AI trip planners confidently produced 2026 itineraries that looked plausible but contained multiple factual errors per trip: hotels listed at wrong addresses or with closed-down operators, opening hours based on 'typical' patterns rather than actual business hours, walking and transit times miscalculated by 30-50%, and visa-on-arrival rules cited as current when the country had changed them 18 months earlier.
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Expert: TravelAnywhere editors, Former travel writers TravelAnywhere — run by former travel writers — put ChatGPT, Gemini, and Claude through real trip-planning tests for 2026 and found the same failure pattern in all three: strong on broad structure, unreliable on granular detail. Hotels were placed at wrong addresses or pointed to operators that had closed; opening hours reflected 'typical' patterns instead of actual business hours; walking and transit times were off by 30-50%; and visa-on-arrival rules were stated as current when the destination had changed them 18 months earlier. The problem is not that AI cannot plan a trip. It is that the details that make or break a trip — addresses, hours, transit times, visa rules — are exactly where the models are weakest. Plausible-sounding itineraries give travelers false confidence, and the errors are hard to spot without checking every claim against a primary source. CNBC noted in March 2026 that 'worries about AI hallucinations and real-world nuances persist despite increased usage of AI travel planners.' The practical rule: use AI for ideas and rough structure, then verify every address, hour, route, and rule against the official source before booking. Source: https://www.travelanywhere.blog/blog/chatgpt-vs-gemini-vs-claude-trip-planning-2026-tested-comparison
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