Advancements in artificial intelligence (AI) are revitalizing traditional broadcasting, which has faced challenges from the rise of digital media, by enhancing content creation, distribution, and audience engagement. Traditional broadcasting, which includes radio and television, historically communicated in a one-way format to mass audiences with scheduled programming, and has been struggling against the interactive and on-demand nature of new media like streaming services and social media. AI tools are now enabling broadcasters to streamline content creation through generative AI, optimize distribution with predictive analytics, and personalize content for individual viewer preferences. Techniques such as voice cloning and AI-powered editing improve productivity, accessibility, and cost-effectiveness while also offering new revenue opportunities for voice actors and media professionals. Additionally, AI contributes to interactive storytelling and real-time viewer engagement, suggesting that traditional broadcasting may experience a resurgence by leveraging AI to enhance traditional media's capabilities and reach.