Artificial Intelligence in Newsrooms: Case Study on Al-Mamlaka TV

The reliance on artificial intelligence (AI) in newsrooms has become increasingly common worldwide. This technology is used to enhance the efficiency of news gathering, editing, and distribution. Despite the numerous benefits that can be gained from these technologies, they also create many professional challenges for journalists, which can pose a challenge to increase their use and reliance on AI tools. Using the innovation diffusion theory, a qualitative approach was adopted focusing on Al-Mamlaka TV in Jordan as a case study. In-depth interviews were conducted with 14 journalists working in the newsroom at the headquarters of Al-Mamlaka TV in the capital of Jordan, Amman. The findings concluded that four key challenges affect journalists' use of AI in a newsroom: lack of knowledge and training, language barriers, lack of trust and credibility, and limited tasks. This study contributes to clarifying the challenges that hinder the adoption of AI in a newsroom, which can help media and journalistic institutions find solutions to effectively benefit from AI and avoid such challenges. In addition, the current study provides a theoretical framework for future researchers to further focus on the challenges of AI in newsrooms and utilize different sampling and methodological approaches, such as qualitative and quantitative methods. Keywords: Artificial intelligence, journalism, newsrooms, journalistic practice, Al-Mamlaka TV.