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By predicting the trajectory of emerging technologies and identifying their potential application, tourism enterprises can secure a first-mover advantage in innovation and capitalise on niche market opportunities. However, existing research primarily examines the application and efficacy of mature technologies, whereas limited attention has been devoted to exploring the potential of emerging technologies. To address this gap, this study develops a framework for identifying technology that may disrupt tourism in the future through large language models (LLMs) and machine learning. Results indicate that tourism-related areas including smart destinations, immersive displays, low-altitude aviation, marine tourism, outdoor travel, heritage preservation, and tourism transportation will experience disruptive technological change. Such technological advancements are expected to enable more intelligent, seamless, authentic, and personalised travel experiences. These findings provide insights to inform policy-making in tourism innovation and guide the strategic realignment of corporate research and development (R&D) investment.
Guo et al. (Sat,) studied this question.