The article examines the characteristics of generations X, Y, Z, and offers practical recommendations for optimizing the hiring processes and interactions with this group, taking into account their unique characteristics and potential. The relevance of the study is that in today’s society, engulfed in rapid technological change, generation Z is becoming a key participant in the labor market, while more and more studies are devoted to the application of modern methods in the study of the characteristics
of generation Z and the use of this fact in human resource management. The scientific novelty is that the study put forward and proved the hypothesis that using the deep learning (DL) model «Random Forest» it is possible to form a forecast of the decision to hire applicants, representatives of generations X, Y, Z. Applicants who scored above the average level receive 1 and can be hired. It is possible to tighten the requirements by raising the "bar" of requirements higher. The program can select the required number of applicants from a ranked series. The results of the study, when statistically processed, indicate that the best candidates can be selected among the representatives of Generation Z using the deep learning method Random Forest.