Shell and tube heat exchangers are fundamental components in the chemical industry, responsible for efficient heat transfer processes critical for various manufacturing operations. As the chemical industry continues to evolve and strive for increased efficiency and sustainability, the integration of artificial intelligence (AI) technologies has emerged as a promising avenue to optimize the operation and performance of these heat exchangers. This paper explores the current state of shell and tube heat exchangers in the chemical industry and investigates the pivotal role that AI plays in improving their efficiency, reliability, and overall effectiveness. We delve into the applications of AI in the design, monitoring, and control of heat exchangers, highlighting key benefits and challenges associated with its implementation.