The research aims to determine the impact of big data and AI on creating green jobs and making environmental decisions in Asian countries. By employing correlation and regression analysis methods, the authors developed an econometric model for environmental management in the top 15 Asian countries with the most favorable opportunities for developing a green economy in 2023. According to the model, the use of big data and AI has a significant yet contradictory influence on environmental decision-making in these countries. While it promotes more active green investments and job creation, it simultaneously limits green trade and restrains green innovations. The theoretical significance of the developed model lies in its pioneering revelation of the causal relationships between the use of big data and AI and the effectiveness of environmental decision-making in Asia, a unique region of the world. The practical significance stems from the identified potential to increase the number of green jobs and optimize environmental decision-making through the more active use of big data and AI in Kyrgyzstan. This approach enables the development of corporate plans and the implementation of programs for the green development of Kyrgyz enterprises. The managerial significance is reflected in the fact that the organizational scheme developed for creating green jobs and making environmental decisions using big data and AI will enhance contemporary environmental management practices for enterprises in Kyrgyzstan and other Asian countries.