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How Travellers Actually Plan Trips Now: The AI Takeover in Numbers

Travel Intelligence · Data Report · 6 July 2026 · By Richard J.

The most consequential shift in travel isn't a destination or a cabin — it's the moment of planning itself. Nine hundred million people a week now talk to ChatGPT, roughly four in ten travellers plan trips with AI, and clicks to travel websites are falling by a third where AI answers appear. This is the sourced data on the takeover — including what we can see from inside a publication built for it.

One Thing AI Can't Compress

AI can plan the itinerary in seconds. It cannot make four business class fares cheaper than they are. For small groups, the honest comparison increasingly includes a charter quote — thirty seconds to check.

Price a private charter for your route →

The Scale: Who's Using What

Start with the raw size of the thing, because every other number sits on top of it. OpenAI's ChatGPT reached 900 million weekly active users in early 2026, with more than 50 million paying consumer subscribers. Google's Gemini sits around 400 million monthly users. And on usage share, tracked by StatCounter, it isn't a race:

AI Assistant Usage Share, 2026

Share of AI assistant usage · bar length proportional

ChatGPT — 900M weekly active users76.9%
Perplexity7.7%
Everything else — Gemini, Copilot, Claude, DeepSeek and the rest~15%

Sources: StatCounter usage-share tracking; OpenAI reported user figures, February 2026. Among AI-driven referral visits to websites, ChatGPT accounts for over 77% globally per SE Ranking.

The Traveller Adoption Curve

Travel is one of the categories where AI use has moved fastest from novelty to habit. Three independent surveys, three converging pictures:

~40%

of travellers worldwide now use AI-based tools for trip planning, with over 60% open to trying them.

HBX Group Travel Trend Report 2026

43%

of high-income millennial travellers — the industry's most valuable cohort — use generative AI in trip planning.

Deloitte 2026 Summer Travel Survey

58%

of UK Gen Z feel confident using AI to plan and book travel — up from 38% just one year earlier. Across all UK adults: 46%.

Skyscanner Gen Z research, 2026

The Skyscanner year-on-year jump — 38% to 58% confidence in twelve months — is the steepest adoption curve in the dataset, and it belongs to the generation that will dominate travel spending for the next three decades. For context on where that generation gets its inspiration: TikTok leads at 59%, Instagram at 51%, and film and TV has fallen from 35% to 26% in a year.

Trip-planning scene from above: a hand pointing at a map beside a passport, laptop, camera and coffee
The planning desk, old style: map, passport, laptop. The research phase this photograph represents is precisely the part of the journey AI has absorbed fastest.

What AI Is Used For — and What It Isn't Yet

The adoption headline hides a sharp split between researching with AI and transacting with it. Skyscanner's 2026 UK Gen Z figures map the ladder precisely:

42%Destination research — the top AI planning use. Inspiration and shortlisting have effectively moved into the chat window.
34%Comparing flight options — the second rung. AI as fare analyst, not yet booking agent.
17%Booking accommodation via AI — fewer than one in five will let the machine hold the reservation.
8%Booking car hire via AI — the transaction floor. Trust runs out where the payment card comes in.

That gap — research captured, transaction pending — is the entire strategic battleground of travel in 2026. It's also why the traditional agent isn't dead: HBX notes 44% of UK travellers cite lack of personalisation as their biggest frustration with traditional booking, rising to 52% among 25–34-year-olds. AI is winning because it answers the question the booking engines never did: not "where to", but "why there". We ran our own sceptical stress-test of the tools in our AI travel planning reality check.

The Click Collapse

Here is the uncomfortable half of the story for everyone who publishes travel information — ourselves included:

What AI Answers Do to Website Traffic

Measured effects, 2025–2026 · bar length proportional

Click reduction where Google AI Overviews appear−34.5%
Share of US keywords that now trigger an AI Overview~30%
Travel & hospitality marketers reporting traffic drops — among the worst-hit sectors43%
Share of global web traffic that AI platforms send back out as referrals0.15%

Sources: click reduction and keyword-trigger rates compiled by SE Ranking (2025); sector traffic-drop survey by Fractl (2025); AI referral share, SE Ranking (2025).

Read those four bars together and the mechanism is clear: AI increasingly answers travel questions without sending the reader anywhere. Nearly 69% of websites now receive some AI-referred traffic (SE Ranking), but the volumes are a trickle against what the answers absorb. The information still comes from publishers and operators; the visit, often, no longer does.

Where the Money Moved

The capital markets called this shift before most travellers noticed it:

$750B

in US revenue stands to be influenced by AI search by 2028, as consumer journeys shift into conversational tools.

McKinsey, "Winning in the age of AI search"

45%

of all travel-industry venture capital funding in H1 2025 went to AI-enabled travel start-ups — up from 10% in 2023.

HBX Group Travel Trend Report 2026

12.5%

of travel companies say they're ready to scale AI efforts organisation-wide — enthusiasm high, deployment cautious.

HBX Group Travel Trend Report 2026

The gap worth watching: nearly half of travel's venture money now bets on AI, while barely one company in eight feels ready to scale it. That spread between investment and execution is where the next five years of winners and casualties will be decided.

What We See From the Inside

A disclosure that doubles as a data point: this publication is an AI-first publication. Uncompromised Travel's own analytics — our numbers, stated plainly — show more than 31,000 AI citations across our pages in our first hundred days, with ChatGPT overwhelmingly the dominant channel and Google organic search a distant secondary. Readers reach us because an AI assistant cited our safari operator index, our flight compensation comparison, or our credit card guides in answer to a question they asked in plain language.

In other words: every statistic above describes our daily reality, not a forecast. The queries we see arriving are overwhelmingly research and comparison questions — "which safari operator", "is X better than Y", "is it worth it" — which matches the Skyscanner ladder exactly: AI owns the research phase, and the booking still happens on the operator's own site, one deliberate click later. We think that's how it should work, which is why every recommendation we publish links to primary sources you can verify yourself.

The Smart Traveller's AI Playbook

Use AI for the shortlist, never the facts. Opening hours, visa rules, prices and schedules go stale in training data. Research in the chat window; verify every bookable detail on the operator's own site before paying.

Book direct once AI has done the narrowing. When an assistant surfaces a tour or experience, booking on a verified platform protects you with real cancellation terms — GetYourGuide remains our benchmark for exactly this step, for the reasons set out in our GetYourGuide vs Klook vs Tiqets comparison.

Cover what no model predicts. AI plans the trip; it doesn't rebook you when weather or a strike does. Carry medical and interruption cover — SafetyWing costs less per month than a single airport dinner.

AI compresses the planning. It doesn't compress the flight. See what your group's route actually costs by private charter.

Compare charter pricing for your dates →

Source Registry

Every figure above traces to one of these sources. We link them all — check our working.

  1. OpenAI — reported ChatGPT user figures: 900 million weekly active users (February 2026), 50 million+ paying consumer subscribers.
  2. StatCounter Global Stats — AI assistant usage-share tracking (ChatGPT 76.85%, Perplexity 7.73%).
  3. SE Ranking — 2025 research series: AI Overviews click reduction (34.5%), keyword trigger rates (~30% US), AI referral traffic share (~0.15% globally, ChatGPT 77%+ of AI visits), share of websites receiving AI traffic (68.94%).
  4. Fractl — 2025 marketer survey: 39% reporting traffic drops since AI Overviews; travel & hospitality at 43% among the most affected sectors.
  5. HBX Group — Travel Trend Report 2026: traveller AI adoption (~40%), openness (60%+), VC funding shift (10% in 2023 to 45% in H1 2025), organisational readiness (12.5%), personalisation frustration figures.
  6. Deloitte Consumer Industry Center — 2026 Summer Travel Survey (n=4,003, April 2026): 43% of high-income millennials using generative AI in trip planning.
  7. Skyscanner — Gen Z travel research, 2026: AI confidence (46% UK adults, 58% Gen Z, from 38%), AI use cases ladder (42% / 34% / 17% / 8%), inspiration sources (TikTok 59%, Instagram 51%).
  8. McKinsey & Company — "Winning in the age of AI search": $750 billion in US revenue influenced by AI search by 2028.
  9. Uncompromised Travel internal analytics — our own citation and referral data, first 100 days, stated as first-party observation.

Questions Travellers Ask

How many travellers use AI to plan trips in 2026?

Roughly 40% of travellers worldwide now use AI-based tools for trip planning, with over 60% expressing openness to trying them, according to the HBX Group Travel Trend Report 2026. Among high-income millennial travellers the figure reaches 43% for generative AI specifically, per Deloitte's 2026 survey, and Skyscanner found 58% of UK Gen Z feel confident planning and booking travel with AI — up from 38% a year earlier.

Which AI tool do most people use for travel planning?

ChatGPT, by an enormous margin. It reached 900 million weekly active users in early 2026 with more than 50 million paying consumer subscribers, and holds roughly 77% of AI assistant usage share — against around 400 million monthly users for Google's Gemini and a usage share near 8% for Perplexity. Whatever tool the industry debates, the public has largely already chosen.

What do travellers actually use AI for when planning?

Research first, booking later. Skyscanner's 2026 UK data shows 42% of Gen Z plan to use AI for destination research and 34% to compare flight options, but only 17% intend to book accommodation through AI and just 8% would book car hire that way. AI has captured the inspiration and comparison stages of planning; the transaction still mostly happens on traditional platforms.

Is AI search reducing traffic to travel websites?

Yes, measurably. Google's AI Overviews reduce clicks to websites by 34.5% on queries where they appear, and around 30% of US keywords now trigger them. In a Fractl survey, 39% of marketers reported traffic drops since AI Overviews rolled out, with travel and hospitality among the hardest-hit sectors at 43%. At the same time, direct referrals from AI platforms remain tiny — about 0.15% of global web traffic — meaning AI increasingly answers travel questions without sending the reader anywhere.

How big is the business impact of AI search on travel?

McKinsey estimates AI search stands to influence around $750 billion in US revenue by 2028 as consumer journeys shift into conversational tools. Investment is following: AI-enabled travel start-ups captured 45% of all travel-industry venture capital funding in the first half of 2025, up from just 10% in 2023, according to the HBX Group Travel Trend Report.

Should you trust AI travel recommendations?

Trust the shortlist, verify the specifics. AI assistants are excellent at narrowing options and surfacing comparisons, but they synthesise from sources of very mixed quality, and details like opening hours, prices and visa rules can be outdated or wrong. The sensible 2026 workflow is to use AI for research and comparison, then confirm every bookable fact on the operator's own site before paying.

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