This analysis posits that the rapid integration of Artificial Intelligence is precipitating a profound existential crisis for the managerial profession, automating the traditional functions of data processing, logistical coordination, and performance monitoring. This technological shift threatens to render managers obsolete, potentially reducing them to passive overseers of algorithmic decisions or bypassing them entirely. However, rather than signaling an end, this marks a necessary metamorphosis. The text argues for a fundamental reinvention of the role into that of a 'Research-based and Research-oriented Manager'. In this new paradigm, the manager’s primary function is not to perform analytical tasks—a role better suited to AI—but to serve as the supreme arbiter of the information AI generates. Tracing the evolution of management from the master craftsmen of the guild system through the Taylorist command-and-control structures of the Industrial Revolution to the spreadsheet-driven analysis of the computer age, the text demonstrates that the core challenge has shifted from managing scarcity of information to validating its abundance. The reinvented manager must adopt a scientific methodology, using AI to generate hypotheses from vast datasets while applying rigorous human-centric research to validate their accuracy, test their applicability, and critically assess their ethical implications. Crucially, the analysis contends that only a human possesses the nuanced understanding of an organization's 'social fabric'—the unquantifiable elements of trust, morale, and shared norms. The manager's indispensable modern function is to protect this fabric, ensuring that AI-driven efficiencies do not lead to dehumanization, algorithmic bias, or the erosion of long-term organizational health, thereby acting as the essential human firewall between algorithmic potential and sustainable, ethical practice.
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Partha Majumdar
Swiss School of Public Health
Kalinga University
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Partha Majumdar (Sun,) studied this question.
www.synapsesocial.com/papers/6994055d4e9c9e835dfd6396 — DOI: https://doi.org/10.5281/zenodo.18652239