Algorithmic Storytelling and the Posthuman Condition: A Transhumanist Reading of AI-Generated Narrative

Abstract

This paper re-examines the relationship between transhumanism and algorithmic storytelling by closely analysing an AI-generated novel rather than broadly surveying technological developments. While earlier discussions often remain abstract, this study focuses on how transhumanist concepts particularly human enhancement, distributed cognition and posthuman identity are materially expressed within AI-generated narrative structures. Drawing on computational literary criticism, especially distant reading models, this paper argues that algorithmic storytelling does not merely replicate human narrative patterns but reorganizes them through probabilistic logic. Recent studies on AI authorship suggest that the boundaries between human and machine authorship are increasingly unstable and socially negotiated. Through selected excerpts from an AI-generated novel, the study identifies stylistic features such as recursive phrasing, semantic drift and non-linear coherence, which reflect a form of machine-mediated cognition. By situating these findings within recent debates on AI creativity and literary production, the paper suggests that AI-generated literature should be understood not as imitation, but as an emergent transhuman narrative form that expands, though unevenly, the boundaries of literary production.