The impact of artificial intelligence on production efficiency in the digital economy

Abstract

The rapid integration of artificial intelligence (AI) into production systems has profoundly reshaped the foundations of economic organization and productivity in the digital era. This article examines how AI-driven automation, predictive analytics, intelligent scheduling, and cyber-physical integration influence production efficiency across industries. Drawing on empirical studies, sectoral evidence, and theoretical models, the research demonstrates that AI enhances productivity not merely by replacing routine labor but by reconfiguring value-creation processes, optimizing resource allocation, and reducing system-level inefficiencies. The study also highlights the complexities associated with AI adoption, including capability gaps, algorithmic dependencies, and structural asymmetries between technologically advanced and technologically lagging firms. By synthesizing global and emerging-market experiences, the article contributes to a deeper understanding of AI’s role in shaping sustainable productivity growth within the digital economy.