The following thesis aims to analyze and highlight the importance of using artificial intelligence in industry, with particular attention to its role in production planning. In the following chapters, the main issues related to planning are examined, more specifically regarding the scheduling of work orders on limited resources; topics such as the NP-hard combinatorial problem of job shop scheduling (JSS) and current solution methods are addressed; the use of AI in industry and in scheduling; the concepts of Machine Learning; neural networks; Deep Learning and Generative AI. The main content of the thesis, supported by the internship experience carried out in the planning department at Microtecnica s.r.l., focuses on the study and use of a model, written in the Python programming language, which enables the generation of consistent machine plans through the use of Generative AI.