On Monday, Google DeepMind and A24 announced a research partnership - Google investing a reported $75m, according to the Wall Street Journal - to develop AI tools for filmmakers. Plenty has already been written about what it means for the industry. I'm more interested in what it changes a few steps downstream, in the rooms where the graphics and props actually get made.
The terms are worth reading carefully. It's a non-exclusive research partnership: A24 gets access to DeepMind's research and infrastructure, and DeepMind gets a hand from A24's filmmakers in shaping the tools it builds. It explicitly does not include A24's content library or its data - Google isn't training models on the films. The studio is opening its process, not its catalogue. For a studio whose reputation is built on how it works, that's the more interesting thing to hand over. You can read the announcement on the DeepMind blog.
Why this lands in the art department
The early use everyone keeps pointing to is workflow - AI-assisted storyboards have been mentioned specifically, the kind of thing Scorsese recently put his name to. Storyboards sit upstream of almost everything I do. If previs and the look get locked faster, the art department gets the same questions earlier, and more often. Faster decisions upstream don't reduce the work down here; they just move it forward in the schedule.
The part I watch closest
Anything that touches on-screen content and clearance is where I pay attention. Tools that can draft interface mock-ups, signage or background graphics are useful, but they don't remove the decision that actually matters: what's real, what's fictional, what's cleared. That call still belongs in prep, with someone who knows the legal and period reasons it matters. A faster way to draft a phone screen doesn't change the fact that a person has to decide it shouldn't be a real logo - and handle it live on camera rather than in post.
The open question
The caution is real, and some of it is coming from inside the building. A24's audience skews young and largely wary of generative AI, and at least one of its own directors has called it a source of "creative rot". Both A24 and DeepMind are framing this as tools that stay invisible and in service of the work - not the prompted generation that makes people uneasy. That's the right framing. The test is whether it holds once the tools are in daily use and there's a schedule to hit.
For now it's a small, early deal - $75m is a modest bet next to an outright acquisition. But the direction is clear enough, and it's worth understanding from where I sit: not as a threat to the craft, not as a shortcut, but as one more thing that shifts when decisions get made, and who's in the room when they do.