The paper analyzes how artificial intelligence transforms managerial tools and tasks in the modern digital economy. It is shown that artificial intelligence can be used at three levels: as a tool for performing individual operations, as an element of an individual’s cognitive system, and as part of an organization’s cognitive infrastructure. The nature of interaction is influenced by various factors, including the cognitive capabilities of the algorithm ang the level of trust in the results it generates. The study reveals that at the second level, the decision-making process acquires an iterative nature, based on successive cycles of interaction between humans and algorithmic systems, while at the third level, this interaction becomes distributed. The use of AI at the second and third levels leads to a shift in the role of managers from autonomous analysis to the management of a distributed cognitive process, including the coordination of human and algorithmic intelligence, as well as the monitoring and identification of potential errors and biases. The practical significance of the study lies in the possibility of applying its results to analyze the use of artificial intelligence in managerial activities of organizations. The proposed typology of AI usage levels allows for assessing the degree of its integration into organizational processes, identifying limitations and risks, and determining the conditions for transitioning to more advanced forms of human-AI interaction. In addition, the results can be used in organizing employees’ work with AI and in designing training programs aimed at developing skills for effective interaction with generative models and the critical interpretation of their outputs.
Mariya Guseva (Mon,) studied this question.