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Context: The convergence between artificial intelligence (AI) and tourism has driven digital transformation in the industry, creating opportunities to enhance operational efficiency and traveler experiences. This study aims to understand how AI contributes to the sustainable development of tourism through process automation, hyper-personalization, and predictive analytics. Objective: To analyze how artificial intelligence (AI) contributes to the sustainable development of tourism by optimizing hyper-personalization, process automation, and predictive analytics to enhance operational efficiency and traveler experience. Methodology and Method: A systematic literature review was conducted using the PRISMA method. A total of 45 articles were selected through a filtering process in academic databases such as Scopus, Web of Science, and Google Scholar, applying inclusion criteria such as language, open access, and relevance .Results: AI enables hyper-personalization in service offerings, automation to optimize operational management, and predictive analytics to anticipate demand patterns. However, it also presents challenges such as data privacy, digital inclusion, and ethical regulation. Conclusions: AI can sustainably transform tourism if appropriate regulatory frameworks, training strategies, and cross-sector collaboration are implemented to ensure inclusive and responsible development.
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Dustin Tahisin Gómez Rodríguez (2025) studied this question.