The Transformative Impact of the Development of Artificial Intelligence on Employment and Work Motivation in Business in the Conditions of the Information Economy

Abstract

The paper examines how the development of digital technologies, in particular artificial intelligence (AI), affects the labor market and changes the work process. It is argued that the main goal of enterprise management in the conditions of digital transformations is the formation of internal motivation among employees. As a result of this, the employee's dependence on positive and negative reinforcements from management decreases and self-motivation increases. The internal and external factors that contribute to the increase or decrease of the salary are determined. The role of the obtained results in further practical implementation is to make clear how AI algorithms help employees reach goals more efficiently - based on the study of cases of digitalization achievements in the field of motivation on the example of Ukrainian innovative companies the construction of the “needs - interests - incentives (motives) - result” scheme was proposed. Direct economic, indirect economic and non-monetary methods of motivation are considered and the main principles of the development of the motivation system are highlighted. It is emphasized that due to the training and retraining of personnel in such a way that the growth of their wages does not lag behind their productivity, and they receive wider opportunities for career growth, it is possible to ensure the sustainability of personnel policy in the conditions of the transformational impact of digitalization and AI.