Solar energy has emerged as a significant renewable energy source due to its abundant and freely available nature. Among the different renewable energy sources, solar energy holds great importance. In solar-based systems, an MPPT (Maximum Power Point Tracking) controller plays a crucial role in extracting the maximum power available under specific irradiance and temperature conditions. The utilization of artificial intelligence (AI) is steadily increasing across various sectors of photovoltaic (PV) systems. This growth can be attributed to advancements in computing power, tools, and data generation. Several functions within the solar PV industry, including design, forecasting, control, and maintenance, currently rely on methods that often yield inaccurate results. By delving into these aspects, this study aims to shed light on the role of AI in enhancing the efficiency and effectiveness of various stages within the PV value chain. Through careful analysis, it seeks to provide valuable insights into the potential benefits and drawbacks associated with the integration of AI in solar PV systems.