Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/334890 
Year of Publication: 
2026
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 36 [Issue:] 1 [Article No.:] 5 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2026
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Recent advancements in artificial intelligence (AI) have catalyzed the emergence of agentic information systems (IS), which exhibit autonomous behavior and advanced cognitive capabilities. Unlike traditional IS, which functioned primarily as reactive tools supporting humans, agentic IS can make decisions independently, act in unstructured environments, and even delegate tasks to humans. This paradigm shift fundamentally transforms the human-IS relationship, questioning the long-standing assumption of human agentic primacy in IS research and practice. In this article, we provide a conceptual overview of agentic IS, delineating their defining characteristics and situating them within the broader evolution of IS. We introduce key archetypes of agentic IS, explore novel patterns of delegation and interaction between humans and machines, and discuss the socio-technical implications of these developments. Furthermore, we highlight the challenges and risks associated with integrating agentic IS from an individual, organizational, and societal perspective, emphasizing the need for nuanced understanding to harness the potential while addressing emerging complexities.
Subjects: 
Agentic IS
Human-AI collaboration
Delegation
Agency
JEL: 
M21
O3
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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