Leveraging Finance Models and AI to Achieve Net-Zero Emissions: Implications for Oil and Gas SMEs in the Energy Sector
Year: 2025
Type: article
Abstract: The transition to net-zero emissions is a critical goal for the global energy sector, with the oil and gas industry playing a pivotal role in achieving this target. This paper explores the implications of leveraging artificial intelligence (AI) and innovative financial models to support small and medium-sized enterprises (SMEs) in the oil and gas sector in their efforts to reduce carbon emissions. The study highlights the potential of AI technologies, such as predictive maintenance, emission monitoring, and energy management systems, to optimize operations, improve energy efficiency, and reduce the carbon footprint of oil and gas SMEs. In parallel, various financial mechanisms, including green bonds, sustainability-linked loans, and carbon trading, are examined as tools that can provide the necessary capital and incentives for decarbonization efforts. The paper discusses the challenges SMEs face in accessing these technologies and financial solutions, proposing strategies to overcome barriers such as high initial costs, lack of technical expertise, and limited access to financing. Additionally, the role of policymakers and financial institutions is emphasized in creating favorable conditions for SMEs to access AI technologies and sustainable finance. By combining AI-driven technologies with innovative financial instruments, oil and gas SMEs can make significant strides toward achieving net-zero emissions while enhancing operational efficiency and maintaining competitiveness. The study concludes by offering recommendations for future research in areas such as the long-term impact of AI on sustainability and the development of new financial instruments tailored to the unique needs of SMEs in the energy sector.
Authors: Ngozi, Joan Isibor, Abiola, Oyeronke Akintobi, Comfort, Iyabode Lawal, Verlinda, Attipoe, Ezinne C., Chukwuma-Eke, Solomon, Christopher Friday
Institution: Deloitte (United States)
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949355033
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