Commercial video production is going through its biggest change in decades. AI is not just speeding up the old workflow; it removes whole stages of it. The brief, the storyboard and the edit remain. The location, the crew call and the shoot day often do not. The question for a brand is what that does to the budget.
AI in Pre-Production
The creative process is the same: brief, concept, storyboard, direction, edit. What changes is what the storyboard commits you to. In a conventional production it is a plan for a shoot day; in an AI-native pipeline it is the specification the film is built against, so it is approved before production starts. Every commercial at NextEdge runs through the D⁴ framework, Define, Design, Develop, Distribute, and that sign-off keeps revision rounds cheap and predictable.
Share your existing brand films at this stage. Matching an established visual language is a normal part of the brief, and the storyboard is built against that reference.
Production Without a Shoot Day
A conventional commercial spends most of its budget on things the audience never sees: locations, crew, travel, insurance, and the days lost between them. This is the stage AI removes rather than improves. For Menaki, a luxury accessories label, we made a 33-second vertical campaign film in which the bag is the only real thing. The woman carrying it, the staircase and the colonnade were all generated. No model was cast, no usage rights negotiated, no location scouted.
The same applies to people. The Crewman, a UK events company, needed a launch film of a full crew setting a ballroom: head steward, lighting technician, banquet teams. Filming that means a venue, a call sheet and a crew to film a crew. Instead, every character, uniform and role was designed and generated, then choreographed through a room coming together. For a spokesperson, a digital clone does the same: The Crewman's founder fronts a recurring series from a clone built once from around thirty photographs, so each episode needs a script, not a shoot day.
What Changes in the Edit
In a conventional edit the footage is fixed. In an AI-native pipeline, revisions are handled in the pipeline rather than by reshooting, so a late change does not reopen the production. Landscape and vertical cuts come from the same production, and masters meet standard broadcast specifications for resolution, frame rate and colour.
The part that grows is checking. Keeping a real product identical while everything around it moves is where the work goes. The Menaki bag's hardware, stitching, chain and exact navy had to survive every cut and every change of light. A customer will forgive an invented building, not a clasp that changes shape between shots. So product details are checked frame by frame against the original photographs, one face is held consistent through the film, and the light has to belong to the scene.
The Impact on Brand Advertising
For brands, the economics invert. In traditional production the cost of a campaign scales with the number of looks, locations and seasons you want. Once a character or a likeness is designed, approved and reused, the first film carries the setup cost: the second video costs materially less than the first, and the tenth less again. The next drop does not start with another casting call.
That changes planning. Multiple hooks and edits per concept can be built for testing, and a variant regenerated when it fatigues. A launch date a traditional schedule cannot meet becomes reachable, and a product that is hard or expensive to film stops being a reason not to film it.
When Not to Use It
Whether a concept suits the pipeline is settled at the brief, not after you have committed. If a product's fine detail cannot be held exactly in every shot, the film should not ship; misdescribing the product is worse than no film at all. A likeness is built only with the consent of the person cloned, and ownership and permitted use are agreed before production begins. Disclosure is a further decision: the product films we made for Rubick carry a visible Synthetically Generated label.
Looking Ahead
When Kantar studied hundreds of ads made with generative AI, those where the AI was obvious scored lower on branding; those where it was not noticeable did well. Viewers do not mark a film down for how it was made, only when something looks wrong. What endures is the premium on direction, craft and a script worth watching, and the discipline to hold a product or a face fixed while everything around it is invented.
Produce Your Next Commercial with AI
NextEdge Studio produces commercials to broadcast specifications through an AI-native pipeline. Share the brief and we will tell you whether it fits.