AI Won't Make Your Film. But It Might Let You Make It Alone.

Everyone keeps saying AI will let anyone make a movie. Well, someone actually did it. It took 3,229 individual generations and 242 hours of work.

Not quite the "type a prompt and get a masterpiece" story we've been sold, is it?

So what actually happened?

A filmmaker has used generative AI tools to produce Catacombs — a movie concept that had been shelved for a decade because traditional production would have required a full crew, significant budget, and resources a solo creator simply didn't have. With AI generation tools, one person finally brought the project to life.

But here's the number that should make every designer sit up: 3,229 individual AI generations. That's not "press a button and done." That's thousands of iterations — curating outputs, refining, regenerating, and stitching together a coherent visual narrative from an inherently unpredictable process. The 242 hours of work confirm what many of us suspect but few want to say out loud.

AI-assisted creative work is still work.

The real story isn't "easy." It's "possible."

This is the part of the AI conversation that keeps getting lost in the noise. The genuine shift isn't that AI makes things effortless. It's that AI makes things possible for people who couldn't have done them before.

Ten years ago, if you had a vision for a film requiring elaborate scenes, complex visual compositions, dozens of environments — you needed a team. A budget. Infrastructure. Now, a single person with patience, taste, and a willingness to iterate thousands of times can produce something that would previously have been completely out of reach.

For designers, this matters enormously. We're already seeing the boundaries of "what a designer does" expand into motion, video, brand campaigns, visual storytelling. AI doesn't replace the creative vision — it replaces the production apparatus. You still need the ideas. You still need the eye. You still need to know when something's working and when it isn't.

But you no longer need a production team to execute.

That's a shift that favours designers specifically, because we already have the visual literacy and compositional instincts that separate a good AI output from a mediocre one.

Meanwhile, 75 oil paintings stole the show

Here's a lovely counterpoint. At Annecy this year — the world's biggest animation festival — the breakout hit was Danse Macabre, an animated short made from just 75 oil paintings. Physical canvases, hand-painted, each one serving as a frame in the animation.

No AI. No digital pipeline. Just paint, planning, and an extraordinary amount of craft.

The film captivated audiences precisely because of its tactile, unmistakably human quality. Every brushstroke visible. Every canvas a real object that exists in the world. As AI-generated visuals become more common, the things that can't be faked — physical materials, visible process, the evidence of a human hand — become more magnetic.

Both Catacombs and Danse Macabre tell the same underlying story: ambitious creative vision, brought to life through sheer persistence. One used AI as the enabler. The other used oil paint. Both required hundreds of hours and an almost unreasonable level of commitment.

The medium matters less than the dedication.

What this means for your practice

If you've been thinking about using AI to tackle a project that feels too big for one person — a short film, an animated brand piece, a visual narrative that would normally need a motion team — the Catacombs example suggests it's genuinely viable.

But go in with realistic expectations. You're not saving time so much as trading one kind of effort for another. Instead of managing a crew, you're managing an AI — which means generating, evaluating, regenerating, curating, and maintaining consistency across potentially thousands of outputs. That's a skill in itself, and it's closer to art direction than it is to "prompting."

The designers who'll thrive in this space aren't the ones who can write the cleverest prompts. They're the ones with the strongest visual judgement — who can look at 50 AI outputs and immediately know which three are worth keeping.

The takeaway

AI has made the one-person studio genuinely possible for ambitious visual projects. But "possible" and "easy" are very different words. If you're planning to use AI for something bigger than a single image — a film, an animation, a visual campaign — budget for the iteration. Budget for the curation. Budget for the hundreds of hours of taste-based decision-making that no AI can do for you.

The barrier to entry has dropped. The barrier to quality hasn't moved an inch.