The short answer is: a lot more than you'd think, and most of them aren't talking about it publicly.

AI-generated ad creative has quietly moved from "interesting experiment" to standard operating procedure for a significant chunk of DTC brands, app companies, and even some enterprise advertisers. The stigma that existed in 2023 and 2024, where using AI creative felt like cutting corners, has largely evaporated as the output quality has caught up to human creative.

The big brands

The publicly documented cases are mostly from large companies that have talked about their AI adoption openly.

Coca-Cola ran AI-generated holiday campaigns and has integrated AI into their creative production pipeline. Whether you thought those ads were brilliant or terrible, the fact that one of the world's most brand-conscious companies is using AI creative tells you where the industry is heading.

Heinz ran an AI-generated campaign exploring what AI "thinks" ketchup looks like, turning the AI generation process itself into the creative concept. Smart move: they didn't try to hide the AI, they made it the story.

Toys "R" Us produced an AI-generated brand film that got significant attention. The reception was mixed, which is instructive: AI works better for performance marketing (where results matter) than for brand storytelling (where emotional nuance matters).

Meta and Google themselves are building AI creative tools directly into their ad platforms. Meta's Advantage+ Creative suite generates ad variations automatically. Google's Performance Max creates ad assets from product feeds. When the platforms are building AI creative into the default workflow, it tells you this isn't a trend. It's the new infrastructure.

The DTC brands you haven't heard of

The more interesting story is in the mid-market. Hundreds of DTC ecommerce brands doing $10K-$500K per month in revenue are using AI ad creative tools as their primary creative production method. These brands don't publish press releases about their AI adoption. They just quietly generate their ads with tools like Flayr, Arcads, or Creatify and run them alongside (or instead of) agency-produced creative.

The pattern is consistent: a founder who was either spending too much on an agency, struggling to find reliable UGC creators, or simply couldn't produce creative fast enough to keep up with creative fatigue. They tried an AI tool, found the output was good enough to run profitably, and gradually shifted more of their creative production to AI.

Some of these brands are running 100% AI creative. Others use AI for their testing volume (10-20 variations per month) and reserve human creative for their proven winners. Both approaches work, depending on the brand's aesthetic standards and budget.

Why most companies don't advertise it

You'll notice that most brands using AI creative don't mention it. There's no "Made with AI" badge on their ads. The reasons are practical:

Consumers don't care how the ad was made. They care whether the product solves their problem. A skincare brand's customers aren't evaluating the production method behind the UGC testimonial. They're evaluating whether the product works.

Disclosing AI use invites scrutiny that the brand doesn't benefit from. If you say "our ads are AI-generated," a subset of your audience will watch the ad specifically looking for flaws. If you say nothing, they watch the ad as an ad. The creative either works or it doesn't, regardless of how it was made.

There is no legal requirement in most jurisdictions to disclose AI-generated ad creative, though this is evolving. Some platforms are beginning to require disclosure for AI-generated content, and regulations may tighten. Brands should monitor this.

What this means for smaller brands

If Coca-Cola, Heinz, and hundreds of DTC brands are using AI creative, the question isn't whether AI ads are legitimate. It's whether you can afford not to use them while your competitors do.

The competitive dynamic is straightforward. A brand using AI creative can test 20 ad variations per month for under $50. A brand using traditional creative production tests 3-5 variations for $500-$2,000. Over 6 months, the first brand has tested 120 variations and found 10-15 winners. The second brand has tested 18-30 variations and found maybe 3-5 winners. The compounding advantage in creative intelligence is significant.

This is actually what drove us to build Flayr around competitor intelligence. We figured that if everyone is going to use AI creative (and they are), the differentiator isn't the AI generation itself. It's knowing what to generate. Scraping TikTok Ad Library to find which competitor ads have been running longest, extracting the winning formulas, and using that data to inform the creative is what separates "random AI generation" from "strategic AI creative."

The companies using AI ads effectively aren't just generating random content faster. They're generating informed content faster.