Artificial intelligence in travel is evolving far beyond automation into something much more transformative: autonomous, intelligent agents capable of anticipating needs, solving problems proactively and delivering highly personalised guest experiences at scale.
That was the central message from Ray Iramaneerat, AI Customer Engineer for Southeast Asia at Google Cloud, during his presentation at the TDM Global Summit Bangkok 2026, where he outlined how AI agents are poised to reshape the future of travel. Drawing on emerging trends in agentic AI, Iramaneerat argued that the industry is moving beyond chatbots and generative responses into a new era where AI can execute tasks, make decisions and orchestrate seamless service interactions.
From Generative AI to Autonomous Execution
At the heart of this evolution is a shift from what Iramaneerat described as “generative responses” to “autonomous execution.” While first-generation AI tools have largely focused on answering questions or supporting search, AI agents represent a more sophisticated model — one that can take action on behalf of both businesses and travellers. In travel, that means moving from simply helping customers plan a trip to helping manage, personalise and improve the journey itself.
Iramaneerat identified five emerging AI agent trends shaping 2026, including agents for employees, workflows, customers, security and scale. For travel and hospitality, however, customer-facing AI agents may prove to be the most immediate game changer. Rather than functioning as scripted bots or support tools, these agents are envisioned as digital concierges capable of understanding context, maintaining memory and handling increasingly complex interactions.
The Rise of the Digital Concierge
The idea of AI as concierge, rather than chatbot, was a major theme throughout the presentation. The goal is to move beyond reactive service into proactive, anticipatory engagement. Instead of waiting for a traveller to identify a problem, AI agents could intervene before friction occurs.
One example highlighted during the session illustrated how an AI concierge could detect a maintenance issue in a VIP room before arrival, automatically source an upgraded alternative, apply compensation, notify the guest and resolve the issue before the customer even checks in. Only if the issue became more complex would a human staff member step in, supported by a complete handover of context.
It is a model that reimagines service recovery — not as reaction, but prevention.
Personalisation at Scale Becomes Reality
Personalisation was another key focus. For years, travel brands have spoken about delivering personalised experiences, but AI agents may finally make that promise scalable. Rather than forcing travellers to repeatedly identify themselves or restate their needs, these systems can draw from booking history, CRM data, live signals and contextual awareness to make every interaction feel informed from the start.
As Iramaneerat suggested, true personalisation at scale is less about customised offers and more about eliminating friction. Guests should not have to start every interaction by “proving who they are.” The experience should already know.
Bridging the “Human Gap”
That promise, however, depends on overcoming what he called the “human gap” in AI customer experience.
Technology alone, he argued, is not enough. For AI to succeed in travel, it must bridge four crucial areas: contextual intelligence, responsiveness, natural fluency and emotional resonance. Travellers expect AI that remembers context, responds instantly, speaks naturally and treats them like people, not ticket numbers.
That is where the next competitive battleground may lie.
For travel brands, success will not simply depend on adopting AI, but on deploying AI that feels intuitive, empathetic and trusted.
Proactive Service as the New Luxury
One of the more striking themes in the presentation was the idea that proactive service may itself become a form of luxury. If AI can identify problems before guests encounter them, intervene in real time and personalise recovery, then the value of service changes dramatically.
In a sector often challenged by friction, delays and service recovery, anticipation may become one of the most valuable experiences a brand can deliver.
Human and AI as Collaborative Partners
Importantly, the presentation did not frame this as a future where machines replace hospitality professionals. Instead, Iramaneerat emphasised collaboration between human and machine.
The future, he suggested, lies in “smart handoffs” — AI handling repetitive, high-volume or data-heavy tasks while humans focus on emotionally nuanced, complex or relationship-driven moments.
It is not human versus AI.
It is human plus AI.
And for hospitality, that distinction matters.
What This Means for Travel in 2026
The implications for travel are significant. Search and booking may become increasingly conversational. Customer support may evolve into intelligent concierge ecosystems. Operational disruptions may be managed before they become complaints. And loyalty may increasingly be shaped by the intelligence of service, not just the quality of product.
Perhaps the biggest takeaway from the session was that AI has not simply arrived — it has reset expectations. Travellers will increasingly expect personalised responses, autonomous assistance and immersive, frictionless service experiences as standard. And that means the industry is moving beyond automation into something much bigger.
From Automation to Orchestration
It is moving into orchestration. Because as this presentation made clear, the future of travel AI is not about smarter bots. It is about intelligent agents that search, decide, act and collaborate. And for an industry built on service, that could be one of the most profound shifts yet.
