 This paper reviews the use of artificial intelligence, AI, techniques in optimizing geopolymer concrete production. It discusses the benefits, challenges and growing interest in utilizing AI techniques for optimizing geopolymer concrete production. The review identifies a range of AI techniques, including machine learning algorithms, optimization models, and performance evaluation measures. These techniques were used to optimize various aspects of geopolymer concrete production, such as mixed design, curing conditions, and material selection. This article was authored by George Iwadi Agua-Elinine, Kalawola Dyssa-Olinade, and Ebenezeri Senigo.