Smart Destinations Reloaded: How AI and Web 3 Transform Destination Management
Summary
Professor Dr. Dimitrios Buhalis, a leading global researcher in travel technology and destination innovation at Bournemouth University, delivered a rapid 20-minute keynote at ITB Berlin 2026 titled 'Smart Destinations Reloaded.' Drawing on decades of research and a synthesis captured across multiple encyclopedic publications (including an Encyclopedia of Tourism Management containing over two million words), Buhalis argued that smartness in destination management is fundamentally not about technology acquisition but about optimizing networks, enabling data interoperability, and building collaborative ecosystems of co-creation.
His core framework — the smart tourism pyramid — places the full tourism system (inputs, outputs, and processes) at the top, supported by layers of planning and strategy, market forces, exogenous variables, and technology/infrastructure as the foundational platform. He stressed that every layer must be addressed holistically: fixing one element without the others yields no systemic improvement, likening buying technology without the surrounding ecosystem to owning a sophisticated car but only being able to play the radio.
Buhalis identified several macro trends he describes as keeping him 'awake at night': ambient intelligence, smart citizenry, agentic AI, robotics and autonomous devices/drones, hybrid living, and the metaverse. He drew a sharp distinction between traditional rules-based AI (which codifies learned knowledge) and agentic AI, which perceives environments, reasons, and adapts cognitively in a manner analogous to human development. He referenced the Gartner Hype Cycle to note that generative AI is currently passing through the 'trough of disillusionment,' while quantum AI is emerging as the next frontier of complexity.
A key prediction from Buhalis: 'Artificial intelligence will change your job' — specifically, AI will automate decision-making entirely, shifting the paradigm from human-to-human interaction to human-to-machine and ultimately machine-to-machine interaction, where autonomous agents negotiate in milliseconds. He illustrated this with hotel pricing scenarios in destinations like Dubai, where AI systems will assemble, analyze, and act on real-time data streams instantaneously.
Buhalis also highlighted AI's transformative role in guest experience, using the Poseidon Temple at Sounion in Athens as a case study for AI-powered cultural heritage reconstruction — making historical sites interactive and immersive through visual AI and metaverse environments. He also pointed to Kalamata, Greece, as an example of how AI-driven search (versus traditional Google link aggregation) delivers contextually rich, personalized destination answers.
For destination management organizations (DMOs), Buhalis offered a four-step strategic framework: (1) collaborate and convene the ecosystem; (2) map who the players are and their roles; (3) collect, clean, and process big data; (4) automate decision-making while navigating legal barriers. He closed with a directional signal for technology watchers: 'Keep looking at Shenzhen — it is the epicenter of technological development right now,' citing it above even Hangzhou as the city to watch for robotics and technology innovation emerging from China.
Key Takeaways
- •Smartness is not a product you can purchase off a shelf. Professor Buhalis was emphatic: 'You cannot buy it from the shelf. You really need to develop it.' Destination smartness requires the coordinated integration of technology, people, knowledge, and leadership — not just deploying a system.
- •Big data is a prerequisite for smart destinations, not a byproduct. Destinations must systematically identify all data sources — from traffic lights to mobile signals to sensors — and build the infrastructure to collect, clean, and process that data before any AI layer can deliver meaningful outcomes.
- •AI will transform decision-making more fundamentally than the internet transformed information access. Buhalis stated directly: 'Remember Buhalis 2026 said artificial intelligence will change your job... It will automate the decision making. You are not going to be asked to do things. It's going to do it with you.'
- •Agentic AI represents a qualitative leap beyond generative AI. While most discussion focuses on GPT-style tools, Buhalis highlighted that agentic AI — which perceives environments, reasons, and acts autonomously — is developing cognitive capabilities analogous to human thinking, moving far beyond information retrieval toward independent action.
- •Machine-to-machine interaction will define the next era of tourism commerce. Beyond human-to-machine interfaces, Buhalis identified machine-to-machine negotiation — where AI agents transact in milliseconds — as the coming paradigm shift for contracts, pricing, and distribution across the entire tourism ecosystem.
- •The Gartner Hype Cycle shows generative AI entering the trough of disillusionment, while quantum AI is rising as the next major wave. Buhalis used this framework to contextualize the current 'AI fatigue' among skeptics and warn that the most disruptive technology — quantum-enhanced AI — is still ahead.
- •AI will fully re-engineer guest experience, intermediation, and distribution. Buhalis argued that front-line hospitality staff must 're-engineer everything,' as AI will serve as a 'conscious constantly with the traveler,' proactively curating activities — for instance, identifying a concert at 5:00 PM that fits a traveler's gap between ITB and dinner based on known preferences and location.
Transcript
He's trying to condense this into 20 minutes. What do ne destinations have to do in terms of technical refreshment? Let's say please welcome Professor Demetrius Bhales. Thanks for being here. Hello. Yes, we've got microphone. Thank you very much. Great to be here and fantastic to see so many good friends and to talk about destinations and smart destinations and how things can change and how they are changing. Uh if anybody tells you that we know what's happening, they're lying. Okay, everything ...
