This abstract presents a comprehensive analysis of the influence of Artificial Intelligence (AI) on the field of broadcasting. This research explores the various ways in which AI has influenced broadcasting operations, which includes content creation, video analysis curation, automated language translation and localization ,audio dubbing, colour grading, broadcast graphics, animation, virtual and augmented reality, video editing, live broadcast, advertising targeting and personalization.These concepts were duly explained in order to understand how artificial intelligence influences broadcast in different ways. The challenges of artificial intelligence in Broadcasting in Nigeria was also stated, which stated. The are divided into two sections, the ethical challenges and the professional challenges.Ethical challenges are Bai’s and fairness,privacy concerns. The professional challenges includes job displacement, availability of data, lack of self awareness, authencity, lack of access to resources and lack of expertise in artificial intelligence in broadcast in Nigeria.The theorical framework used in this work is diffusion of innovation theory. The methodology used in the study is survey method using questionnaire as instrument of data collection.Simple random sampling technique was used in selecting four States in the South East where the research would take place. Anambra, Ebonyi, Imo and Abia States were selected. The third stage was purposively selecting broadcast stations from each State according to its prominence. Another stage was adopting the availability sampling technique in sharing copies of questionnaire to the respondents. Analysis was done using the simple percentage and frequency. Findings reveal that artificial intelligence tools are hardly used in Nigeria. Some media and practitioners show that the artificial intelligence features are indeed good and aid in work activities.The study concluded that the future of AI in broadcasting looks unfavourable and the fear of loss of jobs could partly be the reason the use of AI is delayed in broadcast stations. The study recommended the investment in AI trainings for broadcasters and broadcast stations.