This chapter explores the transformative potential of Generative Artificial Intelligence (GAI) in tailoring solar photovoltaic (PV) systems for industrial needs, emphasizing safety features. With fossil fuel depletion and rising emissions, a shift to renewable energy is crucial, positioning solar PV as a key sustainable alternative. Traditional solar installations often fail to optimize performance, but GAI can create customized solutions considering environmental parameters, energy consumption, and financial constraints. AI techniques like feature extraction, multi-objective optimization, and predictive modeling enhance system efficiency. The Tailoring PV Systems Solution API, developed with ChatGPT, exemplifies AI’s role in providing risk assessments, safety protocols, and real-time support, ensuring international safety compliance. AI improves equipment protection, operator safety, and community well-being, driving innovation and sustainability in renewable energy. However, challenges like data privacy, algorithmic biases, technical barriers, and economic viability must be addressed. Robust data protection, unbiased AI models, and supportive policies are essential. Future advancements in GAI, integrated with smart grids and the Internet of Things (IoT), will enhance forecasting and real-time adaptation, optimizing solar performance. Collaborative efforts are needed to overcome obstacles and fully harness AI’s potential for a cleaner, equitable energy future.