This research explores the application of artificial intelligence (AI) in monitoring, predicting, and managing deforestation and forest degradation. The study leverages satellite imagery analysis and machine learning algorithms, such as convolutional neural networks (CNNs) and predictive modeling, to identify critical deforestation hotspots with an accuracy exceeding 85%. The research focuses on key forest regions, including the Amazon Basin, Central Africa, and Southeast Asia. By integrating AI-driven strategies, the study aims to enhance the precision and efficiency of forest conservation measures, offering a powerful tool for combating deforestation and degradation on a global scale. The findings highlight the transformative potential of AI in environmental conservation, providing actionable insights and empowering informed decision-making. The research also discusses challenges and limitations, emphasizing the need for continued technological innovation and local expertise to ensure equitable and effective forest management.This research explores the application of artificial intelligence (AI) in monitoring, predicting, and managing deforestation and forest degradation. The study leverages satellite imagery analysis and machine learning algorithms, such as convolutional neural networks (CNNs) and predictive modeling, to identify critical deforestation hotspots with an accuracy exceeding 85%. The research focuses on key forest regions, including the Amazon Basin, Central Africa, and Southeast Asia. By integrating AI-driven strategies, the study aims to enhance the precision and efficiency of forest conservation measures, offering a powerful tool for combating deforestation and degradation on a global scale. The findings highlight the transformative potential of AI in environmental conservation, providing actionable insights and empowering informed decision-making. The research also discusses challenges and limitations, emphasizing the need for continued technological innovation and local expertise to ensure equitable and effective forest management.