AI Is Not an All-or-Nothing Decision: Laura Houldsworth, Booking.com

The travel industry stands at a critical technological crossroads. With the rapid rise of generative AI, businesses are facing immense pressure to revolutionise their operations, often resulting in a frantic rush to automate. However, according to Laura Houldsworth, Managing Director of Asia Pacific (APAC) at Booking.com, this rush is built on a false premise. Successful AI adoption does not require an immediate, sweeping overhaul of every business function. Instead, the future of travel technology lies in a balanced, highly targeted approach that integrates AI where it adds measurable value while keeping the human touch firmly at the centre of the experience.

Laura Houldsworth, Managing Director of Asia Pacific at Booking.com

For many travel operators, hotels, and airlines, the decision to invest in artificial intelligence feels like a high-stakes gamble: either jump headfirst into massive capital investments or risk falling hopelessly behind. Laura Houldsworth strongly challenges this "all-or-nothing" mentality. "AI investment does not necessarily have to be an all-or-nothing decision," Houldsworth explains. "The more useful question for travel businesses and our partners is where AI can solve a genuine customer or operational challenge and deliver meaningful, measurable value". Rather than trying to automate every aspect of the travel ecosystem, Houldsworth suggests that companies should leverage AI to amplify their existing core strengths. "At Booking.com, that means combining AI with our proprietary travel data, longstanding partner relationships, global payments infrastructure, customer support capabilities, and decades of experience managing the complexity behind every booking," she notes.

For industry partners, the directive is clear: avoid adopting technology simply for its own sake. "AI should build on the strengths and expertise they already bring to travellers rather than being adopted for its own sake," says Houldsworth. "Ultimately, there is no one size-fits-all approach to AI. Every AI strategy should be tailored to the company’s specific business priorities, focusing on areas where it can create the greatest value for customers, employees and partners."

Travel is not merely a logistical transaction; it is a deeply emotional, human experience. According to Booking.com’s Travel Happiness Index, an overwhelming 84% of APAC travellers report that travel helps them reset mentally and emotionally. Because behind every flight or hotel booking lies a highly personal decision, technology alone cannot satisfy a traveller’s needs. "Travel is deeply personal, which makes it important to think carefully about where automation adds value and where human empathy and judgement remain essential," says Houldsworth. While AI can streamline planning and offer immediate answers, travellers still crave human reassurance, especially when things go wrong. Indeed, 81% of APAC travellers state that the availability of customer support is an important factor when selecting a booking platform.

To resolve this, Booking.com has designed a cooperative model where AI works behind the scenes to streamline workflows, while human agents are positioned to handle emotionally complex customer needs. Houldsworth points out that the most effective approach is "to use AI to handle complexity in the background and bring a person at the right moment". This design philosophy is evident in Booking.com's AI Trip Support system. The tool provides 24/7 AI-driven assistance to manage routine enquiries, yet remains fully integrated with human teams. "Ultimately, our goal is not to automate every interaction and remove people from customer service but to use technology to reduce friction and improve the customer experience while preserving the human connection that travellers continue to value," Houldsworth emphasises.

Booking.com is no stranger to artificial intelligence, having integrated machine learning into its marketplace for over a decade. Today, the company is scaling its capabilities by combining proprietary models with foundational systems from generative AI leaders like OpenAI, Anthropic, AWS, and Google. Its deployment strategy spans across both customer-facing (frontend) and operational (backend) services, targeted at optimising the "Connected Trip" experience. On the frontend, the platform has introduced consumer-focused tools such as a ChatGPT app integration that lets users search for flights, accommodations, car rentals, and attractions through a natural language interface before finalising bookings on the main platform, along with an AI car rental helper that provides round-the-clock answers to common questions about payments, insurance, and pick-up procedures. On the backend, AI supports the system with automated fraud detection that combines machine learning and manual review in a tiered, risk-based approach, enabling the platform to identify suspicious listings and remove most fraudulent entries within 24 hours.

This dual-tiered tech infrastructure also powers Booking.com's localised strategies. Travel mindsets differ wildly across borders. For instance, while 59% of Chinese travellers report experiencing no travel anxiety, a staggering 79% of South Korean travellers report feeling anxious about their journeys. Rather than deploying a generic, uniform interface, Booking.com focuses on understanding localised sources of friction and easing anxiety through targeted tech. One prominent source of anxiety is the payment process. To address this, Booking.com partnered with Antom (under Ant International) in 2025 to progressively roll out more than 40 localised payment options across APAC. This enables anxious travellers to pay using their preferred local methods and local currencies, providing peace of mind and building transaction confidence.

Beyond individual customer preferences, Booking.com's Global AI Sentiment Report reveals a striking contradiction that travel companies must confront: while 95% of APAC consumers express excitement about AI’s potential, only 8% fully trust the technology, and a staggering 91% report at least one concern about its implications. This stark contrast may suggest a broader societal pushback, deeply rooted in anxieties surrounding the wider impacts of AI, most notably data privacy concerns (noted by 54% of respondents), fears of widespread job displacement, and emerging environmental issues. As businesses accelerate their digital transformations, the success of any AI adoption strategy may also have to depend heavily on actively addressing these friction points.