Driving the energy transition in the GCC: the role of Artificial Intelligence, technology and energy prices

Amidst global decarbonization dynamics, Artificial Intelligence (AI), the Digital economy, and energy prices are shaping the energy transition in a way that has never been more critical. Using MMQR and IVQR, this research investigates the effects of AI, research and development (R&D), and energy prices on the Energy Transition (ETR) in the Gulf Cooperation Council (GCC) countries. The novel non-parametric quantile analysis results indicate that AI, R&D, and the Digital economy have a positive influence on the energy transition across different quantiles. Oil prices have a negative impact on the energy transition, particularly at the upper quantile, where high oil prices often hinder the transition. AI and the digital economy are important drivers of energy transition in the GCC. This study contributes by showing their significance and offering important insights for policy. • Artificial Intelligence, digital economy and technological innovation can be crucial to the advancement of the energy transition. • These variables define the path toward a resilient and decarbonized energy infrastructure. • Using a novel non-parametric quantile moment-based technique, the research finds that AI, DEC, and PAT positively influence energy transition, promoting sustainable development. • The study highlights the importance of collaborative recent efforts in the GCC countries to enhance the green value of the digital economy. • These findings provide valuable insights for policymakers, researchers, and industry to aid the promotion of sustainable energy transition.