Hollywood’s AI moment isn’t arriving through a text box. The clearest signal yet came out of this year’s Tribeca Film Festival, where, according to The Verge AI, a handful of experimental films showed that the technology only produces watchable cinema when human artists drive it with custom-built tools. The Verge AI reports that the festival’s standout, Google DeepMind’s Dear Upstairs Neighbors, leaned on bespoke versions of Veo and Imagen rather than the off-the-shelf models everyone else has been poking at.
This is significant because it reframes the whole debate. The question isn’t whether AI can write a movie on its own. It can’t, and Tribeca made that plain. The question is whether studios can build workflows where AI assists artists instead of replacing them.
The Hype-to-Output Gap Is Still Wide
For all the noise about gen AI revolutionizing filmmaking, no project has felt like something audiences would line up to see. Most video models still spit out short, visually inconsistent bursts. The result has been short-form slop, and major production houses haven’t shown they can do much better.
Tribeca’s weaker entries proved the point. The Verge AI describes Illuminai Studios’ Roar as a disorienting montage of clips rather than a cohesive film, and Asteria Film Co.’s ChikaBOOM! lacked the polish a fast-paced fantasy needs. Both felt like reflections of the technical limits baked into AI-forward pipelines.
Why the DeepMind Film Worked
Dear Upstairs Neighbors took a different route, and the contrast is instructive. Written and directed by Pixar veteran Connie Qin He, the short started with human-made concept art. Pixar production designer Yingzong Xin painted the look in Photoshop and with acrylics on paper.
Here’s the part practitioners should study. DeepMind’s engineers trained custom models on Xin’s art so the AI could stay visually consistent, something vanilla models struggle to do with a painterly style. Then the team:
- Built rough animations in Autodesk Maya, the industry standard for 3D work, to control how each scene unfolds.
- Fed those roughs into Veo to add polish.
- Layered in stylized assets from Veo and Imagen.
Human decisions drove every step. As The Verge AI puts it, the film felt like a case study in AI as a bespoke tool that assists artists rather than a vending machine for finished scenes.
One honest caveat, and The Verge AI flags it too: this short doubled as a commercial for Google’s tech. The polish is partly a sales pitch. Vanilla versions of the same models would not have delivered the same result, which is exactly the point.
OpenAI’s Awkward Week
OpenAI showed up too, which is notable given the company just decided to shut Sora down entirely. Alice Gu’s Smoked used Sora to recreate the Palisades Fire; wide shots looked cartoony, though close-ups shot on a Volume-style setup held up better. Youssef Michraf’s Mauvais Soleil turned the models’ short, choppy output into a deliberate style about a man whose life is warped by AI.
The broader dynamic is hard to miss. Some of Hollywood’s biggest AI partnerships have evaporated, and a shut-down product appearing at a festival shows how unstable the studio-Silicon Valley relationship still is. Studios can’t yet count on the tools staying around.
What to Do With This
For anyone building with generative video right now, the takeaways are concrete:
- Don’t expect finished work from a prompt. Treat gen AI as one stage in a human-led pipeline.
- Invest in custom models trained on your own art and assets. That’s where consistency lives.
- Keep traditional tools in the loop. Maya-style blocking gave the AI something coherent to enhance.
- Watch vendor stability. A model you build a film around can disappear, as Sora’s shutdown shows.
The near future of AI in film looks less like automation and more like a new brush in an artist’s hand. Studios that learn to grind their own tools will pull ahead of the ones still typing prompts and hoping. More detail on the Tribeca lineup is available at the original source.