New ways to plan travel with AI in Search (blog.google)

Google is expanding AI features in Search to streamline travel planning: a Canvas workspace in AI Mode (desktop, U.S., Labs opt‑in) generates tailored multi-day itineraries by combining real‑time Search results, Google Maps data (photos, reviews), and web sources; users can refine plans through natural‑language follow-ups and save histories. Flight Deals — an AI-powered tool inside Google Flights that understands conversational queries to surface bargain destinations — is rolling out to 200+ countries and territories and 60+ languages. Separately, agentic AI in AI Mode will now search across reservation platforms to surface real‑time availability and create curated booking lists (restaurant bookings in the U.S. are rolling out without Labs opt‑in; event tickets and local appointments are available to U.S. Labs users). These updates matter because they push Search from passive lookup to multi‑step, action‑oriented planning: natural‑language intent parsing, real‑time aggregation of pricing/availability, and cross‑platform booking workflows reduce friction and decision overhead for travelers. Technically, the features rely on integration of Search and Maps data, multilingual AI understanding, and partner APIs/links (OpenTable, Resy, Tock, Ticketmaster, StubHub, SeatGeek, Vivid Seats, Booksy, Fresha, Vagaro) with plans to enable direct flight and hotel checkout via partners such as Booking.com, Expedia, Marriott, IHG and Wyndham. For the AI/ML community this showcases applied agentic systems that combine retrieval, multimodal context, and transactional integrations — raising opportunities around UX automation, data freshness, partner interoperability and trust/privacy considerations.