Augmented Management: The Economic Logic of Integrating Artificial Intelligence into Managerial Decision-Making

Анотація

The digitalization of management and the rapid diffusion of artificial intelligence are changing the way enterprises make managerial decisions, yet the economic content of these changes remains insufficiently researched. The aim of the article is to substantiate the economic logic of integrating artificial intelligence into the managerial decisions of enterprises and to develop an organizational-economic mechanism of such integration. The study is designed as a theoretical-empirical analysis combined with structural-functional modelling, which enabled a critical synthesis of scientific literature, statistical data, and data of international companies. It is posited that artificial intelligence generates an economic effect not as an automation technology but as a mechanism for reallocating the decision-making process between machine prediction and human judgement. Content analysis, comparative analysis, the systems approach, structural-functional and conceptual economic modelling, abstraction, and generalization are applied. Scientific approaches to interpreting augmented management are generalized; empirical evidence on its economic effects is systematized; the channels of economic effect are identified: the speed and quality of decisions, the reduction of transaction and coordination costs, and expertise scalability; an organizational-economic mechanism of integration is developed; a four-dimensional assessment system across the resource, process, result, and strategic dimensions is proposed; and the conditions of value realization and a calibrated application perimeter are substantiated. The theoretical significance lies in extending the economic interpretation of augmented management as a managerial category. The practical significance lies in the applicability of the proposed mechanism for substantiating decisions on the scope, sequencing, and evaluation of artificial intelligence integration into decision-making. The originality consists in a holistic substantiation of the economic logic and mechanism of artificial intelligence integration into managerial decisions linked to measurable enterprise outcomes. The study is limited by its conceptual nature; further research concerns the empirical verification of the mechanism, including under the conditions of Ukraine’s post-war economic recovery. Article type: theoretical-empirical.

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