International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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India | Business Management | Volume 14 Issue 12, December 2025 | Pages: 897 - 900


Empathic Intelligence (EI) and the AI Lifecycle Loop: The Future of Organizational Ways of Working

Anand Rathore

Abstract: "Where machines evolve to think, humans must evolve to feel together". As organizations transition into the era of Artificial Intelligence (AI), leaders are facing a new paradox, how to embrace automation and AI-driven acceleration without compromising the human core of their teams. Artificial Intelligence has entered the organizational bloodstream accelerating productivity, shortening delivery cycles, and creating waves of transformation. But with this speed comes fear: fear of redundancy, displacement, and dehumanization. The true leadership challenge of our time is not to control AI, but to humanize it. As Program and Project Manager of various projects, I practiced Empathic Leadership a philosophy that places people before processes and emotions before execution. This approach not only nourished the teams but transformed them into a self-motivated, high-performing unit capable of delivering multiple successful projects over 16 years, even under challenging circumstances. Building on this foundation, I propose a new organizational framework called "AI Ways of Working (AIWoW)" a model that blends empathy with intelligence, automation with awareness, and speed with sustainability.

Keywords: Empathic Intelligence, AI Ways of Working, AI Lifecycle Loop, Empathic Leadership, Human-AI Collaboration, Responsible AI, Theory of AI Adoptability, Theory of AI Control, Human-Centric AI, Organizational Consciousness

How to Cite?: Anand Rathore, "Empathic Intelligence (EI) and the AI Lifecycle Loop: The Future of Organizational Ways of Working", Volume 14 Issue 12, December 2025, International Journal of Science and Research (IJSR), Pages: 897-900, https://www.ijsr.net/getabstract.php?paperid=SR251211182049, DOI: https://dx.doi.org/10.21275/SR251211182049


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