This study aims to explore and further the knowledge of the topic of composition optimization. The essay aims to examine how a prominent AI called Luminar AI handles composition optimization of images of different kinds in comparison with some of the most common compositional techniques used today. Through this study ten different images were compiled, varying in content and light conditions, to have their compositions be optimized by an AI. A manual variation of the images was also created to serve as a theoretically based foundation for comparison of the compositions. From these different compositions an online form was conducted to gather data about how observers experienced images with different compositions and how they generally felt about them. Four professional photographers were also interviewed, verging in experience and area of expertise. From this data, conclusions regarding how well the AI’s results compared with the manual optimisation of the images was found. Information on, in what regard this type of technology could work today and how well it would be accepted in the field of photography was also debated.