Financial Resilience through Human-Machine Coevolution: How Autonomous Control Systems Transform Strategic and Financial Decision-Making in Global Supply Chains

In this work, we explore the impact of autonomous control systems on strategic and financial decision-making in global supply chains and propose a new framework for human-machine coevolution. With the advancement of artificial intelligence and automation technologies, supply chain financial management is undergoing unprecedented transformation. Through analyzing how autonomous systems change decision-making processes, financial risk management, and capital allocation strategies, this research reveals a new model of human-machine collaboration. The findings suggest that successful supply chain strategies increasingly depend on effective integration of human financial expertise with machine capabilities, a coevolutionary relationship that is redefining how global business ecosystems operate and create financial value. This study provides both theoretical foundations and practical guidance for understanding and managing this transformation.