There’s a growing assumption in hospitality that AI is replacing search. If AI rises, search must fall. But this zero-sum mindset isn’t reality. Instead of replacing search, AI is expanding it. And it has the power to supercharge every hotel’s Find, Book, and Grow strategy too. Why Search Is Becoming an AI-Powered Journey The problem isn’t that search is disappearing.
AI agents for hotels represent the next evolution of artificial intelligence in hospitality. Unlike traditional AI tools or chatbots that respond to prompts, AI agents can analyze data, make decisions, and take action across departments automatically. This will enable hotels to contend with staffing challenges and continue to meet and exceed guest expectations. In this article, you’ll learn what AI
AI in hotels describes the use of artificial intelligence technology in the hotel industry. This technology is increasingly used to automate processes, analyze vast amounts of data, and deliver next-level personalization. Modern AI technology has become a significant benefit for the industry as it deals with challenges like labor shortages and rising costs. AI can also be used to reduce
Question for Our Revenue Management Expert Panel If you could design just one AI Agent to support your revenue management projects and workflows, without any restrictions or limitations, what would it do and why? (Question by Michael J. Goldrich.) Our Revenue Management Expert Panel Ric van Holthe tot Echten - Founder &
Question for Our Hotel Marketing Expert Panel If you could design just one AI Agent to support your hotel marketing projects and workflows, without any restrictions or limitations, what would it do and why? (Question by Michael J. Goldrich.) Our Marketing Expert Panel Michael J. Goldrich - Founder & Chief Advisor, Vivander Nicolas
Question for Our Revenue Management Expert Panel What are the top skills hotel revenue management teams need to succeed in an AI-driven hospitality landscape? How can they improve and future-proof their skills to leverage AI to its full potential? Our Revenue Management Expert Panel Ric van Holthe tot Echten - Founder & Managing
Question for Our Hotel Marketing Expert Panel What are the top skills hotel marketing teams need to ensure success in an AI-driven hospitality landscape? How can they improve and future-proof their skills to leverage AI to its full potential? Our Marketing Expert Panel Stephanie Smith-Sparks - Founder, Cogwheel Marketing Michael J. Goldrich -
AI-driven discovery is changing how travelers find hotels, compare options, and decide where to book. Instead of browsing pages of search results, guests increasingly ask AI tools for specific recommendations based on budget, location, amenities, and preferences. This shift has major implications for hotel revenue, channel mix, OTA dependency, and direct demand capture. For revenue managers, visibility in AI-generated answers
Housekeeping robots are machines capable of carrying out tasks typically associated with housekeeping departments, such as cleaning, tidying, and moving objects. These machines are used to reduce the workload of housekeeping staff and improve operational efficiency. In this article, you can learn more about housekeeping robots and explore examples of some of the most innovative robots in use right now.
AI agents in the travel industry are autonomous software systems that are able to work independently to achieve specific goals. They do not require human intervention and can make decisions and learn from outcomes over time. Within the travel industry, AI agents are useful as the industry currently faces key challenges that they can assist with. These agents can simplify
The hospitality industry is evolving rapidly, with shifting guest expectations and unpredictable market conditions challenging traditional approaches. Hotels can no longer rely solely on historical data or manual strategies to remain competitive. Artificial intelligence is emerging as a powerful tool that helps hoteliers respond faster, personalize guest experiences, and optimize revenue decisions in real time. By integrating AI into daily
AI agents in the hospitality industry are used by hotels, restaurants, cafés, and similar businesses to handle complex tasks autonomously. They are capable of advanced reasoning and can make decisions without human oversight. This technology is important for hospitality businesses because guests want personalization and fast service, which AI agents can deliver. At the same time, autonomous agents can help
Artificial intelligence is already reshaping hospitality, yet many hotels remain stuck between experimentation and real impact. Promises of automation, smarter revenue decisions, and seamless guest experiences often clash with uncertainty around integration and strategy. In 2026, Model Context Protocol (MCP) marks a turning point by connecting AI tools directly to live hotel systems and data. In this article, you’ll learn
Lightning‑fast data analysis, conversational deep dives into performance trends, and drastically reduced reporting workloads. AI promises hospitality leaders unprecedented speed and efficiency. It’s no wonder the industry is buzzing with excitement. Yet in today’s AI gold‑rush environment—full of hype, noise, and fear‑of‑missing‑out messaging—the risk of missteps has never been higher. Emerging technologies always carry risk, but hotels can mitigate it
Artificial intelligence is entering a new phase in hospitality, where its impact depends on how well it supports continuity across the guest experience. Travelers increasingly expect seamless interactions from discovery through departure, regardless of channel or touchpoint. As AI becomes embedded in how guests search, decide, and engage, hotels must think beyond isolated tools and toward connected systems that guide
AI is moving fast. Really fast. Every day seems to bring a new breakthrough: an image generator that goes viral, a smarter chatbot, a more powerful time-saving tool. Some innovations will fizzle out or quickly be supplanted. Others will fundamentally change how we live and work. And one of the latest to watch for revenue managers? OpenAI’s Operator. Operator has
AI adoption is happening in hotels, and hoteliers are confident about the future role of AI in hospitality. While there are barriers and challenges as businesses come to understand AI adoption, there are positive ways in which AI is being applied. This article outlines the three foundational areas shaping the future of AI-powered Find, Book, and Grow strategies in hospitality.
For hoteliers looking to find customers, convert them to Book, and grow revenue amid stiff competition, smarter data insights are necessary. But if more isn't done to bring system data together in a cohesive, intelligent, and integrated way, commercial teams will flounder, unable to deliver hard, fast ROI. The Balancing Act of Modern Hospitality Hotels operate in one of the