By Federico Soto Roland — Brand Strategy, AI & Digital Director, NSB Agency.

AI didn't democratize good ideas. It democratized the ability to produce them at the level we imagine. And that changes the rules between leaders and challengers.

For decades, the fight between a leading brand and a challenger had an asymmetry no one questioned. The challenger might have the best idea in the room, but rarely could it execute that idea with the budget and quality it needed. The leader had the budget to shoot it and squeeze every drop out of it.

Because producing a big idea is almost never cheap. It asks for locations, casting, wardrobe, art, effects, a good director and a shoot that doesn't collapse in the rain. There, in the step from idea to screen, was where the challenger lost. Not for lack of talent, but for lack of scale.

We all know the result. Brilliant ideas trimmed until they're unrecognizable, scripts rewritten around the budget instead of around people, and a line we've heard a thousand times in meetings: “it's great, but we can't afford it.”

What changed

Generative AI broke that bottleneck. Today a challenger brand can put a world, a character or a scene on screen that two years ago was only within reach of a top-tier production.

But let's be precise, because here's the fashionable misunderstanding: AI doesn't level the ideas. It levels the production. A mediocre idea generated with AI is still a mediocre idea — just faster and cheaper to see.

What changed is that the question stopped being “can we afford it?” and became “is it good enough?” And that's a creative question, not a financial one. That's why we say there are no more excuses: if the piece isn't up to par, the problem is no longer the budget.

Our method: a traditional campaign, with AI at every step

At NSB we don't use AI to skip the process. We use it to go through it fully — better and faster. We follow the same steps as any serious campaign, with the difference that every stage is supercharged with generative tools.

  • Ideation. We explore far more creative routes than a team could develop by hand in the same time. AI doesn't pick the idea: it helps us find more and discard the weak ones sooner.
  • Storyboard. The ideas that survive are visualized frame by frame from day one. The client doesn't approve a text they have to imagine; they approve something they can already see.
  • Characters. We design the spot's protagonists the way you do a casting: features, age, attitude, how they move. And we lock them so they're the same in every shot.
  • Art direction. We define palette, locations, light and textures before producing a single second of video.
  • Wardrobe. Each character has defined, consistent clothing, like on any shoot.
  • Acting. We decide the kind of performance: the gesture, the rhythm, the intensity. It's what most gives away an AI-generated piece, so we work it the way a director would work with an actor.

The key point is that all of this is defined and approved before generating the final video. Just like in a traditional production, no one shoots without a locked plan. The difference is that we reach that plan with far more material, in far less time.

Heads up: not everything can be done 100% with AI — but the models get more powerful every day. And best of all, there are hybrid approaches where, with footage and acting done in low-budget settings, we can bring a well-acted blockbuster to the screen.

From approval to screen

With the idea approved, only then does production begin. We use every generative video and image tool available to bring each shot to life, always based on the characters, art and wardrobe we already defined.

And here's the part many people skip: generation is not the end, it's the raw material. On top of that, our team works with the same craft as always:

  • Design, to fix, complete and unify what the machine doesn't resolve on its own.
  • Video editing, to give the piece rhythm, intention and narrative.
  • Color, so every shot lives in the same look and the piece feels shot, not generated.

The goal is clear: real quality and the least possible perception of AI. So that whoever sees it in the feed or on TV doesn't think about the tool — they think about the brand.

What AI doesn't do for you

Making production accessible has a side effect: the market is filling up with AI-slop. Generic pieces, characters whose faces change from one shot to the next, puppet-like gestures, and that whiff of AI the audience has already learned to spot in a second.

That — accelerating as the generative models improve — is not the technology's fault. It's what happens when it's used to replace judgment instead of amplifying it. Generating a pretty video is easy. Making a brand look the same in every piece, a character act with intention, and the story work, still takes what it always took: a good idea, direction, sound creative judgment and a lot of craft.

That's why the advantage doesn't belong to whoever uses AI — because soon everyone will. It belongs to whoever knows how to direct it.

No more excuses

For challenger brands, this is the most interesting moment in a long time. For the first time they can compete on the field where they always lost: visual impact and production ambition.

The leader still has more budget. But the budget no longer decides who has the most powerful piece. That's decided by whoever has the best idea and the best team to make it real.

Creativity is back in charge. And if the idea is good, there are (almost) no more excuses not to make it.