Would You Trust AI to Plan Your Vacation?

Level: Intermediate

Vocabulary

Hallucination – when an AI system confidently states something false or made-up as if it were true.

Example – One survey found that AI hallucinated a nonexistent tour or restaurant for one in six travelers.

Itinerary – a planned route or list of activities for a trip.

Example – Many travelers now ask AI chatbots to build a full day-by-day itinerary for their vacation.

Generic – lacking specific detail; not tailored to an individual person or situation.

Example – Some travelers complained that AI suggestions felt too generic to be useful for their specific trip.

Verify – to check that something is true or accurate before relying on it.

Example – Experts recommend verifying any AI travel suggestion before booking it.

Concierge – a person or service that helps arrange travel plans and other personal services.

Example – A travel concierge company surveyed over a thousand travelers about their AI habits.

Article

More travelers than ever are opening a chatbot before they open a guidebook. Over the past year, asking an AI tool to plan part or all of a vacation has gone from a novelty to a genuinely common travel habit, according to a survey released in August 2026 by the travel concierge company Greetwell. Of 1,000 U.S. adults who had taken an overnight leisure trip in the past year, nearly half said they had used or tried AI for travel planning. But the same survey reveals a complicated relationship: people are using these tools constantly, while still not quite trusting them.

The appeal is easy to understand. AI chatbots are fast, available at any hour, and good at the kind of big-picture thinking that used to take hours of research, comparing destinations, sequencing a multi-city route, or suggesting an overlooked town that even well-traveled friends had never mentioned. Satisfied users consistently point to speed as the main benefit, and testers have found AI genuinely useful for identifying discovery-worthy places outside the usual tourist path.

The trouble starts when the details get specific. According to the Greetwell survey, more than half of travelers who used AI for planning, 55%, ran into at least one problematic recommendation. The most common issues were incorrect details, such as wrong prices or hours, followed by suggestions for places that turned out to be fully booked, poor matches for what the traveler actually wanted, and, most strikingly, recommendations for tours, restaurants, or attractions that do not exist at all. About one in six users received a recommendation for a completely fictional place.

Separate research from the consulting firm Simon-Kucher found a similar pattern: over half of respondents said AI-generated travel answers were simply incorrect, and nearly as many said the results felt too generic to be genuinely useful for their specific trip. Food and drink recommendations seem especially prone to problems, since details like restaurant hours, current menus, and whether a business is even still open change constantly and are exactly the kind of specific, fast-moving information AI models tend to get wrong.

These failures have a measurable effect on trust. Among travelers who ran into a problem, 21% said their trust in AI declined afterward, compared to just 5% of those whose experience went smoothly. Even so, trust in AI planning tools has grown overall, with about a third of survey respondents saying their confidence increased over the past year, suggesting many travelers are learning to work around the tool’s weaknesses rather than abandoning it.

That growing familiarity has not translated into a willingness to let AI take full control, however. When it comes to actually booking something, most travelers still want a human, or at least a familiar website, involved. In the Greetwell survey, 68% said they would not let AI book a flight on their own, and similar majorities felt the same about rental cars, hotels, tours, and even restaurant reservations. When choosing what to actually do on a trip, travelers said they trusted recommendations from friends and family far more than from AI, by a wide margin.

One recent test trip through France illustrates both sides of the pattern well. When researchers asked an AI tool to help plan the route, it successfully identified La Rochelle, a coastal town that even well-traveled friends and local chefs had never recommended, a genuine discovery that made the trip better. But the same tool also confidently suggested a wine tasting at a venue that, on closer inspection, did not actually exist. Both results came from the same kind of confident, detailed-sounding answer, which is exactly what makes AI travel planning tricky: the tool sounds equally certain whether it is right or completely wrong.

The emerging pattern looks less like full replacement and more like a new kind of division of labor. AI handles the broad strokes: narrowing down a destination, building a rough route, surfacing options a traveler might not have considered. Humans, whether that means the traveler themselves, a friend, or a real travel agent, still handle the fine-grained, high-stakes decisions: confirming a place actually exists, checking it is still open, and locking in a booking. For now, that division seems to be exactly where most travelers feel most comfortable.

Discussion

Have you ever used AI to help plan a trip? What was your experience?

Would you trust an AI tool to book a flight or hotel for you completely on its own? Why or why not?

Why do you think people trust recommendations from friends and family more than from AI?

What kind of travel decisions do you think AI is genuinely good at, and which ones need a human?

How can a traveler check whether an AI recommendation, like a restaurant or tour, is actually real?

Do you think AI travel tools will become more trustworthy over time? Why or why not?

Sources

KESQ: Survey: AI Hallucinated Travel Destinations for 1 in 6 Users

Food & Drink Destinations: AI Travel Planning in 2026: What It Gets Right and Wrong

SEO Notes

• Primary keyword / suggested Focus Keyword: AI travel planning
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