AI Video
What is AI video production? A plain-English guide
AI video has gone from novelty to a real production option. Here's what it actually is, how a project works, and how to tell whether it's right for your next film.
The short version
- AI video production means making films with generative AI tools, then editing and finishing them like any other film.
- It shines for scenes that are impossible or expensive to shoot, product visuals, stylised looks and fast variations.
- It's not the right tool for real events, real people without their permission, or anything that must be documented as it happened.
- The results depend on direction and finishing. The tools generate shots; people make them into a film.
AI video production, in one sentence
AI video production is the process of making films with generative AI models, which turn written prompts, still images or existing footage into moving pictures, and then editing, sound-designing and grading those shots into a finished piece.
In other words, the camera, the set and the crew are replaced (or supported) by software. What isn't replaced is everything that makes a film work: the idea, the script, the direction, the edit and the finish. That part is still very much a human job.
How an AI video project works
A well-run AI video project looks a lot like a traditional production, just with a very different middle.
- Brief. What should people feel, do or remember? Who are they, and where will they watch it? This shapes everything that follows.
- Script and treatment. The story is written as normal, with a shot list and a visual direction.
- Style frames. Before anything moves, key stills are generated so you can approve the look: the lighting, the colour, the world.
- Generation. Each shot is generated, usually many times over. For every shot you see in a finished AI film, there are often several takes that didn't make the cut.
- Edit, sound and grade. The best takes are cut together, given sound and music, and colour-graded so the whole film feels like one piece.
- Versions. Widescreen, square and vertical cuts, shorter edits for ads, and alternative endings are far quicker to make than on a traditional shoot.
What AI video is brilliant at
- Impossible or unaffordable scenes. Other planets, underwater worlds, a product floating through a storm of light. Things that would need a large VFX budget become part of the normal process.
- Product visuals. Your product in any setting, season or mood, built from photographs of the real thing.
- Stylised looks. Painterly, surreal, retro or animated styles that would otherwise need a specialist animation team.
- Trying ideas quickly. You can see two or three creative directions as moving pictures before committing to one.
- Lots of versions. Different hooks, lengths and formats for each platform, which matters when you're testing ads.
Where it still struggles
AI video is improving quickly, but it's worth being honest about where it takes extra care, or isn't the right tool at all.
- Long, continuous scenes. Keeping a character, outfit or location perfectly consistent across many shots takes careful direction and editing.
- Text and logos inside the shot. Generated lettering can come out garbled, so brand names, logos and on-screen text are usually added afterwards in the edit.
- Exact product details. A generated product can drift from the real one. Working from real product photos and checking every frame keeps it accurate.
- Real people and real events. Testimonials, documentaries and event coverage need real footage. Using a real person's likeness needs their permission, full stop.
AI video vs a traditional shoot
| Traditional shoot | AI video | |
|---|---|---|
| Crew, kit and locations | Needed for every shoot day | Not needed |
| Changes after filming | Often means a reshoot | Shots can be regenerated |
| Impossible scenes | Need a VFX budget | Part of the normal process |
| Real people and real events | The right tool | Not the right tool |
| Exact likeness of a real product | Straightforward | Needs care and real reference photos |
| Versions for every platform | Possible, but planned from the start | Quick to add at any stage |
Many of the best projects use both: real footage of your team or your premises, extended and enhanced with AI-generated scenes.
Rights, labels and doing it responsibly
A few things are worth agreeing before any AI video project starts.
- Usage rights. Agree in writing how you can use the finished film, and ask which tools will be used and what their commercial terms allow.
- Likeness and style. Real people should only appear with their permission, and a film shouldn't imitate a living artist's signature style.
- Labelling. Platforms including YouTube, TikTok and Meta's apps ask creators to label realistic AI-generated content.
- Advertising rules. In the UK, ads must not mislead. An AI-generated scene shouldn't exaggerate what your product looks like or does.
Is AI video right for your brand?
It's probably a great fit if you want something visually ambitious, you need several versions for different channels, or your idea would be too expensive to shoot for real. It's probably not the right choice if the film is about real people telling their own story, or it has to show an event exactly as it happened.
If you're not sure, that's a normal place to start. Tell us what you're trying to achieve and we'll tell you honestly whether AI, a traditional shoot or a mix of both will get you there.
See how we approach it on our AI video production page, or bring stills and logos to life with AI animation.