Analýza využití nástrojů postavených na generativní umělé inteligenci zástupci generace Z

Tools based on generative artificial intelligence have quickly become a common part of the digital environment and have begun to influence the ways in which users work with information, study, create content, solve work-related tasks, and organize everyday activities. Their use is especially relevant in the context of Generation Z, which has grown up in an environment shaped by the internet, digital technologies, and constant access to information. This thesis examines the use of tools based on generative artificial intelligence by members of Generation Z in educational, work-related, and personal contexts. The goal of this thesis is to identify which tools are used within this generation and for what purposes. To achieve the main goal and partial objectives, the thesis uses the methods of literature review, questionnaire survey, and comparison with findings from academic publications. The practical part includes the testing of five hypotheses using statistical methods, specifically Spearman’s correlation coefficient and the Mann-Whitney U test, as well as answering the research questions. The results suggest that, among Generation Z, the perceived ease of use of these tools is associated with higher trust in their outputs. However, the expected relationships or differences were not confirmed for frequency of use, declared knowledge of LLM principles, age within Generation Z, or the use of tools for social support in relation to information verification, perceived intelligence, or leisure-time use. The results also show that tools based on generative artificial intelligence are widely used among respondents and that Generation Z’s relationship with them is predominantly practical, efficiency-oriented, and focused on immediate usefulness. At the same time, the findings indicate that the use of these tools should be accompanied by critical engagement with outputs, information verification, and awareness of their limitations.