The emergence of Artificial intelligence has impacted society. Today’s world, held sway by technology, has experienced several changes over the years in which AI has intervened. This paper studies the implementation of AI in the healthcare industry through a qualitative study. The study approaches a halting in the implementation hindered by a lack of trust and analyses plausible causes of that absence. The study investigates, through semi-structured interviews, six individuals’ perspectives on AI’s implementation. The data collected shows an expected effect of trust on the implementation process. This paper analyses the interview material through categorization based on the interviewees’ experiences with AI. The combination of a data-driven analysis with a second comparative analysis that relates to existing literature, leads to two significant contributions. First, a successful implementation of AI in healthcare does not depend on having trust for the process itself, but for trusting that a human oversees the implementation; trust in AI is dependable on trust in humans. Second, when investigating the effect of trust, this study suggests drawing a distinction between the various parties involved in the implementation process to understand plausible causes for its halting.