Climate change presents a critical global challenge requiring accurate forecasting and effective mitigation strategies. Traditional climate prediction models face limitations in handling complex environmental variables and massive datasets. Artificial Intelligence (AI) has emerged as a transformative tool capable of improving climate modeling, pattern recognition, and sustainability planning. This study examines the role of AI in climate change prediction and environmental sustainability. The research analyzes machine learning algorithms, satellite data interpretation, and predictive modeling techniques to assess climate trends, carbon emission patterns, and ecological risks. The findings reveal that AI-driven climate models significantly enhance prediction accuracy, enable early disaster warnings, and support sustainable environmental policy formulation.