Why I Started Using AI to Produce Ad Creatives at Scale
A practical look at using AI-assisted production to create more ad variations, test ideas faster, and reduce the cost of each creative iteration.
The hard part of digital advertising isn’t making one good video.
It’s making enough variations to find out what actually works — and doing it before you’ve burned through your budget.
Most brands produce one polished video, put it out, and hope. If it doesn’t perform, they go back to the drawing board. The problem is that performance depends on a lot of variables you can’t predict in advance: the hook, the angle, the persona you’re speaking to, how the first three seconds land. You don’t know what works until you test it.
Advertising platforms reward testing. The more creative variations you can run, the faster you find what converts.
My workflow is built around this. Instead of producing each video from scratch, I start with a proven creative structure and generate variations around it.
Take a single product. It can be tested through different hooks, different pain points, different user personas — a busy professional, a student, someone in a small apartment, someone who just wants their routine to feel easier. Same product, different angle, different audience. Each variation gets its own version of the video without organizing a new shoot or rebuilding assets from scratch.
The production side uses AI-generated images and scenes, AI video generation, and automated editing — with human direction and quality control at each stage. The creative strategy, the brief, the judgment calls about what’s worth testing: that’s still the human’s job. What AI handles is the repetitive execution that used to make variation expensive.
The result is a higher volume of testable creatives in less time. For a straightforward lifestyle product, what used to require multiple production days can be compressed into a few hours of output.
This is particularly useful for TikTok and Meta campaigns, DTC brands running product tests, and any situation where creative fatigue is a real constraint — which, in performance advertising, it almost always is.
The brands that consistently outperform tend to be the ones testing more, not the ones producing less but more polished. Creative volume, when it’s paired with a clear testing framework, is a genuine competitive advantage.
That’s what I’m focused on building — a system that lets you test more ideas, find winning creatives faster, and spend less time in production for each iteration.