Agents of Change: Human in the Loop
What does it actually take to stay relevant through 15+ years of nonstop change in adtech? In this episode of Agents of Change: Human in the Loop, Aubriana sits down with Patrick Shea, Co-Founder of AdDaptive Intelligence, to unpack what most companies get wrong about AI, experimentation, and long-term bets. Patrick has built through every major wave—from early programmatic to machine learning to today’s AI boom—and he doesn’t buy into the hype cycle the way most of the industry does. Instead, he breaks down a more disciplined approach: how to place smarter bets, fail without blowing up your business, and know when to move on. They get into: Why most AI conversations sound the same—and what’s actually different this time The real reason companies are slow to adopt AI (it’s not what you think) How to structure experiments so they don’t turn into endless POCs The balance between bold bets and existential risk Why “momentum” and comfort are bigger blockers than technology Patrick also shares how early investments in automation gave his company an unfair advantage—and how that thinking translates directly into today’s AI landscape. If you’re trying to figure out where to lean in, where to hold back, and how to make decisions without perfect information—this conversation will sharpen your thinking.
7 episodios
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