in: Transforming Education with Singularity Technologies: Lifelong Learning from Childhood to Adulthood, CRC Press, pp.23-37, 2026
This chapter examines technological singularity from a communication studies perspective, focusing on the transformation of core concepts such as meaning, representation, and subjectivity. The rise of Generative Artificial Intelligence (GAI) exposes the limitations of human-centered communication models, as these systems actively generate content, shape interaction, and participate in contextualization. Consequently, the classical sender–receiver model no longer provides sufficient explanatory power. Meaning is no longer transmitted in fixed forms between individuals but is dynamically reproduced within algorithmic structures. Communication processes increasingly rely on context-sensitive and variable configurations, while subjectivity shifts from individual agents toward systemic formations. This chapter traces the transition from semantic to post-semantic communication and discusses its theoretical implications for the field. GAI systems are conceptualized not merely as technical tools but also as structures that produce communicative subjectivity with ethical, ontological, and epistemological dimensions. In conclusion, technological singularity is framed not only as a future scenario but also as an active threshold reshaping communication studies and requiring a reconfiguration of its conceptual foundations.