AI assistants now draft itineraries, search fares conversationally and rebook disrupted flights, yet only 13% of travellers trust them to book. Here is what AI trip planning genuinely does well in 2026, where it hallucinates, and the prompts that work.
Cover image: a traveller planning a trip on a smartphone — photo by Grandmaster Huon, CC0, via Wikimedia Commons.
AI trip planning in 2026 has settled into a clear division of labour: the tools are genuinely good at drafting itineraries, surfacing destination ideas and searching flights and hotels conversationally, and still unreliable at final booking, live accuracy and price prediction in volatile markets. The scale of adoption is real. Klook, the Hong Kong-based experiences platform, found 91% of 11,000 travellers surveyed now lean on AI planning tools, CNBC reported in March 2026. Yet trust collapses at purchase: IMG, the travel-insurance group, found in its March 2026 Travel Outlook Survey that among travellers likely to use AI this year, 75% want it for recommendations and 70% for itinerary planning, but only 13% would let it book. The industry has moved to meet them anyway. OpenAI made Expedia and Booking.com the first apps inside ChatGPT in October 2025, putting live hotel and flight results in front of roughly 800 million users, while airlines now use AI to rebook thousands of disrupted passengers automatically.
What can AI trip planners actually do well in 2026?
Three tasks stand out. First, itinerary drafting: general assistants such as ChatGPT, Gemini and Claude turn a loose brief ("five days in Portugal, two cities, no hire car, mid-range budget") into a structured day-by-day plan in seconds. IMG's survey confirms this is where travellers deploy the tools: inspiration and shaping, not the transaction.
Second, conversational search over live inventory. Google's Flight Deals maps a natural-language request — a ski week with reliable snow, say — onto real fare data. Kayak's AI Mode pairs a chat interface with live pricing, and Booking.com's AI Trip Planner returns bookable options from its own accommodation and flight inventory.
Third, disruption handling. When schedules collapse, systems that already hold booking data act faster than any call-centre queue — which is where airline deployments concentrate.
How are airlines and OTAs deploying AI?
The online travel agencies have gone furthest on the consumer side. Expedia Group's assistant Romie, built on a mix of in-house and OpenAI models, plugs into group chats and email to build itineraries and flag disruption in real time. Booking.com and Expedia both operate inside ChatGPT itself, where a request such as "hotels near Central Park for 12–15 October" returns priced, available rooms in-chat, with the transaction completed on the partner's own site. That shift routes demand around the search funnel online travel agencies spent two decades optimising.
Airlines focus AI on operations and recovery. Delta Air Lines is rolling out Delta Concierge, an AI assistant inside the Fly Delta app that uses predictive modelling to flag weather or congestion risk and offer rebooking options before a misconnection happens. American Airlines runs an AI-driven rebooking system that processes thousands of disrupted itineraries simultaneously, and United Airlines applies predictive analytics to hold connections for late-running passengers. A June 2026 report from Amadeus, the travel-technology group, argues carriers are now moving agentic AI — software that completes a workflow rather than answering questions — into production for voice rebooking and turnaround management. None of this changes your legal position when things go wrong: EU261, UK261 and US refund rules apply whether a human or an algorithm rebooked you.
Can AI predict flight prices accurately?
Partially, and less than the marketing suggests. Hopper claims 95% accuracy for its buy-or-wait predictions up to a year ahead, built on trillions of historical price points, and its Price Freeze product monetises that confidence. Google Flights offers similar guidance. But prediction models are trained on the past, and 2026 has not behaved like the past: fuel-driven fare volatility and capacity shortages have weakened historical curves, and prediction tools lose confidence when shocks hit. Booking-window mathematics still matters more than any single app's verdict — see what booking-window data actually shows. And the airlines themselves run far more sophisticated AI dynamic-pricing systems on the other side of the trade.
Where does AI trip planning still fail?
The core weakness is hallucination: plausible, confidently stated errors. A 2026 peer-reviewed study in the Journal of Consumer Behaviour (Rejón-Guardia et al., n=1,004) found hallucinated itinerary details significantly reduced users' trust and willingness to follow the plan, and noted that fully eliminating hallucinations is currently impossible. Forbes documented the practical version in March 2026: an AI planner recommending a Swiss mountain restaurant that does not exist and misstating Michelin ratings. Travellers report restaurants that closed years ago, outdated museum opening hours and bus routes that no longer run.
The other structural limits: assistants tied to one OTA only see that platform's inventory; most tools handle multi-country logistics, visa rules and loyalty-programme quirks poorly; and in-chat "booking" still usually hands off to a partner site for payment.
| Tool | Best at | Main limitation |
|---|---|---|
| ChatGPT (+ Expedia / Booking.com apps) | Itinerary drafting; in-chat hotel and flight search | Hallucinated details; payment completes off-platform |
| Expedia Romie | Group-trip coordination, disruption alerts | Expedia inventory only |
| Booking.com AI Trip Planner | Plain-language requests to bookable stays | Platform-limited; discovery over deep planning |
| Google Flight Deals | Natural-language flexible fare discovery | Flights only, deal-hunting focus |
| Hopper | Price prediction and Price Freeze | Accuracy degrades in volatile fare environments |
What prompts and habits get the best results?
Experienced users treat the assistant as a fast junior researcher, not an authority. Techniques that consistently improve output:
- Constrain hard. State dates, budget, party size, mobility limits and pace ("no more than two activities per day") not "the best" of anything.
- Force verifiability. Ask for official websites and current opening hours alongside each recommendation, then spot-check the two or three that anchor your day.
- Iterate, don't accept. Ask "what would a local change about this plan?" or "what breaks if it rains?" to stress-test a first draft.
- Ask for the trade-offs. "Give me three itinerary options with the compromises of each" produces more honest output than a single polished plan.
- Keep money and documents human. Verify prices at the point of sale and never rely on an assistant for visa, entry or health rules without checking the official source.
Frequently asked questions
Can I book an entire trip through ChatGPT in 2026?
Not quite end-to-end. The Expedia and Booking.com apps inside ChatGPT show live, priced flights and rooms in-chat, but payment currently completes on the partner's own site. Fully agentic in-chat checkout remains in testing.
How accurate are AI flight price predictions?
Hopper claims 95% accuracy on its buy-or-wait calls, and in stable markets the big prediction engines perform well. In volatile periods such as 2026's fuel-driven fare swings, historical models lose reliability; treat predictions as one input, not a guarantee.
Should I trust an AI itinerary without checking it?
No. Peer-reviewed research and repeated journalistic tests in 2026 show AI planners still invent venues and misstate opening hours. Verify anything that anchors your day — restaurants, museums, transport connections — against an official or recently updated source.
Sources
- CNBC — Travelers use AI to plan trips despite hallucinations and trust gaps
- PR Newswire — IMG Travel Outlook Survey reveals 2026 top destinations and rising use of AI in trip planning
- Forbes — How accurate is AI for planning travel and vacations?
- Journal of Consumer Behaviour — AI hallucinations in tourism: how errors impact consumer trust and recommendation acceptance
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