Purpose: The purpose of this study is to provide a bibliometric analysis of the literature on artificial intelligence applications in the hotel sector. The evaluation is conducted on 750 papers published between 1984 and 2025. The study looks for the most prominent journals in this field, the most published years, the most referenced articles, key authors, and the most productive nations and organizations. Network maps of coauthorship and keyword co-occurrences are also reported. Approach, Methodology, and Design: The extensive data from the several papers that were part of this study was analyzed using the Scopus database. Co-authorship network maps, inter-country co-authorship network maps, and keyword co-occurrences network maps were all made using the VOSviewer software. Findings: The findings show that the greatest number of publications were published in 2024.International The Journal of Contemporary Hospitality Management and Computer Science Lecture Notes with Subseries The two most important journals are Lecture Notes in Bioinformatics and Lecture Notes in Artificial Intelligence. The most cited paper is the “Effect of Covid-19 on hotel marketing and management: A perspective article.” Additionally, the most well-known writer is Ivanov, S., and the nation with the highest rate of production and institutions are China and The Hong Kong Polytechnic university, in turn. Originality/value: This research adds to the body of knowledge on artificial intelligence and hotels. Using bibliometric tools, a thorough and trustworthy image of this field is provided. The findings may act as a guide for authors who wish to conduct additional study on this topic in the future.