БОЛЬШИЕ ФУНДАМЕНТАЛЬНЫЕ МОДЕЛИ ИИ В ЭКОНОМИКЕ ДАННЫХ КАК НОВАЯ ПАРАДИГМА СОЦИАЛЬНО-ЭКОНОМИЧЕСКОГО РАЗВИТИЯ С ПОЗИЦИЙ КОНЦЕПТУАЛЬНОГО АНАЛИЗА

Abstract:
This study examines the transformation of the digital economy driven by artificial intelligence, big data, and platform technologies – factors crucial to national competitiveness and technological sovereignty. The topic’s relevance stems from the exponential growth of data volumes, the rise of generative AI, shifts in labor structures, management practices, and business models, as well as the pressing need for regulatory frameworks. The research aims to identify the roles of artificial intelligence and the data economy in socio-economic development and to assess their impact on the state, business, and society. The study hypothesizes that the effectiveness of digital transformation depends not only on the scale of technology adoption but also on the institutional environment, regulatory frameworks, workforce training, and data management practices. Its scientific novelty lies in a comprehensive analysis of artificial intelligence as a technological, economic, and managerial resource amidst shifting technological and global economic paradigms. The methodological framework incorporates a comparative-analytical approach and an analysis of academic literature, legal acts, statistical data, and forecasting reports. The study highlights the emergence of conditions fostering productivity growth, service personalization, digital customer-centricity, and new markets, while also addressing risks such as technological dependency, inequality, cyber threats, and ethical conflicts. The findings are intended to inform the development of digital transformation strategies, AI regulation, data management practices, and specialist training programs. Future research avenues include assessing the impact of generative AI, modeling responsible data usage, and analyzing mechanisms to ensure digital sovereignty.