A Typology of Human–AI Value Cocreation
Petter Braathen & Rolf Findsrud
What the paper says
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.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.