Source: Skift
Current AI travel tools surface generic advice dressed up in personalized language—they adjust tone and framing to individual users but serve the same core recommendations to everyone in a given demographic. Consumers pay premiums for personalization (through subscriptions, premium services, and data sharing) while receiving algorithmic outputs indistinguishable from mass-market travel guides. Truly personalized travel recommendations require costly human curation or prohibitively expensive real-time modeling, so platforms are optimizing for the appearance of personalization instead. The strategy works until users compare notes or discover they received identical itineraries.