AI in Increasing Adaptive Sustainability of Economic Systems

Abstract

The implementation of artificial intelligence in various sectors, particularly the economy, has become a popular global trend. Every country seeks to make its economic system more resilient in the face of potential crises. Artificial intelligence significantly influences the development of the economy due to its wide application for analyzing big data, optimizing industrial production, managing risks, and ensuring overall automation of economic processes. The authors suppose that such applications of artificial intelligence are of great importance for enhancing adaptive sustainability in economic systems, which enables them to adequately and effectively respond to changing environments and global crises. By utilizing a synergetic approach within the evolutionary research paradigm, the research examines how economic systems develop mechanisms to adapt to external challenges. This methodological framework allows the authors to conduct a comprehensive analysis of the intricate relationships within economic systems, considering their nonlinear and unpredictable nature. Through a case study of a regional economic system, the analysis reveals the practical implications of artificial intelligence in fostering adaptive sustainability. Overall, this research contributes to a deeper understanding of how artificial intelligence can bolster the resilience and long-term stability of economic systems in the face of dynamic global conditions.