Dhirubhai Ambani Institute of Information and Communication Technology, India.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 212–219
Article DOI: 10.30574/wjaets.2025.15.3.0893
Received on 21 April 2025; revised on 29 May 2025; accepted on 01 June 2025
This article examines the transformative impact of Generative AI (GenAI) on organizational structures and operational paradigms across industries. As AI capabilities advance at an unprecedented rate, forward-thinking leaders must develop strategic frameworks to integrate these technologies effectively. The article explores the accelerated evolution of AI from basic pattern recognition to sophisticated systems capable of solving complex problems, and its omnipresence across diverse sectors including transportation, consumer technology, energy, manufacturing, and logistics. It identifies prime opportunities for AI integration within technical and non-technical domains, revealing how highly skilled professionals often spend substantial time on repetitive tasks that could be automated. The research outlines a new operational paradigm where human expertise is channeled into strategic activities while AI handles routine cognitive tasks, creating powerful synergies when properly structured. The article concludes with a comprehensive seven-step implementation framework for organizations seeking to become AI-powered entities, emphasizing the importance of workflow audits, strategic opportunity identification, robust infrastructure, governance frameworks, organizational AI literacy, impact measurement, and continuous iteration. This approach creates a sustainable foundation for leveraging both human and artificial intelligence in complementary ways.
Generative AI; Organizational Transformation; Human-AI Collaboration; Strategic Implementation; Workflow Optimization
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Gautam Tripathi. Building artificially intelligent organizations in the GenAI Era. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 212–219. Article DOI: https://doi.org/10.30574/wjaets.2025.15.3.0893.