Making a feature film with AI: what it really costs and the smart alternative

Every week I get the same message: “I want to make a feature film with AI, I’ve got a budget of around €2,000, how long does it take?” The honest answer, the one nobody wants to hear, is that with €2,000 you don’t make 90 minutes of AI film — you make maybe 30-40 seconds done properly. And there’s a structural reason for it, this isn’t pessimism.

This article breaks the cost myth, gives you a real order of magnitude, and above all proposes the smart alternative: the way AI actually gets you close to a feature film today, without burning a budget you don’t have.

The number nobody tells you

Let’s start with a public, verifiable figure. Higgsfield produced Hell Grind, a 95-minute sci-fi feature made entirely with AI: total cost around $500,000, of which ~$400,000 was compute alone — 80% of the budget. This isn’t an amateur in a garage: it’s one of the most advanced teams in the world, valued at over a billion dollars.

But the number that really explains everything is another one:

Translated into cost: ~$400,000 of compute for 95 minutes works out to about $4,200 per minute of generation alone. A 90-minute film scales toward ~$380,000 in compute — before you even count directing, editing, sound design, color, and the human work of selection (those 63 discarded takes out of 64, someone has to watch them and choose).

Honest note: compute costs are dropping fast and every project is different. But the order of magnitude — hundreds of thousands of euros for a quality narrative feature — is the real snapshot of 2026. Not €2,000 for 90 minutes. Figures reported by Slashdot.

Why runtime is the real enemy

A 30-second commercial is made of 10-15 shots. A 90-minute feature is thousands of shots, and the cost doesn’t grow linearly — it grows worse. Here’s why:

Bluntly: today, for the vast majority of projects, producing an entire feature film fully in AI makes no economic sense. Not because it’s impossible — we produce narrative formats in AI too — but because the ratio between what you spend and what you get, over 90 full minutes, doesn’t hold up yet. Anyone who tells you otherwise either has never finished a long project, or isn’t telling you the real cost.

The alternative that actually works (and that you actually need)

Here’s the point that changes everything. You don’t need to produce the film to sell the film. You need to prove the film exists, is possible, and has a soul. And for that, AI in 2026 is the most powerful tool that has ever existed.

Instead of burning your budget on 90 minutes, build a proof of concept package: a presentation package you bring to production companies, broadcasters, investors. A project that you can see, not just read.

Production companies don’t decide on a script. They decide on a vision + a proof of feasibility. An AI trailer and a character bible communicate in 3 minutes what 120 pages of screenplay can’t make you feel. And they cost a fraction of a feature: we’re talking a few thousand euros against the half-million of a Hell Grind. This is where AI delivers the maximum return — not to make the film, but to get a yes from whoever finances it.

Why this is the right path in 2026

This is exactly the approach behind our SLATE system: tracking characters, locations and tone so they stay consistent — the same discipline needed for a teaser applies, at scale, to a feature. The proof of concept isn’t a fallback: it’s the first, real production step of your film.

What a pitch-ready package contains

For clarity, here’s what we typically deliver in a package like this:

In short

If someone promises you a complete AI feature film for €2,000, they’re selling an illusion — and the real bill arrives halfway through, when the credits run out and consistency collapses. The Hell Grind figure (around $500,000 for 95 minutes, of which ~$400,000 in compute alone) is there to remind us.

But the good news is bigger than the bad: you don’t need the million to get your film off the ground. You need a proof of concept that sells the vision. And that, today, AI does beautifully and at accessible costs.

If you’ve got a feature project in the drawer, don’t throw it at 90 minutes generated blind. Let’s talk in a free diagnostic call: together we’ll figure out the right proof of concept to put it in front of the people who can finance it. To see how we build consistency and quality into our projects, look at the SLATE methodology and our custom productions.