The manufacturing of composite materials plays a vital role in various industries due to their exceptional properties, performance and lightweight characteristics. However, the manufacturing process of composite materials involves numerous complex and time-consuming tasks, resulting in reduced productivity and increased costs. Additionally, there is a continuous need to improve the efficiency and productivity of composite materials manufacturing processes to meet the growing demands and ensure cost-effective production. Artificial intelligence (AI) has the potential to greatly impact the development, design, and use of composite materials. In particular, it can play crucial role in enhancing efficiency and productivity within the manufacturing process. Artificial intelligence offers various techniques and algorithms that can optimize different aspects of the manufacturing process, including predictive maintenance, real time monitoring and control, process parameter optimization, quality control, material characterization, and design and development. By leveraging artificial intelligence, manufacturers can achieve improved productivity, enhanced product quality, reduced waste, and decreased downtime. The utilization of artificial intelligence methods in composite materials manufacturing holds great potential for positioning companies at the forefront of innovation and competitiveness in the industry. This chapter explores the application of artificial intelligence methods to increase the efficiency of composite materials manufacturing productivity.