The article discusses how the use of artificial intelligence (AI) can be transformative in all aspects of design, development, and deployment of advanced polymeric materials. Through the incorporation of AI methods (machine learning, deep learning, and reinforcement learning), scientists are transforming conventional polymer science by means of fastened discovery, predictive modelling and streamlining of material characteristics. Various applications of AI-designed polymers into real-life situations are showcased by the work in terms of biomedical, energy storage, and environmental sustainability areas. Examples of case studies are AI-optimized drug delivery systems, scaffold designs in tissue engineering and AI-enabled 4D printing of medical devices. Also, the study emphasizes the advances to lithium-ion batteries, solid polymer electrolytes, and biodegradable polymer design which are based on AI. In spite of its possibilities, the study admits difficulties both in the computational resources and information and educative deficiency, promoting uniform data sharing and transdisciplinary training. The fusion of AI and polymer science does not just imply speeding up the innovation process but it implies that the process will be more sustainable and smarter in terms of designing the future application of materials.