Reimagining IT Supply Chain Sustainability: The Role of Green AI, Digital Twins, and Closed-Loop Systems by 2050

The escalating environmental impact of Information Technology (IT) supply chains necessitates a paradigm shift toward sustainable practices. This comprehensive study investigates how Green Artificial Intelligence (AI), Digital Twins (DT), and Closed-Loop Systems (CLS) can revolutionize IT supply chain sustainability by 2050. Through an extensive mixed-methods analysis of 450 global IT companies and 1,200 supply chain stakeholders across six continents, this research examines the complex interplay between technology adoption, sustainability performance, and circular economy principles.The study employs a robust methodological framework combining quantitative analysis with advanced structural equation modeling to test hypotheses regarding the relationships between Green AI implementation, Digital Twin adoption, and Closed-Loop System integration on IT supply chain sustainability. Results indicate that integrated deployment of these technologies can reduce carbon emissions by 68%, improve resource efficiency by 74%, and enhance circular economy adoption by 82% by 2050. The research contributes significantly to the literature by proposing a comprehensive theoretical framework that bridges technology innovation with sustainability outcomes in IT supply chains, while providing actionable insights for practitioners and policymakers navigating the complex landscape of sustainable digital transformation.