The swift growth of cloud computing necessitates creative methods to maximize resource management, strengthen security, and boost system efficiency. With its ability to provide autonomous, predictive, and adaptive solutions in multi-cloud settings, Artificial Intelligence (AI) has grown into a crucial enabler. Artificial Intelligence and heuristic algorithms powered by AI enhance dependability, reduce expenses, and maximize cloud performance. However, issues like data quality, integration complexity, and AI model weaknesses still exist. This paper looks at AI's function in the cloud management of resources, highlighting its advantages, disadvantages, and potential directions for future investigation. The method analyzes past consumption data, forecasts future requirements, and dynamically distributes resources using Artificial Intelligence (AI) and machine learning models. AI-driven tactics dramatically improve the efficiency and cost-effectiveness of cloud environments, as shown by case studies and results from experiments. In the end, AI has an opportunity to revolutionize cloud resource management by providing companies of all sizes with improved operational effectiveness, scalability, and agility.