The first wave of AI trip-planning promised convenience. The more interesting effect is on demand: when a model drafts the itinerary, it spreads attention beyond the handful of places a guidebook or a search result would surface, and the second and third choices pick up share.
That has consequences for crowding and for the economics of lesser-known destinations, which are suddenly visible to travellers who would never have found them.
It also raises a question the industry has barely started to answer: who is accountable when the recommendation is wrong.