24%
14%influencersAI assistants as a trusted travel planning source
Yes. AI assistants rank as a trusted travel planning source for 24% of consumers, against 19% for travel bloggers and 14% for social media influencers.
Travellers adopted AI faster than the industry serving them. This observatory tracks the gap with numbers that carry their source, their sample and their date.
31 sources · 60 indicators
Every figure carries its publisher, sample and field period.
The adoption gap
April 2026And still moving
PhocuswrightUS travellers who used AI on at least one trip
The adoption gap
The same month, the same question, two populations. Travellers on one side, the destinations marketing to them on the other.
54%
US travellers who have used AI to plan a trip
22%
DMOs offering AI trip planning on their website
Your market
The deepest repeated measurement in this field is American: Phocuswright has asked US travellers the same question three waves running, and Sojern fields travellers and destination organisations side by side. That is why the US figures carry the trend lines here, and why they should be read as leading rather than representative.
First half of 2026 · United States
April 2026 · United States
First half of 2026 · United States
September 2025 · United States
56%
US travellers who used AI on at least one trip
First half of 2026 · United States
54%
US travellers who have used AI to plan a trip
April 2026 · United States
~50%
Travellers who still click through after an AI answer
First half of 2026 · United States
33%
US travel executives reporting AI improves personalisation
September 2025 · United States
The headline numbers
24%
14%influencersYes. AI assistants rank as a trusted travel planning source for 24% of consumers, against 19% for travel bloggers and 14% for social media influencers.
25%
25% of travellers report having received outdated or inaccurate travel information from AI.
35%
4%2022 annual reports35% of the Skift Travel 200 mentioned AI in their 2024 annual reports, up from about 4% in 2022.
78%
78% of travellers found generative AI results somewhat or very helpful, for planning and in destination alike.
70%
70% of tourism businesses already use AI technologies, principally chatbots, dynamic pricing and demand forecasting.
45%
10%202345% of travel venture capital funding went to AI-enabled startups in the first half of 2025, up from about 10% in 2023.
Questions
Short, sourced answers to the questions people actually ask about AI and travel.
Between 18% and 79%, depending on what is being asked. The defensible summary: roughly half to two-thirds of travellers have used AI somewhere in a trip, and around one in five uses generative AI specifically to plan one.
They use it far more than they trust it. 6% of consumers fully trust AI, 42% always fact-check what it tells them, and 25% have received travel information from it that was outdated or wrong.
Mostly not yet. About 12% are comfortable with AI making independent decisions, around 6% would let it handle most of their planning, and a quarter to a third would let it complete a booking they had already specified.
It is displacing channels rather than replacing search outright. AI assistants are now a more trusted planning source (24%) than travel bloggers (19%) or social media influencers (14%), and 69% of Millennials use AI as often as social media for trip planning.
Researching attractions, restaurants and transport (60%), comparing prices (56%), in-trip translation (45%), building itineraries (43%) and destination research (38%). Synthesis tasks dominate; transaction tasks lag.
Around 70% of tourism businesses use AI, mainly for chatbots, dynamic pricing and demand forecasting. But adoption is strongly size-dependent, and operational AI is not the same as being visible in AI answers.
Topics
How many people actually use AI to plan and book travel, and how fast that share is moving.
AI as a discovery channel: who gets recommended, who gets cited, and who disappears.
Enthusiasm is near-universal; delegation is not. The gap between the two is the real story.
The specific jobs travellers hand to an assistant, before, during and after a trip.
National tourism organisations and destination marketers, measured against the travellers they serve.
Adoption, outlook and the capability gap between chains and independents.
Where agentic AI is already in production, and the data fragmentation holding it back.
What the shift is worth, where the money moves, and which claims are forecasts rather than measurements.
What goes wrong: stale answers, unverified claims, and the policy response taking shape.
The baseline volumes that AI-era percentages are percentages of.
Sources
Fifteen publishers behind the figures, out of thirty-one the observatory tracks. We weigh them by how much of their method they disclose rather than publishing a grade: official statistics first, vendor research clearly labelled, aggregators used only to find primary documents.
How we handle a number
How a figure gets into this observatory, how it is graded, and what we do when sources disagree.
MethodMachine-readable
Every page here exists as HTML, as Markdown and as JSON, and every figure carries its source in machine-readable form.