Abstract

This study explores the potential of collaborative agentic AI systems to improve global resource management across multiple industries. It introduces an innovative framework that leverages advanced AI technologies to optimize resource distribution, enhance sustainability, and increase operational efficiency. The research examines the application of machine learning algorithms, predictive analytics, and autonomous decision-making in sectors such as agriculture, energy, manufacturing, and logistics. Findings highlight significant improvements in resource utilization, waste reduction, and environmental impact mitigation. Additionally, the study addresses the challenges and ethical considerations of deploying AI-driven systems on a global scale. The paper concludes by emphasizing the transformative potential of collaborative agentic AI in tackling critical resource management challenges and promoting a more sustainable future.