This research focuses on developing an Eurasian model for implementing a human-centered approach to the spread of artificial intelligence (AI) within the socio-economic system. To this end, it presents an empirical study based on 2025 statistics on AI deployment in the EAEU and Central Asian countries. The resulting model reveals a regression relationship indicating that the quality of life in the Eurasian socio-economic system is influenced by the spread of AI, in conjunction with the implementation of complementary, socially oriented measures. The theoretical significance of this relationship lies in its illumination of the causal links between the development of the AI economy in the EAEU and Central Asia. The model is further enhanced with forecasts of the social consequences of widespread AI adoption in the Eurasian digital economy, as well as recommendations for maximizing the contribution of the AI economy to improving quality of life in Armenia and Kyrgyzstan. The practical value of the forecasts and recommendations lies in their potential to mitigate social risks associated with AI development in Eurasian countries. The implementation of the proposed human-centered approach to AI deployment could, by 2031, improve the quality of life in Armenia by 66.39% and in Kyrgyzstan by 98.99%, underscoring the value of these recommendations for the region. The core scientific contribution of this research lies in identifying a synergistic effect resulting from the joint implementation of AI and socially oriented measures in the digital economy. The overarching conclusion of this research is that while a technocentric approach to AI deployment in Eurasia is not associated with pronounced social costs, it is also less effective at enhancing quality of life compared to a human-centered approach.