Mascha Driessen, Vice President Continental Europe at Microsoft, delivered a keynote at ITB Berlin exploring how generative AI is transforming travel marketing, personalization, and consumer search behavior. Drawing on 15+ years at major tech companies including Google, YouTube, and now Microsoft, she positioned the current moment as an inflection point unlike any prior technology wave — noting that the adoption curve for generative AI is steeper than that of the internet, smartphone, or cloud computing combined.
Driessen opened with a productivity paradox: 80% of workers say they lack enough time or energy to do more, while 53% of business leaders demand increased productivity. She framed Microsoft's Copilot — the branded expression of their exclusive partnership with OpenAI, which began with a $1B+ investment in 2019 and went public with generative AI in February 2023 — as the resolution to that tension. Microsoft reports a 3.7x ROI for every dollar invested in AI across business operations. In the travel and hospitality sector specifically, 92% of companies plan to increase AI investments over the next three years, and 97% of consumers want a single super-app capable of managing their end-to-end travel experience.
On search behavior, Driessen presented data showing that 40% of searches currently result in a 'clickback' — users returning to the search engine after failing to find what they need via blue links. This signals that keyword-based search is becoming obsolete. Since Microsoft launched Copilot in Bing in February 2023, consumers have been migrating to natural-language queries. A concrete example showed how a user can ask for 'an Easter getaway in Paris for two adults and two adult sons — foodies who love art and sports — with a two-day itinerary' and receive a curated, conversational response rather than a list of links.
For holiday package research, the average consumer journey is still 20 days — but AI users make 88 AI touchpoints during that window versus 55 touchpoints for non-AI users. Counterintuitively, AI use peaks on day zero — the day of purchase — as consumers validate prices and check nearby restaurants or experiences before booking. This has major implications for travel marketers: content must be structured, schema-marked, and solution-oriented to be surfaced by AI engines.
Driessen presented two travel brand case studies. Air India built a Copilot plugin that connected natural language queries to operational data, reducing operational costs, streamlining decision-making, and improving customer satisfaction through faster response times. Holland America Line built a virtual agent via Microsoft Copilot Studio that reduced inbound call volume, increased conversion rates, and streamlined content maintenance. On the advertising side, ClubMed added an AI layer to audience ads and achieved a 2x lower cost per booking. Robinson (via agency Hurah) shifted to a full-funnel approach using audience, video, and premium ads to reach net-new travelers, yielding significant efficiency and reach gains.
Driessen highlighted multimodality — the ability to go from any input (speech, image, text) to any output — as the foundation of next-generation personalization at scale. She noted that 60% of content creators and 85% of marketers are already using generative AI to create content. LinkedIn data shows a 142x increase in profiles listing AI-related skills, and LinkedIn predicts that by 2030, 70% of its users will have evolved skill sets driven largely by AI. She closed by highlighting that 72% of consumers expect AI-assisted agentic buying experiences within the next 12 months, and announced the launch of 'Copilot Groups' the prior week — enabling collaborative group trip planning within Copilot.
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