Elaborating on subjectivities has been a crucial asset for semiotic theory since its inception, influencing our interpretation of the relationship between the Same and the Other (Descombes, 1979). This relationship lies at the core of the dynamics of impersonal enunciation and the material ontology underlying meaning production and semiosis itself. Today, an understanding of the realm of meaning requires a reconsideration of the semantic segmentation of the notion of subject, along with the predicates traditionally associated with it: being, doing, speaking, thinking, and meaning-making (Volli, 2021; Leone et al., 2013).Eco's interpretative semiotics has provided our epistemic stance with the idea of the material basis of semiosis (Eco, 1997). Furthermore, the impersonality of enunciation opens up to the agency of the world surrounding the subject (Paolucci, 2020). What is occurring at this juncture where cognitive faculties traditionally considered uniquely human are delegated to intelligent machines?This abstract introduces a segment of research aimed at mapping subject positions within machinic enunciation dynamics, with a specific focus on algorithms and AI systems. Drawing from various theoretical frameworks ranging from postcolonial studies (Spivak, 1988) to postmodern literary criticism (Hayles, 2019), from posthumanist applied linguistics (Demuro et al., 2023) to biosemiotics, this mapping endeavor traces historical shifts in who or what has been designated as the subject and how these shifts manifest within the enunciation scene. Finally, a productive intermingling may arise by intersecting semiotic fields with queer reflections on AI (Klipphahn-Karge et al., 2024).