This paper explores the profound impact of artificial intelligence (AI) on the creative processes in the fields of literature and art, highlighting its transformative influence on traditional notions of creativity and authorship. By examining key AI technologies such as Generative Adversarial Networks (GANs), DeepDream, AIVA, and DALL-E, the study delves into the ways AI systems are capable of generating original works in art, music, and literature. The research also addresses the moral and ethical dilemmas that arise as AI blurs the lines between human and machine-generated content. It considers the implications of AI’s role in redefining artistic and literary originality, challenging our understanding of what constitutes creative authorship. Furthermore, the paper explores the legal complexities surrounding AI-generated works, particularly concerning intellectual property and copyright laws. As AI continues to evolve, it presents both opportunities and challenges for artists, writers, and creators, prompting significant philosophical debates about the nature of creativity, the role of technology in artistic expression, and the future of human–machine collaboration in the arts. This study provides a nuanced perspective on how AI is reshaping the boundaries of creativity, urging a reconsideration of the relationships between technology, art, and authorship.