INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Artificial Intelligence in Tourism: Opportunities and Challenges Seen  
by Travelers  
Anfitri Sihombing1, Idrus Jamalulel1, Li-wei Liu2* and Pahrudin Pahrudin2,3  
1Department of Business Administration, College of Management, Chaoyang University of Technology,  
Taichung, Taiwan;  
2Department of Leisure Service Management, College of Management Chaoyang University of  
Technology, Taichung, Taiwan;  
3Faculty of Social Sciences and Economics Universitas Hamzanwadi;  
Received: 10 December 2025; Accepted: 17 December 2025; Published: 30 December 2025  
ABSTRACT  
Integrating artificial intelligence (AI) into tourism becomes increasingly impactful for consumer behavior. We  
investigated the impact of AI on the tourism industry and the opportunities and challenges for travelers and  
service providers. Using a qualitative method, a structured questionnaire was created to explore the perceptions  
of travelers and industry stakeholders regarding AI integration. Data were collected through in-depth interviews  
with participants who had engaged with AI-enhanced services in tourism. The results revealed how AI  
technologies have reshaped travel experiences, service efficiency, and customer satisfaction. The results  
contribute to the understanding of AI's role in the tourism industry and provide a foundation for future research  
on effective strategies for AI implementation in tourism.  
KeywordsTravelers; Artificial Intelligence; Opportunities; Challenge; Tourism  
INTRODUCTION  
Artificial intelligence (AI)is widely used in today's society, serving as the backbone and influencing daily  
routines and interactions. AI offers vast opportunities for the tourism industry. The tourism industry is  
transforming with the integration of AI. Advancements in AI facilitate the tourism industry’s development into  
a smart system. In the hospitality and tourism industry, the Internet of Things (IoT), big data, and cloud  
computing [1,2] serve as essential technologies for data collection and analysis. By adopting such AI tools,  
environmental, social, and governance (ESG) goals can be achieved in a sustainable technology framework [3].  
These technologies also allow companies to track and manage their resource consumption, energy use, and  
emissions, aligning their operational goals with sustainability objectives [3]. Moreover, virtual reality (VR) and  
augmented reality (AR) allow travelers to explore destinations before they arrive effectively [1,2].  
AI technologies are easy for travelers to use. Travelers gather information, share, and recommend on social  
media using AI [4]. Social media and AI tools such as ChatGPT [5] and Chatbot provide recommendations for  
travelers for their needs. Travelers gain information to plan itinerary and budget [6].  
ChatGPT and Chatbot are integrated with travel websites to provide real-time data and personalized information  
and suggestions for transportation, activities, restaurants, hotels, and attractions [5].  
However, the overreliance of travelers on AI tools is a challenge due to privacy, data security, and ethical issues  
associated with AI utilization [7]. Negative impacts such as incorrect information are also observed when  
searching for travel information. Incorrect recommendations and travel information mislead reviews on  
accommodations and attractions which erodes trust in the AI system. When travelers encounter incorrect  
information, they doubt reliability, making them less use AI tools in the future. Trustworthiness is critical in  
Page 300  
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
users’ acceptance of AI tools, especially in the travel industry where accurate and up-to-date information is  
essential.  
In this study, we researched how to integrate AI into the tourism industry by assessing travelers’ trust in AI tools  
and identifying the opportunities and challenges of using AI in the tourism industry. The results provide a basis  
to enhance the profits of the hospitality and tourism industries through the introduction of AI.  
LITERATURE REVIEW  
AI in Tourism industry  
AI has significantly impacted the tourism industry, enhancing customer experiences, streamlining operations  
and enabling business growth. AI is used to analyze customer preferences and suggest personalized destinations,  
accommodations, and activities. Virtual assistants or Chatbots offer round-the-clock assistance, answering  
queries and providing tailored advice on travel itineraries. AI-based recommendation systems analyze user  
preferences, browsing history, and previous bookings to provide personalized travel suggestions. The  
recommendation systems improve customer satisfaction by tailoring options to their interests. For instance,  
TripAdvisor and Expedia utilize machine learning to enhance customer engagement through relevant  
suggestions [8].  
AI-powered Chatbots provide instant support on travel websites and apps, assisting with bookings and  
cancellations and answering frequently asked questions. AI enables customer service in multiple languages,  
broadening accessibility and enhancing the global customer experience. AI-powered customer support systems  
offer accessibility for non-native speakers and improve customer satisfaction across diverse regions [9].  
Moreover, AI in tourism enables companies to adapt to new trends and customer needs effectively, boosting  
competitiveness and satisfaction across the industry.  
AI for Travelers  
AI is used to analyze preferences, past trips, and social media activity to recommend destinations, activities, and  
accommodations that fit travelers’ needs. Platforms such as Expedia and TripAdvisor use AI to provide  
customized recommendations and reduce the time spent on planning. Google Travel suggests optimal itineraries  
based on the user’s schedule, highlighting popular attractions, restaurants, and activities. AI-based itinerary  
planning reduces travel planning time [10]. Such AI tools adjust itineraries based on real-time factors including  
weather and local events. AI Chatbots provides real-time responses to questions for flight status updates, check-  
in procedures, and local tips. AI-powered translation tools such as Google Translate or Pock talk help travelers  
overcome language barriers. Multilingual AI improves customer support quality and increases accessibility for  
international travelers [11]. These tools enable smooth communication with locals and even translate signs, and  
menus using cameras [12].  
Apps such as Google Maps use AI to recommend the best routes, factoring in traffic, local transportation options,  
and real-time conditions. AI-based apps suggest safer routes or notify travelers about areas with higher crime  
rates, enhancing their sense of security in unfamiliar environments. Augmented reality (AR) and AI-powered  
mapping tools assist travelers in navigating unfamiliar cities. AI-driven navigation significantly enhances tourist  
satisfaction by providing reliable, up-to-date information [13]. Apps such as Skyscanner show flights with lower  
carbon emissions, catering to eco-conscious travelers. Skyscanner recommends eco-friendly accommodations  
and transport options, too. Travelers who receive eco-conscious suggestions make sustainable choices for eco-  
friendly options [14]. Such functions of AI tools empower travelers by making journeys smoother, more  
sustainable, and tailored to individual preferences, elevating the travel experience while reducing costs and  
planning time. Travelers use AI tools for traveling due to their affordability, real-time convenience, and seamless  
language translation services (Figure 1).  
Page 301  
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Fig. 1. Function of AI  
Challenges of Travelers  
Despite such benefits, AI presents challenges for travelers including data privacy and limited accessibility. AI-  
based travel platforms collect a substantial amount of personal data, including travel habits, payment  
information, and even biometric data (e.g., facial recognition at airports). While this improves service  
personalization, it raises privacy concerns. Travelers are increasingly worried about how their data is stored,  
shared, and potentially misused, especially with facial recognition in airports and hotels. Travelers are more  
likely to use AI tools if they have options to control and understand data usage, yet this transparency is often  
lacking [15].  
Many AI-driven apps and tools require a stable internet connection, which is challenging in remote or developing  
regions. Without reliable connectivity, travelers might be unable to access maps, translation tools, or chat  
support, potentially leaving them in challenging situations. Connectivity issues are frustrating barriers for  
travelers relying on AI tools for directions or local information in remote areas [16]. For international travelers,  
the need for connectivity requires high data roaming charges, making several AI tools costly. While dynamic  
pricing helps travelers find deals, it causes unpredictable price increases. AI algorithms adjust prices based on  
demand, leading to unfair pricing during peak seasons or last-minute searches [17]. Furthermore, reliance on AI  
reduces direct interaction with residents, limiting cultural immersion and authentic experiences.  
Fig. 2. Challenges of AI tools reported by travelers  
METHODS  
In this study, a qualitative research approach was employed to gain an in-depth understanding of travelers’  
experiences and behaviors when using AI tools during their travel planning and decision-making processes.  
Open-ended questions were asked [18] to understand the processes and patterns of traveler behavior [19]. Semi-  
structured interviews are widely used in qualitative research with individuals or groups [20]. The participants  
were selected randomly to obtain credible information [21]. The agreement was obtained from 73 participants  
from various countries. This relatively large and diverse qualitative sample strengthened the robustness of the  
Page 302  
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
data and increased the likelihood of identifying recurring themes and patterns across different traveler segments.  
A. Discussion  
After the interview, the experiences and perceptions of the participants were coded and compiled using AI tools.  
Table 1 presents an overview of the participants’ demographic.  
Table 1. Participants demographic.  
Demographic variable  
Gender  
Category  
Frequency  
Female  
59  
14  
69  
4
Male  
Yes  
Travel Experience (Using AI Tools)  
Age  
No  
Under 20 years old  
20-24 years old  
25-30 years old  
Above 30 years old  
Taiwan  
9
30  
24  
10  
17  
29  
5
Country  
Indonesia  
Vietnam  
Malaysia  
Other  
3
19  
11  
62  
Married  
Marital Status  
Single  
Testimonies from the participants were as follows.  
“AI tools are available and excellent offering immediate support for my queries related to bookings, itineraries,  
or travel tips. AI tools also can compare prices for flights, hotels, and activities in real-time, helping me when I  
want to travel to find the best deals and manage budgets more effectively.”  
[Taiwanese, Interview, 26 Augustus 2024]  
AI tools were available or retrievable easily and helpful. Many AI applications embedded in familiar digital  
environments such as booking platforms. Moreover, travelers found that AI tools and Chatbots provided quick  
responses, effective interaction, engagement, and an enjoyable experience [22]. AI tools making travelers easily  
discoverable and immediately usable.  
AI tools offer new experiences as a traveler by providing convenience, personalization, and efficiency.”  
[Indonesian, Interview, 29 July 2024]  
Page 303  
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Travelers felt comfortable using AI tools. Travelers understood how to effectively interact with the AI tools and  
controlled AI tools [23]. Furthermore, travelers searched for information to book a hotel room via Chatbot [23].  
Travelers’ comfort, understanding, and perceived control over AI tools contribute to a positive user experience,  
which in turn encourages the use of AI-driven chatbots for information search and hotel booking. These factors  
collectively strengthen travelers’ acceptance of AI technologies and support their integration into contemporary  
tourism and hospitality services.  
“When I went traveler to the destination with the poor connectivity AI tools luck of function, so I need to interact  
with local which is suitable since AI tools cannot replace the empathy and nuanced understanding that a human  
travel agent or local guide can offer.  
[Turkey, Interview, 26 July 2024]  
Several travelers faced challenges accessing AI tools due to poor internet connectivity, a lack of technical skills,  
or language barriers. AI tools are not always accurate and potentially cause real-world harm [24].  
CONCLUSION  
AI is significantly transforming the tourism industry by enhancing customer experiences, streamlining  
operations, and promoting sustainability through personalized, data-driven tools and services. AI technologies,  
such as Chatbots, recommendation systems, and AR/VR applications, offer travelers convenience, efficiency,  
and tailored solutions, making their journeys seamless and enjoyable. However, challenges such as data privacy  
concerns, system inaccuracies, biases in recommendations, overreliance, and limited accessibility in remote  
areas pose barriers to its widespread acceptance. These findings emphasize the importance of ethical AI  
integration, transparency in data usage, and user education to enhance trust and reliability in AI applications.  
This study's limitations lie in its qualitative method, which, while rich in detail, limits generalizability. The  
sample size of 73, though diverse, might not fully represent global traveler’s demographics or experiences.  
Additionally, we did not address how differences in technological infrastructure or cultural contexts might  
influence perceptions of AI tools in tourism. Future research is necessary to expand the sample size and focus  
on quantitative analyses to validate the results of this study across diverse demographics. It is also necessary to  
investigate strategies for improving the accuracy of AI systems, address biases, and enhance accessibility in  
underdeveloped regions. Exploring how AI adoption differs across cultures and traveler types also can provide  
information on the global implementation of AI tools. Frameworks for ethical AI use are needed to balance  
innovation with fairness, privacy, and sustainability in the tourism industry.  
REFERENCES  
1. Ivanov, S.; Webster, C., Eds. Robots, Artificial Intelligence, and Service Automation in Travel, Tourism  
and Hospitality; Emerald Publishing Limited: Bingley, UK, 2019.  
2. Chi, O.H.; Denton, G.; Gursoy, D. Artificially intelligent device use in service delivery: A systematic  
review, synthesis, and research agenda.  
J. Hosp. Mark. Manag. 2020, 29, 757786.  
3. Vergragt, P.J. How technology could contribute to a sustainable world. GTI Paper Ser. 2006, 28.  
4. Meehan, K.; Lunney, T.; Curran, K.; McCaughey, A. Aggregating social media data with temporal and  
environmental context for recommendation in a mobile tour guide system. J. Hosp. Tour. Technol. 2016,  
5. Carvalho, I.; Ivanov, S. ChatGPT for tourism: Applications, benefits, and risks. Tour. Rev. 2024, 79,  
6. Sorrells, M. What will ChatGPT mean for the travel industry. Travel Weekly, 2023. Available online:  
travelindustry (accessed on 6 February 2023).  
7. Gerke, S.; Minssen, T.; Cohen, G. Ethical and legal challenges of artificial intelligence-driven healthcare.  
In Artificial Intelligence in Healthcare; Academic Press: London, UK, 2020; pp. 295336.  
Page 304  
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
8. Yang, X.; Zhang, L.; Feng, Z. Personalized Tourism Recommendations and the E-Tourism User  
Experience. J. Travel Res. 2024, 63, 11831200. https://doi.org/10.1177/00472875231187332.  
9. Bulchand-Gidumal, J.; Secin, E.W.; O’Connor, P.; Buhalis, D. Artificial intelligence’s impact on  
hospitality and tourism marketing: Exploring key themes and addressing challenges. Curr. Issues Tour.  
10. Ivanov, S.; Webster, C. Conceptual framework of the use of robots, artificial intelligence, and service  
automation in travel, tourism, and hospitality companies. Tour. Rev. 2019, 75, 219234.  
11. Yuxiu, Y. Application of Translation Technology Based on AI in Translation Teaching. Smart Agric.  
12. Sathiya Priya, S.; Manivannan, D.; Gayathri, R.; Manikandann, K.; Kujani, T.; Bharathi, S. Cross-  
Language Connect: A Chat App for Smooth Multilingual Communication. In Proceedings of the 2024  
International Conference on Intelligent Computing and Innovations (ICOICI), August 2024; pp. 159–  
13. Ma, S. Enhancing Tourists’ Satisfaction: Leveraging Artificial Intelligence in the Tourism industry. Pac.  
14. Jana, A.; Shandilya, G.; Srivastava, P. Eco-conscious luxury: Decoding the preferences of affluent  
travelers in sustainable hospitality. J. Hosp. Tour. Insights 2024. https://doi.org/10.1108/jhti-04-2024-  
15. Kim, J.; Kim, J.; Kim, S.; Hailu, T.B. Effects of AI ChatGPT on Travelers’ Travel Decision-Making.  
16. Dickinson, J.E.; Ghali, K.; Cherrett, T.; Speed, C.; Davies, N.; Norgate, S. Tourism and the smartphone  
app: Capabilities, emerging practice, and scope in the travel domain. Curr. Issues Tour. 2012, 17, 84–  
17. Henderson, J.C. Tourism Crises: Causes, Consequences and Management; Butterworth-Heinemann:  
Amsterdam, The Netherlands, 2007.  
18. Cleland, J.A. The Qualitative Orientation in Medical Education Research. Korean J. Med. Educ. 2017,  
19. Foley, G.; Timonen, V. Using Grounded Theory Method to Capture and Analyze Health Care  
Experiences. Health Serv. Res. 2015, 50, 11951210. https://doi.org/10.1111/1475-6773.12275.  
20. DiCicco-Bloom, B.; Crabtree, B.F. The Qualitative Research Interview. Med. Educ. 2006, 40, 314321.  
21. Creswell, J.W.; Poth, C.N. Qualitative Inquiry and Research Design: Choosing Among Five Approaches,  
4th ed.; Sage Publications: Thousand Oaks, CA, USA, 2016.  
22. Alotaibi, R.; Ali, A.; Alharthi, H.; Almehamdi, R. AI Chatbot for Tourist Recommendations: A Case  
Study in the City of Jeddah, Saudi Arabia. Proc. 2020 Conf. 2020, https://doi.org/[link-unavailable].  
23. Kim, J.H.; Kim, J.; Kim, S.; Hailu, T.B. Effects of AI ChatGPT on Travelers’ Travel Decision-Making.  
Tour. Rev. 2024, 79, 10381057. https://doi.org/10.1108/TR-07-2023-0489.  
24. Nica, I.; Tazl, O.A.; Wotawa, F. Chatbot-Based Tourist Recommendations Using Model-Based  
Reasoning. In Proceedings of ConfWS 2018; September 2018; 2530.  
Page 305