<?xml version="1.0" encoding="UTF-8"?><article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">jots</journal-id><journal-title-group><journal-title>Journal On Tourism &amp; Sustainability</journal-title></journal-title-group><issn pub-type="epub">2515-6780</issn><publisher><publisher-name>OTS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">69666f2d35ab4477b779ca6f</article-id><article-id pub-id-type="doi">10.5281/zenodo.18234391</article-id><title-group><article-title>The Multifaceted Impact Of Artificial Intelligence (Ai) In The Hospitality Sector: A Critical Assessment</article-title></title-group><contrib-group><contrib contrib-type="author" specific-use="first"><name><surname>Bakir</surname><given-names>Ali</given-names></name><xref ref-type="aff" rid="aff-1"/><contrib-id contrib-id-type="orcid" authenticated="false">0000-0001-8354-1993</contrib-id><email>ali.bakir@bucks.ac.uk</email></contrib><aff id="aff-1">Buckinghamshire New University, UK</aff></contrib-group><fpage>50</fpage><lpage>62</lpage><pub-date pub-type="epub"><day>10</day><month>01</month><year>2026</year></pub-date><history><date date-type="received"><day>13</day><month>01</month><year>2026</year></date></history><abstract><p>Artificial Intelligence (AI) is transforming hospitality by reshaping operational processes, guest experience, labour dynamics, and strategic decision-making. This study offers a critical, multi-dimensional assessment of AI’s influence, examining its economic, social, ethical, environmental, and regulatory implications. While AI enhances efficiency through automation, predictive analytics, and personalised service, it also raises concerns about data governance, algorithmic bias, workplace surveillance, and the erosion of human warmth in service interactions. Environmental benefits achieved through optimised resource management are offset by the significant energy and material demands of AI infrastructures. Regulatory frameworks remain fragmented and often inadequate for addressing the sector’s distinctive reliance on personal data and intelligent automation. The study argues that AI’s value depends on technological capability as well as on responsible governance, human-centred design, and sustainability commitments. It concludes that balanced, ethically informed adoption is essential for ensuring that AI supports a more equitable, resilient, and environmentally conscious future for hospitality.</p></abstract><kwd-group kwd-group-type="author-generated"><kwd>Artificial Intelligence (AI)</kwd><kwd>Hospitality Industry</kwd><kwd>Digital Transformation</kwd><kwd>Sustainable Tourism</kwd><kwd>Ethical AI</kwd><kwd>Human–AI Interaction</kwd><kwd>Personalisation</kwd><kwd>Guest Experience</kwd><kwd>Environmental Sustainability</kwd><kwd>Data Governance</kwd><kwd>Responsible Innovation</kwd></kwd-group><permissions><license xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>CC BY 4.0</license-p></license></permissions><custom-meta-group><custom-meta><meta-name>canonical-url</meta-name><meta-value>https://otsjournal.org/journals/jots/articles/69666f2d35ab4477b779ca6f</meta-value></custom-meta></custom-meta-group></article-meta></front><back><ref-list><ref id="ref-1"><mixed-citation>Abdulmawla, M., Menesey, R. M., &amp; Khalaf, S. N. (2025). How Human-centric leadership catalyses employee voice behaviour and employee empowerment in the hospitality industry: The mediating role of job crafting. Journal of the Faculty of Tourism and Hotels-University of Sadat City, 9(2/2), 1-28.</mixed-citation></ref><ref id="ref-2"><mixed-citation>Aphisavadh, S. (2025). The impact of artificial intelligence in the global hospitality industry by 2030. World, 25(1), 1691-1701.</mixed-citation></ref><ref id="ref-3"><mixed-citation>Bahangulu, J. K., &amp; Owusu-Berko, L. (2025). Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications. World J Adv Res Rev, 25(2), 1746-63.</mixed-citation></ref><ref id="ref-4"><mixed-citation>Bakshi, N., &amp; Singh, A. K. (2024). AI-enabled smart buildings reducing the carbon footprint and enhancing guest experiences in eco-friendly hotels. In Hotel and Travel Management in the AI Era (pp. 79-98). IGI Global Scientific Publishing.</mixed-citation></ref><ref id="ref-5"><mixed-citation>Banerjee, S. (2024). Intelligent cloud systems: AI-driven enhancements in scalability and predictive resource management. International Journal of Advanced Research in Science, Communication and Technology, 266-276.</mixed-citation></ref><ref id="ref-6"><mixed-citation>Berthelot, A., Caron, E., Jay, M., &amp; Lefèvre, L. (2024). Estimating the environmental impact of Generative-AI services using an LCA-based methodology. Procedia CIRP, 122, 707-712.</mixed-citation></ref><ref id="ref-7"><mixed-citation>Berthelot, A., Caron, E., Jay, M., &amp; Lefevre, L. (2025). Understanding the environmental impact of generative AI services. Communications of the ACM, 68(7), 46-53.</mixed-citation></ref><ref id="ref-8"><mixed-citation>Binesh, N., &amp; Syah, A. M. (2025). AI ethics in hospitality and tourism: Theoretical perspectives, ethical beliefs, and actionable outcomes. OSF Preprints, (akf4z_v1).</mixed-citation></ref><ref id="ref-9"><mixed-citation>Bist, Y. (2025). Data Privacy, Ethics, and the Role of Al in Demystifying Emotion AI, Robotics AI, and Sentiment Analysis in Customer Relationship Management, 283.</mixed-citation></ref><ref id="ref-10"><mixed-citation>Bolton, S., &amp; Houlihan, M. (2009). Work matters: Critical Reflections on Contemporary Work. Bloomsbury Publishing.</mixed-citation></ref><ref id="ref-11"><mixed-citation>Brougham, D., &amp; Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management &amp; Organisation, 24(2), 239-257.</mixed-citation></ref><ref id="ref-12"><mixed-citation>Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., &amp; Hofacker, C. (2019). Technological disruptions in services: lessons from tourism and hospitality. Journal of Service Management, 30(4), 484-506.</mixed-citation></ref><ref id="ref-13"><mixed-citation>Buhalis, D., &amp; Moldavska, I. (2022). Voice assistants in hospitality: using artificial intelligence for customer service. Journal of Hospitality and Tourism Technology, 13(3), 386-403.</mixed-citation></ref><ref id="ref-14"><mixed-citation>Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Handbook of e-Tourism (pp. 1943-1962). Cham: Springer International Publishing.</mixed-citation></ref><ref id="ref-15"><mixed-citation>Chen, A., Koegel, S., Hannon, O., &amp; Ciriello, R. (2023). Feels like empathy: How “emotional” AI challenges human essence. In Australasian Conference on Information Systems.</mixed-citation></ref><ref id="ref-16"><mixed-citation>Clark, Q. M., Kanavikar, D. B., Clark, J., &amp; Donnelly, P. J. (2025). Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings. Frontiers in Artificial Intelligence, 7, 1429477.</mixed-citation></ref><ref id="ref-17"><mixed-citation>Couldry, N., &amp; Mejias, U. A. (2019). The costs of connection: How data is colonizing human life and appropriating it for capitalism. In The Costs of Connection. Stanford University Press.</mixed-citation></ref><ref id="ref-18"><mixed-citation>Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.</mixed-citation></ref><ref id="ref-19"><mixed-citation>Davenport, T., &amp; Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.</mixed-citation></ref><ref id="ref-20"><mixed-citation>Doborjeh, Z., Hemmington, N., Doborjeh, M., &amp; Kasabov, N. (2022). Artificial intelligence: a systematic review of methods and applications in hospitality and tourism. International Journal Of Contemporary Hospitality Management, 34(3), 1154-1176.</mixed-citation></ref><ref id="ref-21"><mixed-citation>Du, S., &amp; Xie, C. (2021). Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. Journal of Business Research, 129, 961-974.</mixed-citation></ref><ref id="ref-22"><mixed-citation>Dwivedi, Y. K., Helal, M. Y. I., Elgendy, I. A., Albashrawi, M. A., Hughes, L., Shawosh, M., ... &amp; Jeon, I. (2025). Artificial intelligence agents and agentic systems in hospitality and tourism: challenges, opportunities and research agenda. International Journal of Contemporary Hospitality Management.</mixed-citation></ref><ref id="ref-23"><mixed-citation>https://doi.org/10.1108/IJCHM-02-2025-0287</mixed-citation></ref><ref id="ref-24"><mixed-citation>Duggan, J., Sherman, U., Carbery, R., &amp; McDonnell, A. (2020). Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30(1), 114-132.</mixed-citation></ref><ref id="ref-25"><mixed-citation>Egbemhenghe, A. U., Ojeyemi, T., Iwuozor, K. O., Emenike, E. C., Ogunsanya, T. I., Anidiobi, S. U., &amp; Adeniyi, A. G. (2023). Revolutionizing water treatment, conservation, and management: Harnessing the power of AI-driven ChatGPT solutions. Environmental Challenges, 13, 100782.</mixed-citation></ref><ref id="ref-26"><mixed-citation>Enholm, I. M., Papagiannidis, E., Mikalef, P., &amp; Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information systems frontiers, 24(5), 1709-1734.</mixed-citation></ref><ref id="ref-27"><mixed-citation>Ersoy, A., &amp; Ehtiyar, R. (2023). The impact of artificial intelligence on hospitality employees’ work outcomes. Advances in Hospitality and Tourism Research (AHTR), 11(4), 505-526.</mixed-citation></ref><ref id="ref-28"><mixed-citation>Ezzaouia, I., &amp; Bulchand-Gidumal, J. (2023). The impact of information technology adoption on hotel performance: Evidence from a developing country. Journal of Quality Assurance in Hospitality &amp; Tourism, 24(5), 688-710.</mixed-citation></ref><ref id="ref-29"><mixed-citation>Fang, M., Le Minh, T., Louie, J., Pham, L. N., &amp; Hewson, C. (2026). Leadership networks: Shaping AI innovations through responsible practices in Vietnamese tourism and hospitality firms. Tourism Management, 113, 105317.</mixed-citation></ref><ref id="ref-30"><mixed-citation>Fazi, L., Zaniboni, S., &amp; Wang, M. (2025). Age differences in the adoption of technology at work: a review and recommendations for managerial practice. Journal of Organisational Change Management, 38(8), 138-175.</mixed-citation></ref><ref id="ref-31"><mixed-citation>Garcia, A., &amp; Adams, J. (2022). Data-driven decision making: Leveraging analytics and AI for strategic advantage. Research Studies of Business, 1(02), 77-85.</mixed-citation></ref><ref id="ref-32"><mixed-citation>Gupta, P., &amp; Pareek, R. (2024). AI-enabled guest experience: disrupting hospitality through next-generation ai technologies. In Technology and Luxury Hospitality (pp. 165-181). Routledge.</mixed-citation></ref><ref id="ref-33"><mixed-citation>Henriques, H., &amp; Pereira, L. N. (2024). Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review. Tourism &amp; Management Studies, 20(3), 39-51.</mixed-citation></ref><ref id="ref-34"><mixed-citation>Ivanov, S., &amp; Webster, C. (2021). Willingness-to-pay for robot-delivered tourism and hospitality services–an exploratory study. International Journal of Contemporary Hospitality Management, 33(11), 3926-3955.</mixed-citation></ref><ref id="ref-35"><mixed-citation>Jose, R., Panigrahi, S. K., Patil, R. A., Fernando, Y., &amp; Ramakrishna, S. (2020). Artificial intelligence-driven circular economy as a key enabler for sustainable energy management. Materials Circular Economy, 2(1), 8.</mixed-citation></ref><ref id="ref-36"><mixed-citation>Kang, J., Shin, H., &amp; Kang, C. (2024). Hospitality labour leakage and dynamic turnover behaviours in the age of artificial intelligence and robotics. Journal of Hospitality and Tourism Technology, 15(5), 916-933.</mixed-citation></ref><ref id="ref-37"><mixed-citation>Khoa, D. T., Gip, H. Q., Guchait, P., &amp; Wang, C. Y. (2023). Competition or collabouration for human–robot relationship: a critical reflection on future cobotics in hospitality. International Journal of Contemporary Hospitality Management, 35(6), 2202-2215.</mixed-citation></ref><ref id="ref-38"><mixed-citation>Kozak, M., &amp; Correia, A. (2025). From mass marketing to personalised digital marketing in tourism: a 2050 horizon paper. Tourism Review, 80(1), 373-391.</mixed-citation></ref><ref id="ref-39"><mixed-citation>Ladeira, W., Perin, M. G., &amp; Santini, F. (2023). Acceptance of service robots: A meta-analysis in the hospitality and tourism industry. Journal of Hospitality Marketing &amp; Management, 32(6), 694-716.</mixed-citation></ref><ref id="ref-40"><mixed-citation>Lee, S. W., &amp; Sharma, A. (2025). AI versus human-generated hotel pricing: Unpacking consumer perceptions of trustworthiness and fairness. Tourism Economics, 13548166251391486.</mixed-citation></ref><ref id="ref-41"><mixed-citation>Limna, P. (2023). Artificial Intelligence (AI) in the hospitality industry: A review article. International Journal of Computing Sciences Research, 7, 1306-1317.</mixed-citation></ref><ref id="ref-42"><mixed-citation>Liu, J., Qian, Y., Yang, Y., &amp; Yang, Z. (2022). Can artificial intelligence improve the energy efficiency of manufacturing companies? Evidence from China. International Journal of Environmental Research and Public Health, 19(4), 2091.</mixed-citation></ref><ref id="ref-43"><mixed-citation>Mariani, M. (2020). Big data and analytics in tourism and hospitality: a perspective article. Tourism Review, 75(1), 299-303.</mixed-citation></ref><ref id="ref-44"><mixed-citation>Martin, K., &amp; Nissenbaum, H. (2020). What is it about location? Berkeley Technology Law Journal, 35(1), 251-326.</mixed-citation></ref><ref id="ref-45"><mixed-citation>Nam, K., Dutt, C. S., Chathoth, P., Daghfous, A., &amp; Khan, M. S. (2021). The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges. Electronic Markets, 31(3), 553-574.</mixed-citation></ref><ref id="ref-46"><mixed-citation>Ning, M. A. (2024). Artificial intelligence-driven decision support systems for sustainable energy management in smart cities. International Journal of Advanced Computer Science &amp; Applications, 15(9).</mixed-citation></ref><ref id="ref-47"><mixed-citation>Nira, R. A. (2025). AI-driven hyper-personalisation in hospitality: application, present and future opportunities, challenges, and guest trust issues. International Journal of Research and Innovation in Social Science, 9(4), 5562-5573.</mixed-citation></ref><ref id="ref-48"><mixed-citation>O’Connor, P., &amp; Murphy, J. (2004). Research on information technology in the hospitality industry. International Journal of Hospitality Management, 23(5), 473-484.</mixed-citation></ref><ref id="ref-49"><mixed-citation>O&apos;neil, C. (2017). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.</mixed-citation></ref><ref id="ref-50"><mixed-citation>Orlikowski, W. J., &amp; Iacono, C. S. (2001). Research commentary: Desperately seeking the “IT” in IT research-A call to theorizing the IT artifact. Information systems research, 12(2), 121-134.</mixed-citation></ref><ref id="ref-51"><mixed-citation>Onyeaka, H., Tamasiga, P., Nwauzoma, U. M., Miri, T., Juliet, U. C., Nwaiwu, O., &amp; Akinsemolu, A. A. (2023). Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and minimising environmental impact: A review. Sustainability, 15(13), 10482.</mixed-citation></ref><ref id="ref-52"><mixed-citation>Oyewole, O. O., &amp; Joseph, J. F. (2025). Sustainable AI and green computing: Reducing the environmental impact of large-scale models with energy-efficient techniques. International Journal of Scientific Research in Network Security and Communication, 13(3), 19-26.</mixed-citation></ref><ref id="ref-53"><mixed-citation>Reis, J. (2024). Customer service through AI-powered human-robot relationships: Where are we now? The case of Henn na cafe, Japan. Technology in Society, 77, 102570.</mixed-citation></ref><ref id="ref-54"><mixed-citation>Salih, L., Tarhini, A., &amp; Acikgoz, F. (2025). AI-Enabled service continuance: roles of trust and privacy risk. Journal of Computer Information Systems, 1-16.</mixed-citation></ref><ref id="ref-55"><mixed-citation>Shaik, M. (2023). Predictive maintenance in hospitality using ai and aws bedrock. International Journal of Leading Research Publication, 4(2), 1-10.</mixed-citation></ref><ref id="ref-56"><mixed-citation>Seyitoğlu, F. (2021). Automation vs authenticity in services. ROBONOMICS: The Journal of the Automated Economy, 2, 20-20.</mixed-citation></ref><ref id="ref-57"><mixed-citation>Sharma, S., Rawal, Y. S., Pal, S., &amp; Dani, R. (2022). Fairness, accountability, sustainability, transparency (FAST) of artificial intelligence in terms of hospitality industry. In ICT Analysis and Applications (pp. 495-504). Singapore: Springer Nature Singapore.</mixed-citation></ref><ref id="ref-58"><mixed-citation>Shestakofsky, B. (2017). Working algorithms: Software automation and the future of work. Work and Occupations, 44(4), 376-423.</mixed-citation></ref><ref id="ref-59"><mixed-citation>Shi, X., Hao, F., &amp; Yuan, Y. (2025). Long-term effects of AI-powered robots on employee creativity in the hospitality industry: psychological mechanisms of human–AI collabouration. Journal of Hospitality Marketing &amp; Management, 1-23.</mixed-citation></ref><ref id="ref-60"><mixed-citation>Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.</mixed-citation></ref><ref id="ref-61"><mixed-citation>Solnet, D., Subramony, M., Ford, R. C., Golubovskaya, M., Kang, H. J., &amp; Hancer, M. (2019). Leveraging human touch in service interactions: Lessons from hospitality. Journal of Service Management, 30(3), 392-409.</mixed-citation></ref><ref id="ref-62"><mixed-citation>Stankov, U., Gretzel, U., Vujičić, M. D., Pavluković, V., Jovanović, T., Solarević, M., &amp; Cimbaljević, M. (2022). The pandemic of loneliness: designing smart tourism for combating loneliness. Information Technology &amp; Tourism, 24(4), 439-455.</mixed-citation></ref><ref id="ref-63"><mixed-citation>Turkle, S. (2007). Authenticity in the age of digital companions. Interaction studies, 8(3), 501-517.</mixed-citation></ref><ref id="ref-64"><mixed-citation>Talón-Ballestero, P., Nieto-García, M., &amp; González-Serrano, L. (2022). The wheel of dynamic pricing: Towards open pricing and one to one pricing in hotel revenue management. International journal of hospitality management, 102, 103184.</mixed-citation></ref><ref id="ref-65"><mixed-citation>Thomas, J., &amp; Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8(1), 45.</mixed-citation></ref><ref id="ref-66"><mixed-citation>Torraco, R. J. (2016). Writing integrative literature reviews: Using the past and present to explore the future. Human Resource Development Review, 15(4), 404-428.</mixed-citation></ref><ref id="ref-67"><mixed-citation>Tussyadiah, I. (2020). A review of research into automation in tourism and hospitality. Annals of Tourism Research, 81, 102883.</mixed-citation></ref><ref id="ref-68"><mixed-citation>Van Wynsberghe, A. (2021). Sustainable AI: AI for sustainability and the sustainability of AI. AI and Ethics, 1(3), 213-218.</mixed-citation></ref><ref id="ref-69"><mixed-citation>Voigt, P., &amp; Von dem Bussche, A. (2017). The EU General Data Protection Regulation (Gdpr). A Practical Guide, 1st ed., Cham: Springer International Publishing, 10(3152676), 10-5555.</mixed-citation></ref><ref id="ref-70"><mixed-citation>Wang, Q., Li, Y., &amp; Li, R. (2024). Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI). Humanities and Social Sciences Communications, 11(1), 1-18.</mixed-citation></ref><ref id="ref-71"><mixed-citation>Whittemore, R., &amp; Knafl, K. (2005). The integrative review: updated methodology. Journal of Advanced Nursing, 52(5), 546-553.</mixed-citation></ref><ref id="ref-72"><mixed-citation>Zientara, P., Bohdanowicz-Godfrey, P., Whitely, C., &amp; Maciejewski, G. (2020). A case study of LightStay (2010–2017)—Hilton’s corporate responsibility management system. Energies, 13(9), 2303.</mixed-citation></ref><ref id="ref-73"><mixed-citation>Zhang, B., Pu, Y., Wang, Y., &amp; Li, J. (2019). Forecasting hotel accommodation demand based on LSTM model incorporating internet search index. Sustainability, 11(17), 4708.</mixed-citation></ref><ref id="ref-74"><mixed-citation>Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs, New York.</mixed-citation></ref></ref-list></back></article>