The experiences gap
Finding a flight or a hotel room is straightforward—dates, price, location, done. But finding what to do when you arrive is still messy. Too many options, inconsistent reviews, outdated information, and the nagging question: is this worth my time? Klook thinks artificial intelligence is the tool that can finally fix that.
The Hong Kong-based platform, which has built its business around tours, activities, and attractions, isn’t trying to become the next Booking.com or Expedia. Instead, it’s doubling down on experiences—and betting that AI can make the discovery and booking process less chaotic. For travelers, especially those hopping between unfamiliar cities, that could mean fewer hours scrolling and more confidence in what they book.
Why experiences are harder to book
Unlike flights or hotels, experiences don’t fit neatly into filters. A cooking class in Bangkok might be perfect for one traveler and irrelevant for another. Timing matters—some attractions sell out, others depend on weather. And the sheer volume of options, from walking tours to theme parks to food trails, can overwhelm even seasoned travelers.
That’s where Klook sees an opening. The company has amassed data from millions of bookings across Asia and beyond. Now it’s feeding that into AI systems designed to surface recommendations that feel personal without requiring users to fill out long preference forms. The goal is simple: show travelers what they’ll actually enjoy, faster.
This isn’t entirely new territory. Online travel agencies have already begun experimenting with AI for trip planning, and hotel tech companies like Lighthouse are deploying AI assistants for pricing and operations. But Klook’s focus on the experiences layer—arguably the least standardized part of travel—sets it apart.
What this means for travelers
If Klook’s bet pays off, the immediate benefit is time saved. Instead of wading through dozens of listicles or generic top-ten posts, travelers could get a curated shortlist based on their trip length, interests, and even the time of year. The platform could also flag last-minute availability or surface lesser-known options that align with what similar travelers enjoyed.
For now, the technology is still evolving. AI recommendations are only as good as the data behind them, and experiences booking remains fragmented—many operators still rely on phone calls or manual confirmation. But Klook’s scale gives it an edge. It works with tens of thousands of operators, from major theme parks to small local guides, and that network effect could help smooth out some of the friction.
No grand OTA pivot
Klook’s decision to stay focused on experiences rather than expanding into full-service travel booking is notable. The OTA space is crowded, capital-intensive, and dominated by giants with deep pockets. By carving out the experiences niche and using AI to deepen its advantage there, Klook is playing a different game.
It’s also positioning itself to capture adjacent spend—think airport transfers, SIM cards, or dining reservations—without needing to compete head-on with established players. For travelers, that could mean a more seamless trip once they’ve landed, especially in markets like Southeast Asia where Klook already has strong distribution.
The bigger picture
AI in travel is still in its early innings. Most tools today are assistive—they help narrow choices or automate simple tasks—but they’re not yet making decisions for you. Klook’s push is a signal that the experiences category, long seen as the messy stepchild of travel booking, might be where AI has the most practical impact.
For Indian travelers heading to Singapore, Tokyo, or Seoul—cities where Klook has deep inventory—this could translate into better recommendations and fewer booking headaches. And as the platform refines its AI, the same logic could extend to emerging markets and offbeat destinations where discovery is even harder.
The question isn’t whether AI will play a role in travel. It’s whether platforms like Klook can train their systems well enough to cut through the noise and actually deliver what travelers want—without making the process feel robotic or overly automated. If they get it right, the payoff is a smoother, more confident way to explore new places.
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