Gary Vaynerchuk argues that the marketing industry wrongly demonizes a high volume of creative output. He reframes it as taking more "shots on goal," a strategic necessity in an algorithmic world that allows brands to efficiently test relevance with different consumer segments.

AI's speed and low operational cost make the price of creating variations—whether for email subject lines, ad campaigns, or entire website interfaces—almost zero. This fundamentally alters the creative process, allowing for mass customization and rapid, extensive testing that was previously impossible.

Traditionally, creating variations of creative assets like ads or designs required significant time and cost. With AI, generating countless alternatives is nearly free. This allows marketers and creators to iterate endlessly on a promising idea, moving from "give me 5 options" to "give me 5 more based on this best one" repeatedly.

As AI democratizes ad creation, the key differentiator is no longer production capability. Instead, marketers who excel at creative prompting and use AI to maximize the speed of testing and learning will gain a significant competitive edge.

Ridge automates ad creation using a custom GPT and N8N, producing 500 static ads daily. Even if 90% are unusable, the remaining 50 ads provide a constant stream of testable creative, increasing the chances of finding winning variants for personalized campaigns at scale.

Large CPG players have slow, agency-driven feedback loops. Nimble DTC brands can win by rapidly testing creative, messaging, and offers online, gaining an insurmountable learning advantage. Speed itself becomes the strategic edge, not just a byproduct of being small.

While most marketers test a handful of ads, top-tier advertisers leverage AI to run over 800 variations simultaneously. This massive scale of testing is what uncovers the few winning hooks and angles that can skyrocket a business, making AI a necessity for competitive performance marketing.

Use Autoresearch to automate experimentation at a massive scale. This allows an agency to offer a compelling value proposition: running hundreds of tests for the same price as competitors who only run a few, leading to faster optimization and better results.

The common view of AI is to increase efficiency or replace headcount. A more powerful approach is to maintain your team and leverage AI for abundance. Use it to triple your output, running five marketing campaigns instead of one and exploring numerous variations to dramatically increase growth.