Summary of Key Points from the Conference Call on Agentic AI in Travel Industry Overview - The focus is on the online travel industry and the impact of agentic AI on travel distribution [2][4][7] - The current landscape is dominated by intermediaries like Google and OTAs (Online Travel Agencies) which take a significant share of industry profitability [2][17] Core Insights - **Intermediary Role**: Travel distribution relies heavily on intermediaries to manage fragmented supply and provide visibility to suppliers [2] - **AI Integration**: AI-powered property management systems (PMS) are emerging, necessitating AI agents to handle increased personalization and complexity in bookings [3][29] - **Agentic AI Evolution**: The key question is which AI agent will dominate the travel space, with current players like OpenAI and Google forming partnerships with major OTAs [4][8] - **Disruption of Current Models**: The shift to agentic AI is expected to disrupt existing OTA models, which currently leverage a funnel dominated by Google [5] Financial Metrics - **OTA Take Rates**: OTAs charge between 5% and 20% on travel bookings, with an overall take rate of approximately 13-14% for Booking and Expedia [17] - **Market Performance**: - Booking (BKNG): Current Price $5,187.02, Target Price $5,407.00, Adjusted EPS for 2024A $187.09 - Airbnb (ABNB): Current Price $132.79, Target Price $162.00, Adjusted EPS for 2024A $4.11 - Expedia (EXPE): Current Price $290.76, Target Price $256.00, Adjusted EPS for 2024A $12.10 [6] Investment Implications - **Revenue Models**: The revenue models of generalized AI agents will significantly impact OTAs, with user-funded models posing the greatest risk of disintermediation [7] - **Market Dynamics**: OTAs may face increased competition and pricing pressure as AI agents optimize for user objectives, potentially leading to unsold high-take-rate inventory [64][65] Opportunities and Risks - **Consumer Demand**: There is a strong consumer demand for AI agents to handle the administrative burden of travel planning [13][14] - **Operational Efficiencies**: AI can improve customer service and operational workflows within travel businesses, as seen in the positive impacts reported by Booking and Expedia [52][53] - **Disintermediation Risks**: General-purpose AI agents could bypass OTAs, commoditizing their services and reducing their market share [56][58] - **Security Concerns**: The integration of AI agents raises questions about liability, consent, and security risks associated with sensitive personal information [92][93] Conclusion - The travel industry is on the brink of a significant transformation driven by agentic AI, with both opportunities for enhanced personalization and risks of disintermediation for existing players. The evolution of AI agents will be crucial in determining the future landscape of travel distribution [7][60]