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     2026:5/3

International Journal of Management and Organizational Research

ISSN: (Print) | 2583-6641 (Online) | Impact Factor: 8.56 | Open Access

Innovations in energy financing: Leveraging AI for sustainable infrastructure investment and development

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Abstract

Innovations in Energy Financing are rapidly transforming the landscape of sustainable infrastructure investment and development, largely driven by the integration of Artificial Intelligence (AI). This study explores the pivotal role of AI in reshaping traditional energy financing methods and propelling the transition towards sustainable infrastructure. Leveraging AI technologies, such as predictive modeling, risk assessment, and automated decision-making, enables more efficient and effective allocation of resources in energy projects. By harnessing AI, stakeholders can navigate complex investment landscapes with enhanced precision, mitigating risks and optimizing returns. Furthermore, AI facilitates real-time monitoring and optimization of energy infrastructure, ensuring operational efficiency and sustainability throughout the project lifecycle. However, alongside these opportunities, challenges arise concerning regulatory frameworks, data privacy, and cybersecurity. Collaboration among stakeholders and innovative approaches are crucial to address these challenges and unlock the full potential of AI in energy financing. Looking ahead, AI promises to revolutionize energy financing, democratizing access to capital, and accelerating the transition towards a sustainable energy future.

How to Cite This Article

Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo, Olakojo Yusuff Ogunsola (2023). Innovations in energy financing: Leveraging AI for sustainable infrastructure investment and development . International Journal of Management and Organizational Research (IJMOR), 2(1), 102-114. DOI: https://doi.org/10.54660/IJMOR.2023.2.1.102-114

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