Akademik Veri Yönetim Sistemi
Conference: XVII Workshop Tourism: Economic and Management, Siena, İtalya, 25 - 28 Kasım 2025, ss.1-15, (Tam Metin Bildiri)
Artificial intelligence (AI) is reshaping tourism not merely through digital applications or process automation, but as a catalyst for deeper structural and organizational transformation. Its influence extends beyond efficiency gains to alter how value is generated, how work is organized, and how competitiveness is built across tourism-related activities. This chapter brings together conceptual insights and empirical analysis to explore whether the uptake of AI in tourism mirrors the technological gaps commonly found between sectors. Relying on the Eurostat–OECD industry classification, economic activities are categorized by technological and skill intensity, and differences in the adoption of both mature and advanced technologies are evaluated using analysis of variance (ANOVA). The findings point to a persistent digital and structural divide between tourism and more technology-intensive industries, indicating that the constraints on AI adoption are driven less by technical feasibility than by organizational and systemic conditions. By linking theory with quantitative evidence, the chapter provides a nuanced perspective on AI as both a source of transformation and a structural bottleneck for tourism, with important implications for sectoral competitiveness, public policy, and workforce adjustment.