The Evolution of Tourism in the Age of Artificial Intelligence: A Comparative Analysis of Pre- and Post-AI Tourism Trends

Purpose of the Study: This study aims to analyze the impact of artificial intelligence (AI) on the travel industry, focusing on the sustainability and ethics of various tourism models. It evaluates the viability of tourism types before and after AI implementation while examining how AI technologies shape consumer preferences, industry practices, destination management, and tourism product design.

Methodology: Employing a qualitative research design, the study systematically compares multiple datasets through secondary qualitative data analysis. A deductive approach is used to interpret this data, supported by a comprehensive review of scholarly literature, industry reports, and empirical findings.

Main Findings: The results provide valuable insights for policymakers, industry practitioners, and stakeholders regarding the strategic implications of AI in tourism development. The study establishes a framework to assess the suitability of different tourism models within an AI-driven context, facilitating informed decisions about sustainable tourism practices.

Applications of the Study: This research encourages legislators, industry experts, and consumers to understand AI's strategic influence on tourism design and development. It also outlines an agenda for evaluating tourism models in an AI-centric environment, promoting responsible and sustainable tourism development.

Novelty/Originality of the Study: This study uniquely explores the intersection of cognitive psychology and AI, highlighting their parallel evolution and impact on contemporary tourism practices, ultimately enhancing service delivery to clients.