This Cannes Film Cost $500,000 to Make. $400,000 Was AI Compute Costs.

Summary

Higgsfield AI is debuting a 95-minute fully AI-generated film at Cannes called "Hell Grind" that reportedly cost $500,000 to make, $400,000 of which was spent on compute alone. The project took just two weeks to produce and is intended to showcase the startup's AI production tools. But it also underscores the current limits of AI filmmaking: thousands of detailed prompts, endless iteration, high costs, and plenty of traditional filmmaking judgment were still required. The Wall Street Journal reports: What might surprise viewers is how much technical film know-how was needed to create the movie, said Adil Alimzhanov, a content lead at Higgsfield who also worked on it. "You have to understand camera composition, which shots are changed. Like you can't have two close-ups back to back, you have to start with an establishing shot," he said. "You still need those filmmaking skills." Higgsfield, which was valued at $1.3 billion in its latest funding round earlier this year, crossed $400 million in annual revenue run rate in May. It doesn't make the actual video-generation models, relying instead on existing tools like Google's Veo 3. But it does provide the tooling on top to make sure that the visuals are consistent across all the incoming generations. The core of the movie-making process here was prompting the AI models and getting clips back, Alimzhanov said. Each prompt would generate about 15 seconds of footage. Those 15 seconds needed to be generated a number of times, with tweaks to the prompt to get the best possible version. The first 25 minutes of the movie required 16,181 initial video generations, which ended up as 253 final shots. One of the biggest difficulties in making longer-form films with AI is maintaining consistency across the outputs. AI models can be unpredictable, and a feature-length film can't have scenes that look completely different from one moment to the next. Because of that, every prompt had to be extremely long and detailed. Each one would t...