This article presents a bibliometric study exploring the convergence between crowdfunding and artificial intelligence (AI). Crowdfunding enables project initiators to access funds through contributions from various individuals, while AI involves the use of systems capable of simulating human cognitive processes. The integration of these two fields holds the promise of optimizing crowdfunding campaigns through predictive tools and enhanced user experience personalization. Despite the evident potential of this synergy, there is a notable gap in the academic literature covering the intersection of crowdfunding and AI. Our study aims to address this gap by analysing the evolution of research on these subjects, identifying key players, predominant and emerging themes, and influential publications. Utilizing a bibliometric approach based on the Scopus database, this study examines the period from 2011 to 2024, generating a total of 10,778 documents with a final selection of 663 relevant articles. The tools used include R-studio, bibliometrix, and VOSviewer, for performance, citation, and content analyses. Results show a significant increase in the number of publications in this field, with terms like “Fintech”, “Machine Learning”, and “Artificial Intelligence” frequently used. The United States and China are the main contributors to these researches. Peking University is a notable institution with numerous publications. Key research themes identified include the application of AI in project selection for crowdfunding and the optimization of crowdfunding platforms. The present study highlights the importance and potential innovations at the intersection of crowdfunding and AI, while underscoring the need for further in-depth explorations in this promising field. The findings reveal opportunities to enhance the efficiency, performance, and profitability of crowdfunding platforms through sophisticated predictive models, offering stimulating prospects for research and innovation.