Will AI Travel Tools Deepen or Erase Local Insight?

A grandmother’s bacalhau recipe in Lisbon, the one locals actually argue about, never makes the chatbot list. Three streets from the tourist-packed tasca, that dish sits in a kitchen with no reviews, no clicks, and no algorithm pointing anyone toward it. That quiet trade-off is shaping travel right now, and 2025 to 2026 is the moment it hardens into habit.

A Phocuswright 2025 study found that 56% of U.S. travelers used generative AI, a technology that creates text, images, or itineraries from prompts, for trip planning in the past year [Times of Malta]. Klook’s Travel Pulse 2026 survey puts that figure even higher: 91% of Millennial and Gen Z travelers now use AI to plan trips [Noblestudios]. Before fully automated AI booking becomes the norm, there’s a narrow window to shape how these tools treat local knowledge rather than flatten it.

AI Is Already Rewiring Trip Planning

AI travel assistants are no longer a novelty.

Person planning a journey with a map, passport, and travel essentials on a wooden table.

Photo by Vlada Karpovich on Pexels

They’re the first stop. A 2024 global study found more than half of travel companies used generative AI for digital booking assistance, and nearly 50% used it to recommend activities or venues [Think AI].

Travelers feel the convenience fast. A 2025 Amadeus survey found 42% of users say AI saves them time in planning, 37% use it for more personalized recommendations, and 36% lean on it for inspiration [Airtraveler]. The trade-off is real: less time spent on forums, guidebooks, and messy local research. That’s the kind of digging that used to surface a 6-euro family-run guesthouse in Sintra or a Tuesday-only fado night in Alfama.

When millions of itineraries draw from overlapping datasets, the question isn’t whether AI influences travel. It’s whose voices feed the recommendation.

The Homogenization Risk Is Real

Algorithms optimize for popularity signals: reviews, clicks, bookings.

People walking on a busy city street with colorful buildings.

Photo by Maximus Beaumont on Unsplash

That math amplifies destinations already visible and quietly buries everything else. A 2024 review of generative AI in travel noted that use of these tools for planning has increased twofold since 2023, alongside concerns that algorithmically optimized recommendations narrow rather than widen discovery [Webtures].

The downstream effects are showing up on the ground:

Over-touristed hubs like Venice and Dubrovnik cite viral digital recommendation cycles as accelerants of crowding
Rents climb in neighborhoods featured in AI-generated “hidden gem” lists within weeks
Small operators outside the algorithm’s spotlight see no measurable lift

The irony of AI “hidden gems” is that the moment they appear on screen, they stop being hidden.

Local Knowledge Doesn’t Live in the Dataset

The richest local insight almost never appears in training data.

Two men selling vegetables at an outdoor market.

Photo by Tamer Durak on Unsplash

A fisherman’s tip about which cove has octopus in October, a tailor’s recommendation for the only barbershop still cutting in the old style: these live in oral traditions, dialect-specific customs, and informal gathering spots with near-zero presence on the public web that AI tools learn from.

Travelers increasingly arrive with itineraries already locked. Klook’s 2026 data shows only 2% of travelers are willing to give AI full autonomy over bookings [Noblestudios]. Yet TakeUp AI’s January 2026 research found 78% of AI-using travelers have booked based primarily on AI recommendations, and 84% say a trusted AI suggestion makes them more likely to book a specific place. The recommendation may be advisory in theory. In practice, it’s often decisive, leaving little room for the local guide standing right there with better information.

Where AI Actually Deepens Local Insight

Cozy night street view of a rustic restaurant in Bangkok with vintage charm and parked scooter.

Photo by Onur Kaya on Pexels

AI isn’t only a flattener. Used well, it can open doors that used to stay closed:

Real-time translation lets travelers have genuine conversations with shopkeepers, drivers, and hosts across dozens of languages
Cultural pre-briefings covering etiquette, history, and current local tensions help visitors arrive with context instead of clichés
Niche, curated tools trained on regional food blogs, community archives, or indigenous knowledge projects can surface what mainstream models miss

The pattern is clear in the data: travelers want assistance, not replacement. SiteMinder research across 12,000 travelers in 14 markets found 78% are willing to use AI at some stage of the accommodation journey, but only 12% want all hotel functions to be AI-managed [Airtraveler]. The appetite is for AI as co-pilot, not autopilot.

How You Use It Matters as Much as Which Tool

AI’s impact splits sharply by traveler type. Experienced travelers treat AI as a first filter, then actively override it with local input on the ground. First-time international travelers, often time-poor and risk-averse, tend to follow AI itineraries with high fidelity, rarely deviating from the suggested loop of sights, cafés, and viewpoints.

That fidelity is exactly where homogenization sets in. If half of new visitors to a city walk an algorithm-shaped path, the city itself starts reshaping around that path: same menus, same souvenirs, same English-only signage.

Designing and Using AI That Preserves Local Voice

The fix isn’t less AI. It’s better-sourced AI, paired with travelers willing to keep one foot off the algorithm.

“When a human guide tells a story, AI breaks the ice, but it doesn’t replace the story.” [Times of Malta]

A practical hybrid for the next trip:

Use AI for logistics: flights, visa rules (the Schengen 90/180 rule, which limits non-EU visitors to 90 days in any 180-day period, still trips people up), train bookings, neighborhood basics
Use locals for discovery: ask your guesthouse host where they eat on a Sunday, not where review platforms send visitors
Budget one afternoon with no AI itinerary at all. Wander, get mildly lost, ask questions.

Destination marketing organizations and policymakers have a role too: funding community-contributed datasets, supporting licensed local guides, and pushing back when AI suggestions concentrate footfall in already-strained neighborhoods.

AI travel tools aren’t villains or saviors of local culture. They’re mirrors of the data and incentives behind them. Used critically, they translate, contextualize, and open doors. Used uncritically, they funnel millions of travelers down the same narrowing corridor. Let AI handle the timetable. Then ask someone who lives there what the algorithm missed. The answer is almost always three streets away.