Modernization of State Management of the Digital Economy Based on AI

Abstract

Purpose: The purpose of the paper is to compare various scenarios of state management of the digital economy, to determine the differences between them in developed and developing countries, and to substantiate the expedience and to develop recommendations for modernization of state management of the digital economy based on AI. Design/methodology/approach: The methodological basis of the research is comprised of the Theory of Games and the systemic approach, according to which regression analysis, Monte Carlo method, and the simplex method are used. The research objects are 10 developed and 10 developing countries from different geographical regions of the world. Findings: It is substantiated that modernization of state management of the digital economy based on AI is the most preferable scenario of this management, as it allows achieving the best results for the institutional environment and has the higher probability – i.e., simplicity of implementation. Originality/value: The authors offer recommendations for modernization of state management of the digital economy based on AI, which will ensure its systemic character. Significant differences between the categories of countries are established. In developed countries, digitization could have a reverse effect, aggravating the institutional environment and thus should be accompanied by increased monitoring.