12/19/2025
For much of the history of advertising, the industry has been programmed to fear waste β especially production waste and media waste.
That mindset made sense for decades. Creative was expensive. Media was rigid. Every asset had to be justified upfront.
But that decades-long, embedded fear is not a good match for the age of AI.
What used to be considered waste now plays a very different role. In modern platforms, creative variation isnβt inefficiency β itβs training data.
Todayβs algorithms donβt optimize based on opinions or internal debates. They learn from signals: performance patterns, audience response, and creative diversity.
When input is limited, learning is limited.
In an AI-driven environment, the real risk isnβt launching too much β itβs launching too little for systems to adapt, learn, and scale effectively.
Modern results require modern inputs:
β’ Fewer assumptions
β’ More experimentation
β’ Smarter iteration
π¬ How many creative variations are you typically testing per campaign?