The intelligence layer
for tourism professionals.

Choice Hotels paid $130 million for Harvest Hosts, an RV club with 11,200 parking spots at farms, wineries and breweries, and not one of them is a hotel room. Read it as a land grab: Choice bought half a million member relationships and the data behind them, because net room growth now gets harder through owned inventory. Compare it with Marriott crossing 300 hotels in Mexico, 76 more in the pipeline, 35% of them conversions. One chain buys buildings, the other buys membership. India's new state-backed Digital Tourism Stack pushes the same logic from the other direction, putting discovery and booking on open public infrastructure that nobody privately owns. And the plumbing is getting expensive: Amadeus and Spotnana both say agentic AI is raising travel's tech bill, with no agreement on who pays for the queries an AI agent fires off before a single booking lands. The joint study from Sojern, Mindtrip, Sabre and MMGY Travel Intelligence puts numbers on the gap: 54% of US travellers have used AI to plan a trip, while only 22% of DMOs offer any AI capability on their site and 26% have a written strategy. My read for the next 6 to 12 months: hoteliers will stop buying AI features and start buying AI integration, which is why the AI Hospitality Alliance and HEDNA catalogue of 109 use cases across 39 systems matters more than any vendor demo, and why h2c finding 70% of 122 chains betting on proactive agents points at operations, not chatbots. Expect per-query pricing fights in 2027 contracts. Expect DMO content budgets to move toward machine-readable data. Worth watching: Propellic's tracking of AI interfaces replacing search results pages, NIQ clocking 51% of US consumers using AI to shop, and Milan GOPPAR up 34% on the Olympic tailwind, a one-winter windfall Italian operators should spend on their data layer rather than lobby furniture. If guests arrive through someone else's membership, which relationship do you actually own?