Kshitij Grover

This talk explores the complexities of pricing AI products, emphasizing that pricing is a form of friction that must be carefully managed to align with product value and audience needs. It moves beyond traditional pricing models to discuss AI-native considerations like predictability, speed of value demonstration, and rapidly changing cost structures. The core thesis is that effective AI product pricing requires a deep understanding of the target audience, value delivery mechanisms, and flexible margin structures, allowing for continuous experimentation and adaptation.