The research introduces an economic-mathematical model created using regression analysis. The developed model shows the noteworthy and predominantly positive impact of big data and AI on economic crisis management. The model delineates the key facets of counter-cyclical business management, particularly concerning big data and AI, thus underscoring the theoretical importance of this research. The novelty of this research lies in its revelation of Russia’s pioneering role as a progressive economy, highlighting its impressive strides in mitigating the global sanction crisis. Based on the developed model, the authors illustrate the potential of increasing the efficiency of counter-cyclical management by automating decision-making in economic crisis management using big data and AI in Russia. The managerial significance of this identified perspective lies in its ability to refine decision-making practices in economic crisis management through more efficient utilization of big data and AI. The practical significance of the proposed recommendations, aimed at implementing this identified perspective, lies in their potential to contribute to a more comprehensive realization of Russia’s economic growth prospects during the Decade of Science and Technology (until 2031).