Areas of use and generational differences in artificial intelligence

Artificial intelligence (AI) is playing an increasingly important role in social and economic systems, especially in education, research, information processing and digital interactions. The aim of this paper is to investigate the use of AI-based solutions along generational dimensions, with a particular focus on the different usage frequencies and preferences of different age groups. Ten different application domains were analysed, including language learning, research and data collection, health and fitness advice, travel management, information summarisation, homework writing, literature search, translation tasks, role-playing and essay writing. The study used a five-point Likert scale to measure the intensity of AI use, allowing statistical analysis of differences between generations. The results indicate that language learning, research and data collection, and searching for literary sources are the areas where the use of AI solutions is most frequent. In contrast, role-playing and essay writing were found to be less commonly used. Generational differences are clearly visible: while Generation Z is the most intensive user of AI in all the areas studied, Generations X and Y use these technologies mainly for professional and research purposes. Our results show that the prevalence and functional diversity of AI use is closely related to generational characteristics. The study contributes to a deeper understanding of the embeddedness of AI in society and provides support for education policy makers and technology developers to design targeted applications and strategic developments