The rapid proliferation of Internet of Things (IoT) devices has introduced significant cybersecurity challenges, necessitating innovative solutions to protect these interconnected systems. This paper explores the impact of artificial intelligence (AI) on cybersecurity within the context of IoT. By examining AI's role in enhancing threat detection, predictive analytics, and overall security protocols, this study provides a comprehensive analysis of how AI can transform IoT cybersecurity. This study highlights key findings, discusses their implications, and offers recommendations for future advancements in the field. Furthermore, the study addresses the limitations and potential risks associated with integrating AI into cybersecurity measures, including concerns related to AI-driven false positives and the evolving nature of cyber threats. By integrating case studies and real-world examples, this paper aims to bridge the gap between theoretical insights and practical applications, ultimately guiding industry professionals towards more resilient and adaptive security strategies.