UK Leads Europe in AI Travel Planning Adoption

According to MMGY Travel Intelligence's 2026 Portrait of European Travellers study, 52% of UK travellers now use AI tools to plan holidays, up from 40% in 2025. The study, which surveyed travellers in the UK, France, Germany, Italy and Spain, reports that ChatGPT is the most commonly used AI platform among UK respondents, with 35% citing it for travel planning. MMGY found that the primary AI use case among UK travellers is generating travel inspiration and ideas, cited by 47% of respondents. The study also highlights social media's influence: 46% of UK travellers say social platforms influence their holiday decisions and 32% use them to research and follow destinations, with YouTube and Instagram named as the most influential platforms.
What happened
According to MMGY Travel Intelligence's "2026 Portrait of European Travellers" study, 52% of UK travellers use AI tools to plan holidays, up from 40% in 2025. The research surveyed travellers in the UK, France, Germany, Italy and Spain and reports that ChatGPT is the most widely used AI platform among UK respondents, at 35%. MMGY reports that the leading AI use case in the UK is generating travel inspiration and ideas, cited by 47% of respondents. The study also finds that 46% of UK travellers say social media platforms influence their holiday decisions and 32% use those platforms to research and follow destinations, with YouTube and Instagram identified as most influential. Simon Moriarty, VP, Syndicated Research at MMGY Travel Intelligence, is quoted in the release: "UK travellers are emerging as Europe's most enthusiastic adopters of artificial intelligence in the travel planning process."
Editorial analysis - technical context
Industry-pattern observations show consumer-facing conversational models and recommendation engines are commonly used for ideation and discovery, rather than transactional booking, which matches MMGY's finding that inspiration is the primary AI use case. For consumer-facing products, this usually implies integration points focused on search, content generation, and summarization rather than deep account-level workflows or payments.
Context and significance
Faster year-on-year growth in a major market, rising from 40% to 52%, typically signals increasing comfort with AI-driven discovery and a higher expectation for personalised suggestions in the travel experience. Comparable studies across consumer verticals have linked rising conversational AI use to greater demand for content tailored to LLM-style prompts and to metadata that supports relevance signals for recommendation models.
What to watch
Observers should monitor three indicators over the next 6-12 months: uptake of API-driven travel content feeds and prompt-optimized copy from travel suppliers; changes in referral patterns from social platforms named by MMGY, notably YouTube and Instagram; and any follow-up MMGY reporting that segments AI use by booking stage versus inspiration.
For practitioners
Marketers, product managers, and data teams working in travel should treat this as a signal to audit content pipelines for LLM compatibility, instrument referral attribution for conversational channels, and measure how AI-generated inspiration converts to bookings. Industry reporting frames this as greater emphasis on discovery workflows rather than an immediate shift to AI-managed bookings.
Scoring Rationale
Single-source vendor research study showing rapid UK consumer adoption of AI for travel planning. Relevant to travel-sector product and marketing teams but limited in depth for AI/ML practitioners: no new model, no technical breakthrough, and no independent corroboration of the survey figures.
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