Artificial Intelligence as an Organizing Capability Arising from Human-Algorithm Relations

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In this article, we move beyond the prevailing view of artificial intelligence (AI) as an independent entity within organizations, which, we argue, risks obscuring potential explanations of the effects of AI on organizing. Drawing on posthumanism, we propose an ontological shift in conceptualizing AI. We theorize that, instead of residing within algorithmic actors, AI arises from the relations among human and algorithmic actors as an organizing capability. This capability is characterized by connectivity, codependence, and emergence as core properties, and contributes to organizational analysing, learning, and acting in pursuit of organizational goals. The shift from the entity view to the organizing capability view of AI has significant implications for understanding its organizational effects and opens new avenues for research in human-algorithm collaboration, algorithmic management, and organizational intelligence, while counterbalancing tendencies to treat AI as autonomous agents.

Stelmaszak, M., Joshi, M., & Constantiou, I. (2025). Artificial Intelligence as an Organizing Capability Arising from Human‐Algorithm Relations. Journal of Management Studies.

Available open access here.

About the author

Marta Stelmaszak Rosa

I am an Assistant Professor of Information Systems at the Isenberg School of Management, University of Massachusetts Amherst. My research examines digital data and how they shape how organizations work, think, and decide. I publish in leading journals such as MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems, and co-lead Data Studies Bibliography, a global community advancing scholarship on data as a core object of inquiry.

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Marta Stelmaszak Rosa

I am an Assistant Professor of Information Systems at the Isenberg School of Management, University of Massachusetts Amherst. My research examines digital data and how they shape how organizations work, think, and decide. I publish in leading journals such as MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems, and co-lead Data Studies Bibliography, a global community advancing scholarship on data as a core object of inquiry.

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I’d love to exchange ideas about digital data, organizations, and thinking in a data-saturated world. I often share reflections and ongoing questions on LinkedIn and occasional glimpses of my day-to-day work on Instagram. I look forward to continuing the conversation with you there.

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