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Despite being a general-purpose agent, Instinct's transaction volume is dominated by travel (50%). This suggests that personal agents' most valuable initial use case is automating high-consideration, complex purchases like flights and hotels, rather than simple commerce.
The true value of AI in commerce isn't in automating the final click to buy, as checkout is largely a solved problem. The significant user need is leveraging AI for deep research on high-consideration purchases. Facilitating the transaction is less valuable than providing trustworthy, comprehensive information.
A new user behavior is emerging: segmenting AI tools by domain. Users adopt complex agents like Hermes for demanding business tasks while using simpler agents like Instinct for personal logistics. This signals a market for specialized, not monolithic, AI assistants.
Dara Khosrowshahi argues that future travel innovation won't be in discovery, which LLMs will dominate. The real opportunity lies in creating AI agents for seamless booking and revolutionizing the "in-market" experience, such as eliminating physical hotel check-ins through mobile technology.
The highest immediate ROI from AI agents comes from creating a better user experience for managing personal tasks and information. The most-used agent was a simple, interactive to-do list, suggesting the power of agents as a superior personal UI is more valuable initially than complex system automation.
Contrary to expectations, human travel agents are a growing profession. They thrive by providing what AI can't: taste, curation, and real-time support. Smart agencies embrace AI not as a replacement but as a tool to handle boring administrative tasks, freeing up agents to focus on high-value client relationships.
After two decades of pushing users to self-service online platforms, the travel industry is returning to a conversational model powered by AI. MakeMyTrip's AI interface already handles 80-90,000 daily conversations, indicating strong consumer adoption for a more guided, interactive booking experience, especially for new internet users.
Personal agents could upend first-come, first-served systems like restaurant reservations. They will enable a dynamic negotiation where users can argue their case for a high-demand slot (e.g., an anniversary), shifting the system from pure planning to value-based allocation.
AI travel agents will likely focus on top-of-funnel search but will still need an aggregator like Amadeus to access complex, fragmented industry data. Amadeus's core IT backbone remains mission-critical in any AI-driven travel world, securing its position.
Complex, multi-stop trips once required obsessive planning that deterred many travelers. By managing the logistical burden, AI agents now empower casual planners to undertake more ambitious and rewarding journeys that they would have previously deemed too difficult or risky to attempt.
Travel involves complex, dynamic tasks with real but not catastrophic consequences for failure. This makes it a perfect 'Goldilocks zone' for users to test and build trust in an AI's ability to handle multi-step processes before they are willing to deploy it on high-stakes business activities.