The rapid growth of big data, cloud, IoT, and other technologies in recent years has led to an increasing global interest in Artificial Intelligence (AI), which has also grown quickly across a range of businesses. The broadcast sector has been pursuing intelligent transformation as well as media convergence. Technology based on artificial intelligence is crucial to the evolution and growth of the broadcast sector. This paper presents the use and innovation of AI in broadcast media from the viewpoints of content, operation, and representative broadcast institutions investigated in the f ield of AI. The recent explosion of social media has many positive effects, but it has also brought about a significant problem for society in the form of “fake news,” which has grown to be a major obstacle to free speech, journalism, and broadcast media in general. The paper argued that AI represents a threat to the broadcast sector that needs to be taken seriously. AI and big data provide an additional, even bigger, possibility, i.e., to potentially create a system where the representation of the people is no longer be needed. However, this might not be the end of the broadcast industry, as AI can complement rather than replace the works of broadcast journalists. This paper utilised secondary data and Skill-Biased Technological Change (SBTC) theory was adopted. The paper concluded that in order to create a more intelligent broadcast system using AI technology, which is also a massively systematic project, the industry will need to devote a significant amount of time to research into this field. Keywords: AI, Big data, Broadcast Media, Fake News and social media