The business travel industry is undergoing a profound transformation, driven by the integration of artificial intelligence. Globéo Travel, a French agency specializing in corporate travel, is at the forefront of this change. Under the leadership of Grégory Mavoian, the company is deploying agentic AI in 2026 to automate reservations while seamlessly integrating client travel policies. This shift is not just about efficiency; it's about redefining the role of the travel advisor from a transactional agent to a strategic consultant. For ATPL and ATC students, this evolution has direct implications. As business travel becomes more automated, the demand for air travel is likely to become more predictable and data-driven. Airlines and airports will need to adapt to new booking patterns, with AI potentially smoothing out demand peaks and troughs. Understanding these trends is crucial for future pilots and controllers who will operate in an increasingly digitized ecosystem. Moreover, the rise of AI in travel management underscores the importance of data literacy and adaptability in aviation careers. Globéo Travel's approach highlights a key tension in the market: large agencies often prioritize technology over personalized service, while smaller ones focus on human touch but lack tech sophistication. By positioning itself in the middle, Globéo Travel demonstrates that technology can enhance rather than replace human expertise. For aviation professionals, this serves as a reminder that automation tools are designed to augment decision-making, not eliminate it. Pilots and controllers will increasingly work alongside AI systems that handle routine tasks, allowing them to focus on complex, safety-critical decisions. The company's proprietary tool, My Overview, uses algorithms to match clients with preferred advisors based on satisfaction scores, fostering personalized relationships even in a digital environment. This concept of using technology to build trust and loyalty is directly transferable to aviation. For instance, airlines are already using AI to personalize in-flight experiences and optimize crew scheduling. ATC students should note how similar algorithms could be applied to manage airspace capacity or predict traffic flows. Finally, the shift from air to rail for short-haul business trips, accelerated by the pandemic, is a trend that ATPL students must monitor. As more companies adopt sustainable travel policies, the demand for regional flights may decline, affecting route planning and aircraft utilization. Understanding these market dynamics will be essential for future aviation leaders who need to anticipate changes in passenger behavior and regulatory frameworks.