The impact of artificial intelligence on the formation of new business models in the global economy

Abstract

The rapid spread of intelligent technologies is significantly changing the logic of how companies operate and their approaches to value creation in the economy. The purpose of this article is to provide a comprehensive analysis of the impact of artificial intelligence on the transformation of business models in the global economy and to identify key areas of evolution for modern companies under the influence of intelligent technologies.

Research methods include systematic analysis, generalisation of scientific sources, a structural-functional approach, comparative analysis of leading companies' practices, and a case study method to assess the impact of artificial intelligence on real business models.

The results of the study show that artificial intelligence is becoming the basis for developing new mechanisms to create value, enhancing the possibilities for product personalisation, optimising management processes, and expanding the functionality of digital ecosystems. Examples from Amazon, Tesla, the banking sector, and small businesses demonstrate how machine learning algorithms transform operating models, ensure supply chain flexibility, improve customer interactions, and drive the development of new products and services. The risks and challenges of implementing intelligent systems are considered separately, including ethical issues, the threat of monopolisation of the technology market, cybersecurity issues, and the impact on employment.

The conclusions argue that the use of artificial intelligence is radically changing the structure of modern business models, making them more flexible, adaptive, data-centric, and ecosystemic. Companies that integrate intelligent technologies gain significant competitive advantages while facing new regulatory and ethical requirements. Prospects for further research include deepening understanding of the impact of artificial intelligence on the formation of long-term enterprise strategies, developing models of responsible technology management, and analysing the transformations of global markets under the influence of intelligent systems.