Building artificially intelligent organizations in the GenAI Era

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.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-06-06
DOI
https://doi.org/10.30574/wjaets.2025.15.3.0893
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Building artificially intelligent organizations in the GenAI Era

Gautam Tripathi
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
article

Building artificially intelligent organizations in the GenAI Era

Gautam Tripathi
article en

Abstract

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.

World Journal of Advanced Engineering Technology and SciencesVol. 15(3)
Openalex Percentile: Top 78%
Big Data and Business Intelligence
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Building artificially intelligent organizations in the GenAI Era — Gautam Tripathi · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS