Title: The Role of AI in Enhancing Green Finance for Sustainable Growth: Evidence from Uzbekistan
Authors: Buriyev Shaxbos Baxtiyorovich
Volume: 10
Issue: 5
Pages: 31-35
Publication Date: 2026/05/28
Abstract:
The convergence of artificial intelligence (AI) and green finance represents a transformative paradigm for advancing sustainable economic development. This study investigates the mechanisms through which AI technologies can enhance the efficiency, transparency, and scalability of green finance instruments, with a particular focus on Uzbekistan as an emerging economy undergoing significant ecological and financial reform. Drawing on secondary data analysis and a conceptual framework grounded in institutional economics and technology adoption theory, this paper examines how machine learning, natural language processing, and big data analytics can be deployed to improve green bond assessment, environmental risk modelling, and climate-related financial disclosures. The findings suggest that AI-driven tools substantially reduce information asymmetries between investors and green project developers, lower transaction costs, and enable more robust monitoring of environmental, social, and governance (ESG) criteria. In the context of Uzbekistan, where green finance infrastructure is nascent yet rapidly evolving, AI adoption offers a strategic pathway to mobilize domestic and international capital for renewable energy, water management, and low-carbon agricultural projects. The paper concludes with policy recommendations for regulators, development finance institutions, and the private sector to establish enabling frameworks for AI-integrated green finance ecosystems.