The research explores the prospects for enhancing advanced practices of making climate-responsible decisions based on big data and artificial intelligence (AI) in smart business to support decarbonization. Using regression modeling and drawing on the best practices of the top 25 countries with the highest impacts from climate-responsible decisions and the active digitalization of smart business in 2023, the authors developed a new model. This model identifies the impact of digitalization of smart business on the results of climate-responsible decision-making. The combined model reveals the causal relationships in economic decarbonization, highlighting its theoretical significance. The model forms the basis of the author’s conclusion that the prospects for improving climate-responsible decision-making practices based on big data and AI in smart business to support decarbonization are linked to enhancing cybersecurity levels. The authors created an economic decarbonization forecast using Kyrgyzstan as an example. This forecast revealed the potential for improving climate-responsible decision-making practices based on big data and AI in smart business. The forecast holds practical significance, forming a scientific foundation for developing Kyrgyzstan’s national economic decarbonization strategy.