AI travel planning wins on big ideas, struggles on details

New 2026 research and a real-world trip test both point to the same problem: AI can help travelers build a trip, but it still misses too many specifics. Food & Drink Destinations says that gap matters most in food and drink travel, where timing, authenticity and local details can make or break a trip. Why it matters: - AI trip planning has moved into the mainstream, but travelers still cannot rely on AI for accurate day-of-trip details. - The weakness is especially costly in food and drink travel, where one wrong hour, closed venue or fake recommendation can undo an itinerary. - The finding suggests travelers should treat AI as a planning layer, not a final source of truth. What happened: - Phocuswright found 56% of U.S. leisure travelers used AI for at least one trip in the past year, up from 43% months earlier. - Simon-Kucher’s Global Travel Trends 2026 study surveyed more than 10,000 travelers across ten markets and found that dissatisfaction with AI centered on accuracy and generic advice. - 52% of dissatisfied travelers said AI answers were inaccurate, and 47% said the recommendations were too generic. - Food & Drink Destinations tested AI trip planning by using Gemini and Perplexity to plan a full trip across France. - Founders Amber and Eric Hoffman graded the results and put overall accuracy at about 80%. The details: - The AI tools handled the high-level structure well, including destination choice, route sequencing and discovery of places the Hoffmans would not have found on their own. - The trip plan broke down on specifics, including wrong restaurant hours, generic recommendations and one wine tasting that did not exist. - The Hoffmans said the biggest weaknesses show up where travel details change quickly and are hard to generalize. - They pointed to open and closed market hours, and to the difference between authentic regional dishes and tourist versions, as examples of the kind of information AI struggles to keep current. - Food & Drink Destinations published the full analysis on its site. - Amber Hoffman has visited well over 70 countries and more than 100 wineries across Europe. - Amber Hoffman also lived in Spain and Ireland. Between the lines: - The data and the trip test line up almost exactly, which strengthens the case that AI travel planning is improving at structure faster than it is improving at precision. - For travel brands and publishers, that shift could make first-hand reporting more valuable as AI absorbs more generic logistics and listicle-style content. - Amber S. Hoffman also leads The FS Agency, which advises hotels and hospitality brands on AI search and large language model visibility, giving the test an industry-insider lens. What’s next: - The practical takeaway for travelers is to use AI for trip scaffolding and verify every important detail separately. - The broader industry takeaway is that trust, not just convenience, will determine how far AI can go in travel planning. - Amber S. Hoffman’s book, Before the Booking: Closing the Hotel AI Discovery Gap to Drive Total Revenue, is due in late June 2026. - Food & Drink Destinations says the findings will continue to matter as AI becomes a larger part of travel discovery and booking. The bottom line: - AI can help build the trip, but travelers still need human checks before they go.