How AI is Changing the Economics of Advertising

  

Advertising has always been closely tied to cost. A good idea is only the beginning. 

Turning that idea into a campaign can require writers, designers, photographers, filmmakers, editors, locations, equipment, and weeks of coordination. 

For decades, this production cost shaped what brands were willing to attempt. AI is beginning to change that equation.

The biggest change is not simply that AI can make an advertisement faster. It is that AI makes experimentation cheaper. 

A creative team can explore multiple visual directions, scripts, environments, characters, and formats before committing to a traditional production. Ideas that might once have been rejected because they were too expensive can now be explored first and evaluated later.

This creates an interesting shift in the economics of creativity. When producing another version of an idea becomes relatively inexpensive, brands can afford to test more ideas. Instead of putting most of the budget behind one concept and hoping it works, advertisers can explore several possibilities and learn which direction has the strongest potential.

The numbers suggest this is already happening. According to the Interactive Advertising Bureau, 86% of digital video buyers were using or planning to use generative AI to create video advertising in 2025. The organization also reported that advertisers expected around 40% of digital video creative to be built or enhanced with generative AI in 2026.

But cheaper production does not automatically create better advertising. In fact, it may create the opposite problem: too much content. When almost anyone can generate polished images and videos, visual quality alone stops being a meaningful advantage. The difficult part becomes deciding what is actually worth creating.

This is where the role of an advertising agency begins to change. AI can produce variations, but it does not automatically know which idea represents a brand, which story will connect with an audience, or which visual feels distinctive rather than familiar. The value gradually moves from simply producing an asset to directing the system that produces it.

There is also a larger economic effect. If brands spend less time and money producing individual assets, they can redirect that capacity toward testing, personalization, localization, and distribution. McKinsey's recent research suggests that AI could even increase overall advertising spending as companies find more opportunities to deploy creative and expect stronger returns from it.

The result is a new advertising loop: create, test, learn, refine, and create again. AI shortens the distance between these stages. Advertising starts to behave less like a one-time production project and more like an ongoing creative system that can respond to data and audience behavior.

There is, however, a limit that technology cannot remove. People's attention remains scarce, even when content becomes abundant. If AI makes advertising easier for everyone, differentiation becomes harder for everyone. The brands that benefit most will not necessarily be those generating the most content, but those using AI to explore ideas that people actually want to notice.

For BRVEAI, this is the most interesting part of the shift. AI isn't valuable because it allows us to make more advertisements. It is valuable because it allows us to explore more possibilities before settling on one. 

When the cost of experimentation falls, creativity gets more room to take risks. And that may be the real economic change AI brings to advertising.