Using artificial intelligence language models in tourism: communication, personalization, and operational efficiency

Abstract

The article explores embedding artificial intelligence technologies, including an emphasis on language models, into tourism organisations' systems of operation. Analysis determines AI's capacity to enhance communicative processes, automate day-to-day tasks, and enable service tailoring through functions like chatbots, virtual assistants, and automated content generation instruments. Based on present empirical studies, quantitative evidence, and foreign case studies, authors demonstrate that implementation of AI fosters organisational effectiveness improvement, cost reduction, and competitiveness enhancement within the global digital economy. A particular emphasis of the tourism industry of Kazakhstan stands out especially as AI integration is identified as a centrepiece of national innovation and economic development strategy. Moreover, it is revealed that language models prove particularly efficient in overcoming linguistic and cultural boundaries and thus enable context-aware multilingual support and data-based decision-making. Finally, authors affirm that AI usage extends from technological development to an outright strategic necessity of environmentally sustainable development, customer satisfaction improvement, and innovative methods development in contemporary tourism.