believe in the human flaws, in the good and bad that comes with human filmmaking," he says. "The hope is that there’s a way to have synergy, to make better movies creatively with more humans working more days by embracing a component of AI."
Frankel sums it up succinctly: "If you don’t have that humanity in it, it’ll be all frosting and no cake." So, what do you think? Is AI a threat to the soul of filmmaking, or a powerful tool that can democratize creativity? Can we find a balance between technological advancement and the protection of human artists and their intellectual property? Share your thoughts in the comments below!
