The introduction of artificial intelligence (AI) into business processes involves a radical transformation of approaches to management, production and customer service, which is associated not only with colossal investments and personnel training, but also with profound changes in organizational culture. Understanding the full possibilities of using this type of technology is made difficult by the fact that, in essence, while maintaining the current pace of development of digitalization and the next stage of the scientific and technological revolution, the range of issues and problems to be solved becomes limitless. With the accumulation of an extensive research base, artificial intelligence becomes a link connecting the spheres of science and systemically uniting their algorithmization of the problem base, in the format of not only a separate organization, but also at the macroeconomic level. Rapid processing of internal company data and information about dynamic changes in the external environment that affect the efficiency of the organization allows managers to assess the current state of the market most fully and make informed decisions on investment in production and diversification of the latter. More often, AI is used to solve non-standard problems in the absence of streamlining of any processes in order to reduce risks when making long-term decisions. It can also be used as a support system, accumulating knowledge and managing organizational issues. In modern conditions, economics and artificial intelligence are inseparable, and already now the level of economic development of countries around the world largely depends on the possibilities of its application and improvement.