Artificial intelligence agents and agentic systems in hospitality and tourism: challenges, opportunities and research agenda
Purpose Artificial intelligence (AI) agents and agentic systems have the potential to transform the tourism and hospitality (T&H) industry by automating existing processes and improving operational efficiency. This viewpoint paper aims to explore and analyze the potential opportunities and challenges, and establish a comprehensive research agenda for developing AI agents and agentic systems within the T&H industry. Design/methodology/approach This article comprehensively analyzes current literature, user sentiment analysis and market trends assessment on AI agents and agentic systems. It identifies critical areas where these technologies can transform the T&H industries, providing valuable insights into this emerging field and its potential for driving innovation and efficiency. Findings Sentiment analysis reveals that 65% of social media users positively view OpenAI’s new AI agent, praising its automation capabilities. Meanwhile, 22% raise concerns about technical flaws, accessibility and ethics, while 13% remain neutral. AI agents offer opportunities to enhance efficiency, personalize services and support sustainability in T&H. However, challenges persist in development and implementation, with concerns from businesses, customers and regulators. This article highlights both the opportunities and challenges AI agents present in T&H industries. Research limitations/implications This paper provides valuable insights for stakeholders in the T&H industry, considering the adoption of AI agents. The authors present an overview of the potential challenges involved in adopting this emerging technology and discuss key organizational barriers. Originality/value This study examines the application of AI agents and agentic systems in T&H, highlighting opportunities and challenges may face during their adoption. The paper contributes original insights into how these systems can reshape industry practices, providing a foundation for future research and practical applications.
Authors
- Ibrahim A. Elgendy (ORCID: https://orcid.org/0000-0001-7154-2307)
- Vincent Dutot (ORCID: https://orcid.org/0000-0002-3758-9387)
- Mousa Ahmad Albashrawi (ORCID: https://orcid.org/0000-0002-6269-1658)
- Mohamed Youssef Ibrahim Helal (ORCID: https://orcid.org/0000-0003-0994-4131)
- Yogesh Kumar Dwivedi (ORCID: https://orcid.org/0000-0002-5547-9990)
- Il Jeon (ORCID: https://orcid.org/0000-0002-4220-8374)
- Laurie Hughes (ORCID: https://orcid.org/0000-0002-0956-0608)
- Mazen Shawosh (ORCID: https://orcid.org/0000-0002-8987-9028)
Institutions
- Edith Cowan University (AU)
- King Fahd University of Petroleum and Minerals (SA)
- Milieux environnementaux, transferts et interactions dans les hydrosystèmes et les sols (FR)
- Institute of Nanotechnology (GB)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- International Journal of Contemporary Hospitality Management
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1108/ijchm-02-2025-0287
- Citations
- 17
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 42.18