🚀 In this episode, I’m joined by Patrick Stuart-Constant, who has been building AI-driven creative systems long before it became mainstream.

Patrick breaks down how his team scaled from producing hundreds to thousands of ads per month using generative AI — and why more AI actually required more humans, not fewer.

He explains why “AI slop” isn’t an AI problem but a creativity problem, how to balance automation with human taste, and why the future of marketing belongs to teams that can combine velocity with originality.

If you're running paid acquisition, building creative systems, or thinking about scaling with AI, this episode is packed with practical insights and hard-earned lessons.

🎙️ What we cover in this episode:

✅ Why early adoption of generative AI created a compounding advantage

✅ The real reason most AI ads fail (and why it’s not the AI)

✅ How to scale from 4,000 → 10,000+ ads per month

✅ Why adding AI increased the need for human creativity

✅ How “unicorn ads” actually emerge from experimentation

✅ Using Bayesian models to find signal in creative testing

✅ AI agents for pre-ranking ads before spending budget

✅ Why creative velocity is the new moat in paid acquisition

Whether you're a founder, growth leader, or creative strategist - this conversation will change how you think about scaling ads in the AI era.

🔗 Learn more:

🌐 rocketshiphq.com - Growth systems for high-spend advertisers
🌐 http://MobileUserAcquisitionShow.com - feat. all things mobile user acquisition