Journal of Management Studies· 2026Q1
The Acceleration of Artificial Intelligence: Rethinking Organization and Work in an Era of Rapid Technological Change
- 71citations
- Q1SCImago
- 2026year
Short summary
Different AI types (predictive, generative, agentic, embodied) produce distinct organizational outcomes, necessitating precise specification beyond a singular 'AI' construct for cumulative theorizing.
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Key points
- Existing research often treats AI as a single construct, failing to account for diverse system logics and outcomes.
- Predictive, generative, agentic, and embodied AI systems have distinct impacts on organizational foundations.
- Precise specification of AI types is crucial for cumulative theorizing in management and organization studies.
- AI reshapes core organizational constructs including expertise, judgment, coordination, and authority.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Artificial intelligence (AI) is transforming the epistemic, interactional, and institutional foundations of contemporary organizations, yet management and organization studies are only beginning to theorise the implications of this shift. Existing research often treats “AI” as a singular construct, despite the fact that predictive, generative, agentic, and embodied systems rely on different logics and produce distinct organizational outcomes. This article interrogates the limits of this conceptual flattening and argues that cumulative theorising requires more precise specification of the technological systems under study. Drawing on developments across the field, we demonstrate how different modes of AI reshape core organizational constructs, including expertise, judgement, coordination, authority, and institutional adaptation. We advance a heuristic framework that differentiates among contemporary AI systems and clarifies their distinct affordances. The article concludes by outlining a research agenda that focusses on the shifting loci of agency, new decision architectures, and the normative and institutional challenges introduced by increasingly powerful AI systems.
The authors' abstract, as published at the source. Journal of Management Studies, 2026 · DOI ↗
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