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The travel industry is currently undergoing a monumental shift from a search-based economy to a solve-based economy, driven by the emergence of Agentic AI. While previous iterations of artificial intelligence focused on generating conversational content and itineraries, Agentic AI distinguishes itself by its ability to execute complex tasks autonomously. Utilizing Large Action Models and Multi-Agent Systems, these advanced digital concierges can move beyond mere suggestions to perform real-world actions such as booking flights, negotiating refunds, and managing trip disruptions. This evolution marks the move from the information era to the era of agency, where the value of technology is measured by tasks completed rather than time spent on a platform.This episode explores the technical and strategic implications of integrating autonomous agents into the global travel infrastructure. We examine the rise of the connected trip and the transition toward zero-hallucination architectures that ensure reliability and policy compliance. However, the path to full autonomy is not without significant hurdles, including legal liabilities highlighted by recent court rulings and the critical need to bridge the consumer trust gap regarding automated payments. By analyzing case studies from industry pioneers like Expedia and Navan, we discuss how travel leaders must re-architect their digital strategies to prioritize action-oriented infrastructure and prepare for a future where personal AI agents negotiate directly with service providers.