This study explores the integration of NETZERO-oriented Internet of Things (IoT) systems and Artificial Intelligence (AI) algorithms for sustainable energy management. The effectiveness of IoT systems in optimizing energy consumption and promoting sustainability across sectors is evaluated, while the role of AI algorithms in enhancing energy distribution and efficiency within IoT frameworks is analyzed. Additionally, integration challenges and opportunities are assessed, with proposed strategies for effective implementation. Through empirical analysis and case studies, this research aims to contribute to the advancement of net-zero energy systems by identifying key strategies for maximizing energy savings, minimizing carbon emissions, and overcoming technological and organizational barriers to integration. The findings provide valuable insights for policymakers, industry stakeholders, and researchers seeking to accelerate the adoption of sustainable energy solutions in the context of IoT and AI-driven energy management.