ECONOMIC SYSTEM RESILIENCE: ARTIFICIAL INTELLIGENCE IN CRISIS MANAGEMENT AND POST-WAR RECOVERY OF UKRAINE

Abstract

The research focuses on the role and potential of artificial intelligence in strengthening the state's economic security, enhancing the national economy's resilience, and optimising crisis management processes in the context of Ukraine's war and post-war recovery. This paper considers artificial intelligence to be a strategic resource that ensures the adaptability and self-regulation of economic systems. It also forms the basis for transitioning to a neo-industrial model of development where knowledge, innovation and human capital are the primary growth factors. The theoretical basis is provided by the work of contemporary researchers in digital transformation, economic security and innovative development, as well as by official analytical materials from the OECD, World Bank and European Commission. The objective of the research is to provide a robust foundation for integrating intellectual technologies into Ukraine's economic security system, and to ascertain their potential to enhance the resilience of economic processes and the efficacy of management decisions. Research methodology. In order to achieve the set aim, a range of approaches were used, including systemic, structural-functional, and comparative methods. These methods enabled the revelation of the relationship between digital transformation, innovation activity, and the formation of a new economic management architecture. A range of methodological approaches, including logical, analytical, and synthetic methods, as well as inductive-deductive analysis, were employed to identify patterns in the development of the digital economy and to assess the impact of artificial intelligence on financial stability and risk management. The findings demonstrate that artificial intelligence is a pivotal instrument in the modernisation of Ukraine's economic system, as it facilitates the automation of management processes, enhances the transparency of financial transactions, and ensures a swift response to crisis situations. A structural and functional model of an AI-based risk management system has been developed, covering the production, financial, commercial, and reputational risks of an enterprise. Concurrently, impediments to large-scale digitalisation have been identified, including infrastructure fragmentation, personnel shortages, inadequate funding, and a paucity of regulatory frameworks in the domain of AI. The conclusions emphasise that the integration of artificial intelligence into state and corporate policy is a prerequisite for building a resilient, innovative, and secure economy. Prospects for further research include the formulation of a national AI development strategy, the development of models for assessing its impact on economic security, and the definition of ways to establish Ukraine's digital sovereignty.