This study examines the current status and development trajectory of No-Code platforms integrated with artificial intelligence (AI). These platforms allow users to build applications without manual coding by using visual tools and logic-based components. With the integration of AI technologies such as natural language processing, generative models (e.g., GPT, DALL·E), and automation systems, No-Code tools are evolving into intelligent ecosystems accessible to non-developers. This study analyzes the AI capabilities of leading platforms including WEM, Microsoft Power Apps, and Google AppSheet. It highlights key functions such as text generation, image creation, and chatbot development. Additionally, the paper explores the usability, limitations, and societal impact of these platforms—addressing concerns such as model transparency, platform lock-in, and language support. Case studies in education, government, and small enterprises demonstrate practical applications and benefits. While No-Code AI empowers a broader range of users and supports faster innovation, ethical and technical challenges remain. The paper concludes by emphasizing the need for governance, open standards, and responsible design to ensure sustainable growth in the era of democratized AI development.