In recent years, three-dimensional (3D) printing and machine learning applications in sustainable construction have evolved. Recent innovations in 3D printing technology have led to its integration in a variety of industries, including buildings and constructions. It is a technology for creating 3D objects layer by layer using a computer-generated design through machine learning depending on pre-identified parameters and the desired output. This paper aims to provide a review about the current practices of the 3D printing and machine learning in sustainable construction and useful suggestions to increase its popularity and potential. Several countries started using 3D printing in construction by creating small-scale prototypes of steel or concrete that can allow for actual printing of full-scale structural systems. The advantages of this technology range from being environmentally friendly to reducing the overall weight of the individual structural elements without affecting their capacities and performance. However, the technology is still facing some major challenges that need to be resolved in order to consider the 3D printing as a competitive and effective technology in the construction industry with optimized shapes, reduced materials, and maintained sustainability criteria.