This review investigates the development and influence of AI anchors in the broadcasting sector, focusing on their significance, theoretical underpinnings, and practical applications. It explores the shift from traditional human presenters to AI-driven systems, with attention to advancements in natural language processing, speech technology, and audience interaction. The findings suggest that while AI anchors improve efficiency and allow for tailored content delivery, they encounter challenges in replicating the emotional resonance of human hosts. The study also highlights existing gaps in research, particularly in areas such as ethical concerns, audience attitudes, and cultural contexts. Recommendations for future studies include deepening the exploration of AI anchors' roles in the media landscape, advocating for an integrated approach that combines the unique advantages of AI and human broadcasters.