Managerial Future of the Artificial Intelligence




management, artificial intelligence, AI, ethics, AI personality, managerial work


The developed concept for Artificial Intelligence (AI) introduction to the management system is concerned with a range of ethical, social, environmental and legal issues. Management system as a form of organising chaos and complexity becomes the only platform to design business and to make it sustainable irrespective of location and personalities engaged. At the time of the world economy demand for social actors, activism in the necessary transition of management oriented to reach the Sustainable Development Goals (SDG) is a crucial factor to form the new management digitized system. Environmental, Social and Governance (ESG) Investing managed assets as a part of all corporate assets. ESG initiative was a proposal of the UN to promote principles for a sustainable economy. Companies with better ESG performance can increase shareholders’ value by managing risks related to emerging ESG issues, namely bring the corporation to have energy transition experience. Different approaches of millennials to managing enterprises show their higher interest than that of predecessors to introduce ESG standards and tasks to the day-to-day management. Millennials are more interested in social values than in the investment return. Even the future of investments is dependent on the basic idea that investors are not short-termist but tend to be loyal to a project about which they have more relevant information. So, they may support new AI-based management in the case it becomes an efficient platform to design a human-oriented enterprise. This study aims at showing what the relationship of the management structure and process should be in order to manage the AI progress. Understanding of management content and work with the AI representation is of strategic importance.


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How to Cite

Nyenno, I., Truba, V., & Tokarchuk, L. (2023). Managerial Future of the Artificial Intelligence. Virtual Economics, 6(2), 72–88.