Generative Artificial Intelligence (Generative AI) is one of the most significant recent developments in artificial intelligence. It focuses on producing new content that resembles human-created materials, including text, images, music, and videos. This type of AI relies on advanced deep learning models capable of analyzing massive datasets and learning from them to generate innovative content. Generative AI has introduced major transformations in various creative fields. It has become a valuable tool for artists, writers, designers, and musicians by helping them develop new ideas and complete creative projects more efficiently. It also enables the production of diverse content within a short time, which accelerates artistic and media production processes. In literature, generative AI assists in writing articles, stories, and poetry, while also providing creative suggestions for authors. In design and visual arts, it can generate innovative artworks and designs based on the analysis of artistic styles and patterns. Furthermore, generative AI has entered the music and film industries by producing soundtracks and advanced visual effects. Despite its many advantages, generative AI raises important questions about the future of human creativity. Some believe that excessive reliance on such technologies may reduce human involvement in creative processes, while others consider AI a supportive tool that enhances human capabilities rather than replacing them. Additionally, challenges related to intellectual property rights and originality of creative works have emerged, as it can be difficult to determine authorship when content is generated with AI assistance. Moreover, uncontrolled use of generative AI may lead to the spread of misleading or low-quality content. In the future, generative AI is expected to continue evolving and become an essential partner in the creative process by combining human abilities with advanced digital technologies to produce new forms of creativity and knowledge.