A Typology of Human–AI Value Cocreation

While automation replaces human labour in structured and repetitive tasks, augmentation enhances human capabilities through artificial intelligence (AI) collaboration. This article develops a typology of human–AI value cocreation, distinguishing between automation and augmentation capabilities across varying levels of task complexity. The proposed framework is structured along two dimensions: mode of technology engagement (automation vs augmentation) and complexity of task-in-context. The four resulting models of value creation are analyzed in terms of their temporal, spatial and hierarchical complexity, which shapes human–AI interaction in performing a given task. Temporal complexity relates to sequencing, timing and feedback loops; spatial complexity refers to physical environments and the integration of dispersed resources; and hierarchical complexity captures interdependence and interaction across micro- and macro-level structures. By introducing this structured analytical lens, the article contributes to a more holistic understanding of AI-enabled value creation. The findings may also inform a research agenda for future inquiry.