AI-DRIVEN TRANSFORMATION OF IT IN MANAGEMENT AND ENTREPRENEURSHIP

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of Information Technology (IT), exerting profound influence on modern management and entrepreneurial practices. This study investigates emerging trends in AI integration and examines how AI-driven tools—such as machine learning, predictive analytics, and automation—are reshaping strategic decision-making, operational processes, and innovation across sectors. Drawing on recent scholarly literature and case-based evidence, the paper highlights AI’s capacity to enhance business agility, improve data-driven decisions, and foster new business models. While AI is increasingly recognized as a strategic enabler, critical gaps remain in the existing research. These include the lack of integrated frameworks addressing both management and entrepreneurship, insufficient exploration of AI’s sector-specific and regional impacts, and limited attention to its long-term implications for organizational sustainability and workforce transformation. Furthermore, disparities in AI adoption—particularly between urban and rural contexts and across developed and developing economies—underscore the need for targeted infrastructure, policy interventions, and inclusive strategies. The study concludes that maximizing AI’s transformative potential requires a context-sensitive, ethically grounded approach that supports innovation while addressing systemic challenges. By bridging current knowledge gaps, this research contributes to a deeper understanding of AI’s evolving role in shaping IT-enabled transformation in management and entrepreneurship, offering insights for practitioners, scholars, and policymakers navigating an increasingly AI-driven digital economy.