notitur.com September 21, 2026
Artificial Intelligence1 min read

AI now picks the hotel for your guest, and the Philippines launched its own with no data

JSBy Joan SanzCurated by Joan Sanz. · September 21, 2026 · Follow on LinkedIn
Voice reading · ~1 min

The week opened with an uncomfortable argument picked up by Hospitality Net: Google AI Mode is erasing the research phase where guests compared hotels and made a choice. Now the AI serves one option and she takes it. That slice of the funnel, the one feeding OTAs and comparison sites, shrinks. And this is not a ten-year trend.

The same piece carries Pertlink's open letter to the Philippines' Tourism Secretary over the government's AI assistant, launched without data from the DOT, the Department of Tourism. Building a public tourism assistant without the official data source raises the question of how it will answer with anything more than brochures. It closes with an idea I share: resort sales teams get built from the inside, training people who already know the product, not hiring in.

My read: if AI now picks for the guest, the margin moves elsewhere. To direct sales, to reception upselling, to the resort's own data. Whoever holds their inventory, their history and a trained team plays with an edge.

Quick questions

What does Google AI Mode change in hotel choice?
According to Hospitality Net, AI shortens the research phase where guests compared options and picks for them, showing a single suggestion the guest usually accepts. That cuts traffic reaching OTAs and comparison sites in that stretch.
Why did the Philippines launch its tourism AI without DOT data?
Pertlink sent an open letter to the Philippines' Tourism Secretary noting that the government's AI assistant launched without data from the DOT, the official tourism department. The question is what information it will use to answer travellers.
How do you build a strong resort sales team?
From the inside, training people who already know the product and the destination instead of hiring external profiles that take months to grasp the operation. That is the idea closing the Hospitality Net piece.
What can a hotel do if AI picks for the guest?
Strengthen direct sales, work reception upselling and exploit the resort's own data. If comparison shortens, the guest relationship and inventory knowledge weigh more than visibility in a search engine.
Does this hit independent hotels and chains the same way?
The funnel impact is the same, but the response differs. An independent with a trained team and its own data can move fast. A chain has more resources to negotiate with AI platforms, but also more decision layers.

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