Due to its potential to increase output, effectiveness, and quality, the incorporation of artificial intelligence (AI) approaches in machine automation has attracted a lot of interest recently. The goal of this research article is to give a thorough review of the various AI strategies used in machine automation and to explain their advantages. The classification of AI techniques, including machine learning, natural language processing, computer vision, and robotics, as well as their use in automating various machine functions, are covered in detail in this study. The paper also examines the difficulties in incorporating AI with machine automation, such as model correctness, interpretability, and ethical concerns. There is also discussion of potential answers to these problems. The study's conclusion emphasises the use of AI in machine automation and the requirement for ongoing analysis to raise effectiveness and efficiency.