AI Travel Planners Gain Popularity, Yet Practical Hurdles Persist

Trip planning, long a tedious chore of comparing prices and juggling browser tabs, is increasingly being handed off to artificial intelligence. A recent global survey of 11,000 users by travel platform Klook indicates that 91% of travelers now use AI for some aspect of their journey. Some employ the technology to generate initial ideas, while others use it to hunt for deals tailored to their budget.

Yet, widespread adoption doesn't equate to universal trust. Research from Booking.com notes that while AI use is common, only 35% of people fully trust its suggestions. The core issue is accuracy. AI systems, built on large language models, are prone to 'hallucinations'—confidently presenting incorrect information as fact.

These errors aren't always theoretical. Leigh Rowan of Savanti Travel described a client in Paris who missed a meeting after an AI-suggested route ignored road construction, turning a 10-minute trip into a 45-minute ordeal. 'They seem like edge cases, but they're actually very common,' Rowan noted.

Beyond factual errors, experts warn AI may unintentionally narrow travelers' horizons. Systems trained on popular 'top 10' lists can overlook smaller, independent properties or emerging destinations, potentially starving them of needed business. Conversely, already popular spots risk worsening over-tourism.

AI also struggles with human nuance, says Rowan. It cannot reliably account for multi-generational needs, severe allergies, or the logistical fallout when travel goes awry, such as during a geopolitical crisis. 'AI isn't going to get you to the top of the queue for the next repatriation flight,' he added.

Despite these gaps, the industry is pushing forward. Guy Llewellyn of EHL Hospitality Business School Singapore believes improvement hinges on data access. If hospitality companies structure and share information via technical gateways, AI tools could eventually offer more current data than some traditional agents. 'AI planners are going to happen,' Llewellyn stated. 'The first few iterations are going to be slow... but it's going to be a really impactful thing for the industry.'

Source: CNBC