STRATEGIC INTEGRATION OF ARTIFICIAL INTELLIGENCE IN EMERGING MARKET ENTERPRISES: OPPORTUNITIES, CHALLENGES, AND RISK MANAGEMENT PERSPECTIVES

The rapid evolution of Artificial Intelligence (AI) presents transformative opportunities for enterprises operating in emerging markets where technological adoption often intersects with unique economic, infrastructural, and regulatory contexts. This study explores the strategic integration of AI in emerging market enterprises by examining its potential to drive operational efficiency, innovation, and competitive advantage, while also highlighting the critical challenges and risks that may hinder sustainable adoption. Opportunities for growth include automation of repetitive processes, data-driven decision-making, customer personalization, and expansion into digital ecosystems that enhance global competitiveness. However, enterprises face multifaceted challenges such as limited digital infrastructure, inadequate technical expertise, high implementation costs, and evolving regulatory landscapes that complicate compliance and governance. In addition, risks associated with AI integration such as data privacy breaches, algorithmic biases, cybersecurity vulnerabilities, and potential workforce displacement necessitate proactive management strategies. The study emphasizes the importance of risk management perspectives, with particular attention to governance frameworks, ethical AI practices, talent development, and cross-sector collaborations to balance innovation with responsibility. By adopting a strategic and context-specific approach, emerging market enterprises can harness AI’s benefits while building resilience against its inherent uncertainties. The findings contribute to ongoing discourse on AI adoption in resource constrained environments and provide practical insights for policymakers, business leaders, and researchers seeking to align technological advancement with sustainable enterprise growth.