19 February 2026 · Bogusław Kisielewski

Realistic AI Video and the Games Industry: Opportunity or Trap?

Until recently, realistic AI-generated video was, in the games industry, mainly a showcase of technological possibilities — impressive, but of little use in teams’ day-to-day work. Today it is increasingly clear that the technology is entering areas that really affect production. Generated video makes it possible to show an idea for a scene, the mood of a world or a character’s emotions in a very short time, before any playable prototype exists. The first test of a concept therefore moves from the stage of builds and playtests to a much earlier phase — before the project starts consuming the team’s full resources.

With this shift, players’ expectations rise quickly, often faster than the project can live up to them. Realistic AI video acts as an amplifier of promises: it raises the visual bar before the game has had a chance to show what it really is in interaction. If the first contact with a title is a perfectly generated scene, players expect similar direction, realism and fluidity across the whole game. The trouble is that AI video takes no account of system constraints, the pace of play or the design compromises without which there is no game. The gap between the image and the gameplay can therefore grow — not out of any bad intent on the developers’ part, but because of visual promises made too early and too suggestively.

In practice, AI video increasingly touches the very core of game design: the mechanics. Teams quickly face a choice: treat generated scenes as inspiration, or as a template to which the gameplay systems must be “fitted”? In the second case it is easy to fall into the trap of designing from the image to the interaction rather than the other way round. Mechanics then become a justification for spectacular moments instead of building a coherent player experience. AI video can help a great deal in discussions and iteration, but only with a clearly drawn line: what goes into the game is decided by the systems, not by whatever looks best in a generated scene.

This is where the weight of change shifts to developers and their decisions. Realistic AI video is like a merciless mirror: it strengthens well-thought-out assumptions, but just as easily exposes chaos in a project. If a team lets a spectacular image start leading the project, it will soon turn out that the game looks beautiful but cannot hold the player. If, however, AI video is deliberately subordinated to the gameplay systems and the player experience, it can bring order to decision-making instead of cutting corners. The paradox is that the easier it is today to get convincing images, the more maturity it takes to decide which of them deserve to become a game. It is precisely the ability to tell inspiration from a signpost that will decide whether AI video becomes a catalyst for quality in gamedev, or just another layer of illusion.

You will find more of my writing at: https://boguslawkisielewski.pl/blog

Based on a Polish post at boguslawkisielewski.pl.