Innovation

🛩 AirAsia Move CEO, Nadia Omer, discusses trends in travel preferences of Gen Z, highlighting their reliance on AI for personalized recommendations. Trust in Online Travel Agencies (OTAs) is expected to grow, driven by improved digital experiences. AirAsia Move is focusing on enhancing AI capabilities to better meet the needs of this demographic. With a strong emphasis on data, the company aims to revolutionize the travel industry, tapping into insights to cater to evolving consumer behaviors.

📊 Apr 28, 2026: Corporate buyers now enter negotiations with AI-benchmarked rates. Tools have shifted rate analysis to buyers in corporate, group, and leisure segments. The traditional hotel sales model, which relied on sellers' informational advantage, is obsolete. AI and data platforms equip buyers to bypass sales intermediaries. Sales tech spend rises, yet conversion rates drop. Remaining sales functions include differentiation, exception handling, and negotiation. The asymmetry that once justified sales roles is gone, demanding a reevaluation of sales strategies.

🏨 High-end hotels are leading the hospitality sector in 2026 by leveraging data-driven revenue management and marketing strategies. Upscale properties are adopting all-inclusive trends to meet guests' demands for simplicity and personalized experiences. "Hushpitality" is a trend focusing on minimal disruptions. Luxury now includes local design themes, as guests value beauty and a connection to the locale. Revenue management is pivotal in shaping demand, ensuring luxury becomes a standard across price points, not just a segment.

💻 London—A joint report by RMS and RoomPriceGenie reveals that over 80% of hospitality professionals face stress from tech issues, as many manage 10+ systems. 42% spend 1-3 hours weekly fixing these problems, with 5% spending over 7 hours. Nearly 70% of operators rate data accuracy poorly. The industry is urged to adopt a "Hospitality Engineer" mindset, blending service with tech skills to minimize manual work and boost efficiency, especially with AI and automation on the rise.

The hotel industry has always evolved through waves of innovation. From the first purpose-built hotels in the late 18th century to today’s fully integrated smart rooms, each leap has redefined…

💻 AI agents are reshaping visibility in digital commerce. Search engines once prioritized rankings, but AI agents now provide minimal results, making complete product data, structured inventory, and reliable availability signals crucial for eligibility. Businesses not meeting these criteria become invisible, especially impacting local commerce. Haystack aims to enhance AI visibility for local stores, transforming them from “not eligible” to selectable. The core focus shifts from traffic to being machine-readable to maintain diverse consumer choices.

💳 In 2026, hotel payment systems need to evolve into smooth Fintech platforms. Current issues include clunky redirects, hidden fees, and manual credit card entry failures. Revenue Managers often debate over $5 price changes, yet outdated checkout processes hinder conversions. It's crucial to remove friction at purchase points to prevent profit loss. Treat payments as a major conversion engine, not a back-office task. Patrick Landman leads XOTELS and WIWT.travel, focusing on modernizing hotel revenue management and distribution.

💻 Influence Society highlights the shift in hospitality marketing as AI-driven processes redefine brand discovery. Websites are now seen as critical brand territories, beyond mere sales tools. With travelers increasingly relying on AI over traditional searches, brands must ensure their narratives are clear and compelling to stand out in a world dominated by interpretation and answer engines. This transformation challenges luxury brands to maintain visibility and desirability in this evolving digital landscape.

📈 OpenAI is shifting ChatGPT ads from CPM to CPC for better performance metrics, competing with Meta and Google. Ads face a weak demand-supply match, with underdelivery and discounted CPMs at $15–$25 versus the $60 target. Measurement limitations hinder advertiser spend scaling. Enhancements include self-serve tools and conversion-oriented ads. Challenges include poor targeting, limited brand safety, and basic ad formats. Closing these gaps could elevate ChatGPT ads as a high-intent performance channel.