Autobiography has long been considered an essential tool for reflecting on personal identity, widely employed in literary, therapeutic, and educational contexts. In this study, through a qualitative analysis conducted on a corpus of autobiographical texts following the principles of Grounded Theory, central themes emerge that underscore how one’s proper name holds significance in autobiographical terms and how the relationship with it develops and transforms over the course of a lifetime. Although autobiography has historically been associated with human experience, this article examines the potential role of Artificial Intelligence in this process and, through a comparative and reflective analysis, investigates what emerges from the comparison between traditional autobiographical dimensions and those observable in an artificial autobiography generated by Chat GPT. This experiment challenges the conventional conception of self-narration, exploring how profoundly human concepts, such as identity and the significance of one's name, manifest in a non-human context. The article illustrates how AI can be integrated into qualitative research methodologies, opening new possibilities for autobiography itself and enriching the understanding of human-machine interaction in the digital age.