Abstract: This paper focuses on how Artificial Intelligence (AI) can be used to manage climate change by reviewing the literature on the topic in terms of bibliometric analysis of articles published within the 2011-2023 from the Scopus database. The growing intensity of climate change has generated a sense of urgency of new and evidence-based adaptation solutions, and AI has become an effective tool to increase predictive power, make better decisions, and aid in resilience plans. The study employed VOSviewer, MS Excel, SPSS, and PRISMA 2020 statements to analyze the database to determine the patterns of publications, influential authors, leading countries, prominent journals, citation patterns, and the network of co-occurring keywords. The findings indicate the increase in publications, especially since 2017, which is evidence of an increase in interest in using AI to address climate challenges around the world. The United States and China became the top sources of research and citations and have high international collaboration networks, whereas major thematic areas are machine learning application, climate modeling, decision support system, and risk assessment. Additionally, the discussion shows that there is a shift in conceptual research to apply and policy research. Although this has been achieved, there are still significant gaps,especially regarding fusion of the socio-economic aspects and low inputs of developing regions. The article has established that AI is a vital and growing component of climate change adaptation and that inclusive, context-sensitive solutions and collaboration are the key areas of future research to improve global resilience and sustainability.