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India | Economics and Business | Volume 14 Issue 8, August 2025 | Pages: 1292 - 1297
Artificial Intelligence in Tourism and Hospitality: Pathways to Inclusive and Sustainable Growth
Abstract: The tourism industry is undergoing a profound digital transformation, with Artificial Intelligence (AI) emerging as a central enabler of innovation and competitiveness. This paper explores the evolution of smart tourism and critically examines the role of AI in reshaping the sector. By integrating technologies such as machine learning, natural language processing, and generative AI, tourism stakeholders can enhance personalization, operational efficiency, and sustainability. The study highlights significant benefits for travelers-including convenience, safety, and tailored experiences-and for businesses through cost savings, revenue optimization, and customer loyalty. However, the adoption of AI also presents challenges, including high implementation costs, the risk of job displacement, data privacy concerns, and algorithmic bias. A systematic literature review and industry analysis reveal that while large corporations are rapidly leveraging AI to consolidate market dominance, small and medium enterprises (SMEs) face barriers that may exacerbate competitive inequalities. The findings underscore the need for balanced, ethical, and inclusive adoption models that integrate local values, ensure transparency, and foster ecosystem sustainability. The study concludes that AI must be strategically implemented not as a purely technological upgrade, but as a human-centered enabler of smarter, more sustainable tourism systems.
Keywords: Artificial Intelligence (AI), Smart Tourism, Personalization, Sustainability, Digital Transformation
How to Cite?: Dr. Ponugoti Venkateshwar Rao, "Artificial Intelligence in Tourism and Hospitality: Pathways to Inclusive and Sustainable Growth", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 1292-1297, https://www.ijsr.net/getabstract.php?paperid=SR25823164126, DOI: https://dx.doi.org/10.21275/SR25823164126