Artificial Intelligence (AI) is revolutionizing diffractive optics through advanced capabilities in design optimization, pattern generation, fabrication enhancement, performance forecasting, and customization. AI algorithms, such as machine learning, generative models, and transformers, enable researchers to analyze extensive datasets, refine the design of diffractive optical elements (DOEs) tailored to specific applications, and create intricate and efficient optical structures. AI also optimizes manufacturing processes, simulates diffractive optics behavior, and facilitates rapid prototyping. This integration of AI into diffractive optics holds significant potential to transform optical technology applications across diverse sectors, including imaging, sensing, and telecommunications. The paper discusses the evolution of AI, its contributions to diffractive optics, and the role of AI in the manufacturing of DOEs, highlighting the challenges and advancements in fabrication techniques. The future potential of AI in advancing DOEs is promising, with the opportunity to transform design, optimization, and manufacturing processes, leading to unprecedented performance capabilities and versatile functionalities.Artificial Intelligence (AI) is revolutionizing diffractive optics through advanced capabilities in design optimization, pattern generation, fabrication enhancement, performance forecasting, and customization. AI algorithms, such as machine learning, generative models, and transformers, enable researchers to analyze extensive datasets, refine the design of diffractive optical elements (DOEs) tailored to specific applications, and create intricate and efficient optical structures. AI also optimizes manufacturing processes, simulates diffractive optics behavior, and facilitates rapid prototyping. This integration of AI into diffractive optics holds significant potential to transform optical technology applications across diverse sectors, including imaging, sensing, and telecommunications. The paper discusses the evolution of AI, its contributions to diffractive optics, and the role of AI in the manufacturing of DOEs, highlighting the challenges and advancements in fabrication techniques. The future potential of AI in advancing DOEs is promising, with the opportunity to transform design, optimization, and manufacturing processes, leading to unprecedented performance capabilities and versatile functionalities.