Artificial intelligence has become a standard tool across the global hotel industry, with 91% of chains now deploying AI in some form, according to a new study from hospitality advisory firm h2c. However, the research, titled The AI Opportunity 2026: Real Wins for Guests, Staff, and Hotel Operators, reveals a striking disconnect: only 28% of these chains have a company-wide AI strategy led by senior leadership. This gap between adoption and readiness is a central concern for hoteliers as they navigate the technology's potential.
The study, based on responses from 113 hotel chains representing more than 8,200 properties worldwide, indicates that AI is most frequently applied to operational efficiency and automation. Seventy percent of respondents reported improvements in these areas, suggesting that AI is already delivering tangible back-of-house benefits. Yet financial returns remain scarce, with just 13% of organizations saying they have achieved a measurable return on investment from their AI initiatives.
Guest experience gains, but expertise lags
AI's impact on guest experience is also emerging, with 32% of chains reporting enhancements in this area. However, the path to broader implementation is blocked by a significant skills gap. Fifty-six percent of respondents cited a lack of internal AI expertise as a major barrier, while integration with existing systems and data governance issues also ranked high on the list of challenges.
This expertise deficit is prompting many hotel chains to lean on external technology providers. The study found that 60% of AI usage is attributed to public tools like ChatGPT, which are easy to deploy but may not be tailored to the specific needs of a hotel operation. As hoteliers walk a tightrope between innovation and guest trust, the reliance on off-the-shelf solutions could become a point of vulnerability.
The research also points to a growing interest in AI-driven booking channels. Seventy percent of respondents expect these channels to increase direct bookings in the near future, a development that could reshape distribution strategies for hotel groups. This aligns with broader industry trends, as seen in Amadeus's recent survey showing APAC agents leading in AI adoption while rate parity remains a non-negotiable.
For travel professionals, the h2c findings underscore a critical lesson: adopting AI is not the same as being AI-ready. The study suggests that hotel chains must invest in building internal expertise, improving data management, and developing strategic frameworks to fully leverage AI's capabilities. Without these foundations, the technology risks becoming a costly experiment rather than a driver of competitive advantage.
As the hospitality industry continues to explore AI's potential, the focus is shifting from experimentation to execution. The chains that succeed will be those that pair technological investment with organizational change, ensuring that AI is not just present but purposeful. For now, the industry remains in a transitional phase, where the promise of AI is clear but the path to realizing it is still being mapped.
