In this episode, Amarinder Sidhu joins Matt Wyman to challenge the conventional “human in the loop” framing in AI development. They argue that treating AI as a standalone tool with periodic human oversight limits innovation, and instead advocate for systems thinking that places AI within broader, user-centered workflows. The conversation explores how redefining human roles, prioritizing user experience, and designing cohesive systems can lead to more effective, intuitive, and scalable AI-native products.