What the Google–A24 AI Filmmaking Deal Is About
The Google DeepMind partnership with A24 is a multi-year agreement in which Google invests USD 75 million (approx. RM345,000,000) in A24’s Labs team to build AI filmmaking tools that support creative professionals rather than replace them, aiming to assist with production tasks, protect artistic control, and feed new capabilities back into Google’s wider AI ecosystem. For context, A24 is the independent production studio behind acclaimed titles like Moonlight, Lady Bird, Everything Everywhere All at Once, Marty Supreme, and Backrooms, known for giving unconventional stories and emerging filmmakers space to grow. Now, DeepMind’s researchers will work closely with the studio’s roughly 20-person Labs group, headed by former Adobe executive Scott Belsky, on applications that start with AI-generated storyboards and could expand across the production pipeline. Importantly, the agreement explicitly excludes training Google’s models on A24’s existing film and television catalog.
Inside the Google DeepMind Partnership with A24
At the heart of this Google DeepMind partnership is a bet that AI filmmaking tools can be assistive rather than intrusive. Early work focuses on an application that creates AI-powered storyboards, helping directors and production designers visualize scenes before cameras roll. A24 stresses that these tools “won’t look anything like the prompted generative type of AI that people feel uncomfortable with,” signaling a move away from simple text-to-video systems toward workflow-specific software for professionals. According to Google’s own blog, the “specific goals, technical outputs and creative milestones of this initiative will evolve over time,” pointing to a research relationship that could grow beyond storyboarding into scheduling, asset management, or post-production helpers. Eli Collins, Vice President of Product at DeepMind, framed the strategy plainly: “We believe breakthroughs happen when you get technology into the hands of the best minds in the field.”
Democratizing Studio-Level Production Workflows for Indie Creators
For independent filmmakers, the most important promise of these AI filmmaking tools is access. A24 has long styled itself as a home for directors whose projects “other companies wouldn’t touch,” backing distinctive voices and marginalised characters that larger studios often overlook. If the Google-A24 tools begin with storyboarding, they could lower the barrier to detailed visual planning by turning rough ideas into workable boards without needing a full-time artist. Over time, similar assistive features might support previsualization, shot list generation, or technical breakdowns from scripts, compressing tasks that usually require bigger teams and budgets. That matters for indie film production AI, because it nudges high-end workflows toward creators working on smaller scales. However, early access will likely flow first to A24’s internal network of filmmakers, so fully “democratized” tools may depend on whether and when Google folds successful prototypes into general products like Veo or other creative suites.
Creative Control, Backlash, and the Push for Assistive AI
The deal lands in an industry still wary of automation. Directors, actors, and writers have pushed back against generative AI that replaces human craft or mines catalogs without consent, and some producers have threatened legal action over alleged copyright violations. Within A24’s orbit, Kane Parsons, director of Backrooms, has called AI “genuinely harmful” and a sign of “cultural and economic rot,” echoing broader fears that automation will erode creative jobs. Scott Belsky, now leading A24 Labs, argues that the real problem is the perception that AI is there to make films cheaper and faster. His stated goal is to support risk-taking and preserve creative control, not to build prompt-driven systems that spit out finished scenes. By framing the Google DeepMind partnership around assistive tools—storyboards, not scripts—the studio is trying to draw a line between AI as a craft aid and AI as a creative replacement.
What This Signals for the Future of Entertainment Production
DeepMind’s investment in A24 fits a larger pattern: major tech firms are no longer only selling generic AI platforms, they are embedding directly into entertainment production infrastructure. Google already owns YouTube and offers Veo, an AI video generation tool, and has worked with directors like Darren Aronofsky on experiments with generative techniques. Elsewhere, Netflix has acquired an AI-focused start-up co-founded by Ben Affleck to help with post-production tasks like color correction and relighting. Together, these moves show AI shifting from novelty to backbone technology inside production workflows. For independent creators, that future cuts both ways. On one hand, targeted indie film production AI may remove tedious technical steps and open complex processes to smaller teams. On the other, reliance on proprietary pipelines from tech giants could centralize power over tools and standards, making access, licensing, and data policies pivotal questions for the next decade of filmmaking.
