AI video production for advertising

Video generation has improved quickly and unevenly. Understanding where it is reliable is more useful than a general assessment.

Where it works now

Abstract and atmospheric footage. Textures, light, movement, environments without people. Frequently indistinguishable from stock footage and considerably cheaper.

Concept visualisation. Showing a client or a team what a sequence would look like before committing to production. This has genuinely changed pre-production.

Short social content. Six to ten seconds where nothing needs to persist.

Extending and modifying existing footage. Filling a frame, removing an object, extending a shot. This is now routine in post-production.

Where it still fails

The consistency problem is the central one. A face that shifts between shots, a product whose details change, a room whose layout alters, all read as wrong to viewers even when they cannot say why.

The product problem

Generated video of a product you sell will not match the product. Details will be wrong.

That is a misrepresentation in advertising terms, quite apart from the credibility cost. Film the actual product.

The iteration cost

The tool cost is low and the time cost is not. Producing a usable ten-second sequence frequently takes dozens of generations and several hours of selection.

For a single asset that is still cheaper than a shoot. For a campaign requiring twenty consistent assets it frequently is not, and the arithmetic should be done rather than assumed.

Disclosure

Requirements for labelling synthetic media are being introduced in several jurisdictions, most clearly where realistic depictions of people are involved.

The safe position: label generated video containing realistic people, keep a record of what was generated, and treat the disclosure obligation as tightening rather than relaxing.

Where to start

The lowest-risk entry point is background and atmospheric footage in a video otherwise shot conventionally. It saves the stock footage budget and carries none of the consistency or misrepresentation risk.

The second is concept work, which is internal and where imperfection does not matter.