The AI cost trap in travel

Rising costs and unclear ROI challenge large-scale AI adoption across the industry

Artificial intelligence is rapidly moving from experimentation to deployment across the travel industry, but its cost structure is proving more complex than expected. While AI promises efficiency gains and improved customer experiences, industry leaders are warning that implementation, scaling, and infrastructure costs can quickly escalate. The economics of AI vary significantly depending on use case, with clear savings in some areas but higher costs in others. As a result, travel companies are being urged to take a more strategic and selective approach to AI investment.

Key takeaways

• Hidden cost dynamics: AI is not inherently cost-saving, as companies must absorb development, infrastructure, and rising subscription costs, often referred to as “subscription creep.”
• Use case determines ROI: AI delivers strong cost efficiency when replacing human labor, particularly in post-booking servicing, but becomes expensive when replacing existing automated systems.
• Booking economics challenge: AI-driven booking processes can cost significantly more than traditional online booking tools, raising concerns about the viability of fully agentic booking models.
• Infrastructure and energy impact: High computational demand and rising energy prices are increasing the operational costs of AI, especially as data center usage grows globally.
• Project viability risks: Analysts predict that over 40% of agentic AI projects could be canceled by 2027 due to escalating costs and unclear value propositions.
• Enterprise advantage: Large travel companies with established cloud infrastructure are better positioned to absorb AI investment and extract value through efficiency gains and upselling.
• Operational efficiency gains: AI can significantly improve productivity, enabling faster optimization cycles and reducing staffing needs, in some cases achieving up to 20x efficiency improvements.
• Talent and readiness gap: The need for specialized AI and data expertise is increasing costs, with rising salaries and longer recruitment times creating additional barriers for adoption.

Source: PhocusWire

Enjoying this analysis? Hospitality.today delivers daily insights on hotel distribution, AI trends, and travel commerce — straight to your inbox. Subscribe for free at Hospitality.today →