A Manifesto for Information Systems Research in the Age of AI Hype

Abstract

The rapid advancement of artificial intelligence technologies, especially generative and agentic AI, fundamentally challenges longstanding assumptions in Information Systems Research methodologies. Traditionally, ISR has built upon decision analysis and design science for creating decision support systems, assuming that only human cognitive power matters. However, as AI continues to develop novel cognitive capabilities autonomously, this assumption grows increasingly contestable. This paper proposes a forward-looking ISR methodology framework for the 2030s that integrates three emerging conceptual frameworks: digital coaching, digital fusion, and joint human-AI intelligence. By synthesizing insights from the evolution of ISR methodologies and analyzing the disruptive impact of modern AI, I develop methodological propositions that address the changing nature of human-machine collaboration in research processes. Future ISR methodologies must formally incorporate human-AI role definitions, treat explainability as a core outcome variable, integrate continuous learning mechanisms, draw from multidisciplinary theoretical grounding, and emphasize sociotechnical fitness while maintaining AI's proper role as a powerful tool under human direction.