Generative AI, capable of creating new content through machine learning algorithms, can help automate tasks, improve content quality, and generate new insights for decision-making. Methods used include Generative Adversarial Networks (GANs) and Stable Diffusion. Despite their scope, limitations include lack of fine-grained control over augmentations, the need for user intervention, and the extensive compute power required. Developments in this field could lead to more practical tools.