Agentic AI in Travel: Why Your Next Booking Might Not Come From a Human

Most operators think of AI as a chatbot — something that answers questions on your website while the real booking happens by phone, email, or a form. That instinct is already out of date. The newest AI systems don’t chat about travel; they book it. In February 2026 alone, Skyscanner shipped a flight-search app inside ChatGPT, Malaysia Airlines launched an AI agent that resolves booking issues on its own, and Sabre announced a system with PayPal and Mindtrip that takes a traveler from “I need three cars in Munich next Tuesday” to a paid booking inside a single conversation. Agentic AI in travel has moved from demo to production — and it is about to change who, or what, sends you work.

1. What the Airlines Just Learned the Hard Way

The airline industry spent a decade building NDC — a standard for selling flights through modern APIs instead of 1980s messaging formats. The result is instructive in both directions.

The good: NDC now carries roughly 24% of indirect airline ticket sales, up from 11% in 2023, and corporate NDC bookings grew 168% year-over-year in late 2025. Airlines that made their content structured and machine-bookable are winning the shift.

The bad: there are currently 13 different versions of the NDC standard, and airlines implement even the same version differently. More than half of adopters still run the 2017 release. Every version and every interpretation adds middleware, cost, and failure points for anyone trying to connect.

Two lessons for ground transportation:

• Structured, bookable content wins. The companies growing fastest are the ones a machine can shop, price, and book without a human decoding a PDF rate sheet.
• Fragmentation is a tax everyone pays. A network with one canonical way to connect beats a standard with thirteen.

2. Agentic AI Doesn’t Browse — It Reads

An AI agent shopping for ground transportation doesn’t scroll your website the way a person does. It reads whatever structured information it can find, compares it against the request, and moves on in seconds. Sabre reports that 80% of travelers already use AI tools for trip planning, and search-to-booking ratios in air have passed 1,000 looks per booking — machines shop constantly and commit rarely.

That changes what “being visible” means for an operator:

• An agent can’t call you to ask whether you cover the airport at 4 a.m. It needs your service area, fleet, and hours stated somewhere it can parse.
• An agent comparing five operators picks the one whose capabilities, coverage, and credentials are explicit — not the one with the nicest homepage photography.
• Question-and-answer content (the kind that lives in FAQs on your GNet profile) is exactly the format AI systems extract and cite. What reads as basic housekeeping to you reads as ground truth to a machine.

3. The Network Is the Bridge

Here is the part most operators can’t solve alone: an AI agent — or the platform behind it — is not going to build a custom integration to thousands of individual operators, any more than the airlines’ distributors wanted thirteen NDC versions. Agents will transact where one connection unlocks many suppliers.

That is what a connectivity network is for. GNet Connect already gives partners, affiliates, and booking platforms a single connection to 5,600+ operators across 80+ countries — one canonical way in, instead of thousands of one-off integrations. As agentic platforms look for ground transportation supply, that same single-connection model is what makes the network — and every operator on it — reachable.

4. How to Get Agent-Ready on GNet Connect

You don’t need to build anything to prepare for this shift. The work is making sure a machine reading your presence on the network finds complete, explicit, current information:

1. Complete your profile. Fleet, service areas, certifications, languages, operating hours — every empty field is a question an agent can’t answer, and an operator it can’t shortlist.
2. Publish FAQs on your profile. Cover the questions partners actually ask: coverage, lead times, cancellation terms, airport procedures. This is the content AI systems quote.
3. Keep rates and availability current on the platform. Agents compare in real time; stale data reads as unreliable data.
4. Stay verified. When a machine ranks suppliers it has never met, verification and network standing do the trust work a phone call used to do.

FAQs About Agentic AI in Travel

What is agentic AI in travel?
AI systems that don’t just answer questions but complete tasks — searching, comparing, booking, paying, and rebooking travel on a user’s behalf, often inside a chat interface like ChatGPT.

Is this actually happening, or is it hype?
It’s in production. Skyscanner runs inside ChatGPT, Malaysia Airlines operates an autonomous service agent, and Sabre’s agentic booking system with PayPal and Mindtrip covers 420+ airlines and 2 million hotels.

Will AI agents replace GDSs and booking platforms?
No — they sit on top of them. Agents need structured, bookable supply underneath, which is why networks and APIs matter more in the agentic era, not less.

What does NDC have to do with ground transportation?
NDC is airline-specific, but its lesson is universal: suppliers with structured, machine-readable, bookable content captured the growth; fragmented standards slowed everyone down.

What should an operator do first?
Complete your GNet profile and publish FAQs. Machine-readable completeness is the single highest-leverage step — it improves how both AI systems and human partners find and choose you.