AI in commercial video production: what it can and cannot replace

Generative video and AI-assisted editing tools improved enormously in a short span of time, and pretending otherwise would be dishonest. The useful question is not whether AI belongs in video production, it already does, but where it earns its place and where it produces something a client will regret publishing.

Where AI already helps, quietly

Rough-cut assembly from hours of raw footage, automatic transcription for subtitles and captions, noise reduction and audio cleanup, and color-matching across shots from different cameras are all tasks AI tools now handle faster than a human editor doing it by hand. None of this is visible in the final video, and none of it is controversial: it is the editing equivalent of a spell-checker, a tool that removes tedious work so a human can spend time on the decisions that matter.

Generative footage: useful for some things, wrong for others

Fully AI-generated video clips can work for abstract backgrounds, stylized transitions, or concept visualization during pre-production, showing a client roughly what a scene will look like before booking a crew. What they cannot yet do convincingly is replace a real product in a real customer's hands, a real location a viewer might recognize, or a real person whose face a brand is putting its trust behind. Audiences increasingly notice synthetic footage, and for a business built on trust (a workshop, a restaurant, a family-run brand) that recognition cuts against the message rather than for it.

The trust problem, not just the quality problem

Even where the technology is good enough to fool a casual viewer, using it without disclosure creates a risk that has nothing to do with production values: if a customer later learns that a "real" testimonial or location was generated, the damage to credibility is disproportionate to the money saved. For commercial work built around trust in a local business, transparent use of real people and real places remains the safer, and usually the more effective, choice.

What a director still does that no tool does

A director reads a room. They notice that a shot needs a second take because the founder's hands were shaking, not because the exposure was wrong. They know when a client's honest, slightly rough answer on camera is more persuasive than a polished script. That judgment, built from being physically present on set with the people in front of the camera, is the part of production that has not been, and likely will not soon be, replaced by a model trained on other people's footage.

Our actual position

We use AI tools for transcription, rough cuts and technical cleanup because they save time without changing what ends up on screen. We do not sell AI-generated footage as a replacement for a real shoot when the whole point of the video is to show a real business, a real product or a real person. If a client wants AI-generated content for a specific use case where it genuinely fits, we say so plainly, and we say so just as plainly when it does not.