The application of artificial intelligence (AI) in scientific research is becoming increasingly widespread, offering significant potential to enhance the efficiency of researcher work and improve the quality of research. This study examines the role of artificial intelligence in research, with particular attention to literature search and analysis (Tolner et al., 2023), data processing and evaluation (Bessenyei, 2020), and content generation (Szűts & Námesztovszki, 2023). Employing the method of hermeneutic analysis (Bos & Tarnai, 1999), we explore the opportunities that AI offers in these areas, while also presenting the associated challenges and ethical considerations. Our results demonstrate that AI can lead to significant time savings and increased efficiency, as well as aid in the discovery of complex patterns. However, it is important to consider the limitations of AI, such as the lack of deeper understanding, potential biases, and questions regarding the reliability of generated content. The study concludes that artificial intelligence does not replace the human researcher, but rather functions as a knowledge support tool (Z. Karvalics, 2024), the responsible and ethical application of which is crucial to ensure scientific progress.