The article discusses how Artificial Intelligence (AI) is revolutionizing hydrogen and carbon storage, offering significant advancements in clean energy solutions. Moses Falowo, a Hydrogen and Carbon Storage Researcher at Kansas State University, highlights the transformative role of AI, particularly in machine learning (ML), for identifying optimal underground storage sites with precision and speed. The integration of AI in energy geosciences presents opportunities for Nigeria to utilize its natural gas reserves for hydrogen production and implement carbon storage solutions to mitigate greenhouse gas emissions. The article emphasizes the importance of investing in AI research and development, fostering collaborations across sectors, and creating supportive policy frameworks for the adoption of AI-driven solutions in the energy sector. It cites examples like the use of machine learning models at Los Alamos National Laboratory and the U.S. DOE's Science-Informed Machine Learning initiative for optimizing hydrogen and carbon storage operations. The potential economic benefits of AI advancements in clean energy sectors, job creation, and climate mitigation are highlighted. The synergy between AI and geologic storage technology not only accelerates climate goals but also supports economic resilience. The article underscores the critical role of AI in addressing climate challenges and accelerating the transition to renewable energy sources.