The swift advancement of artificial intelligence (AI) technologies has brought about a profound shift in the realm of cybersecurity threat prediction. This comprehensive literature review delves into the advancements and challenges within the realm of AI-driven cybersecurity threat prediction. By comprehensively amalgamating various scholarly sources, this analysis elucidates the present situation and anticipates the future developments of artificial intelligence (AI) in the realm of predicting cybersecurity threats. The discussion delves into pivotal topics such as machine learning algorithms, deep learning techniques, natural language processing, and anomaly detection methodologies. Additionally, ethical considerations, data privacy issues, and the integration of AI with traditional cybersecurity practices are critically examined. The review concludes by highlighting emergent trends and suggesting avenues for future research, thereby providing valuable insights for both academics and practitioners in the field of cybersecurity.