In this paper, the authors argue for an ontological shift in how we think about AI in organizations. Rather than treating AI as a standalone entity, the paper frames AI as an organizing capability that emerges from relations between human and algorithmic actors. It highlights three core properties of that capability (connectivity, codependence, and emergence), and discusses implications for human–algorithm collaboration, algorithmic management, and organizational intelligence.
Why this matters: reframing AI this way helps researchers and practitioners see how intelligence in organizations is co-produced (and how it can be steered or constrained) by the mix of humans, algorithms, and their relations.
Authors & affiliations:
- Marta Stelmaszak Rosa (Isenberg School of Management, UMass Amherst)
- Mayur Joshi (Telfer School of Management at the University of Ottawa)
- Ioanna Constantiou (Copenhagen Business School).
