Artificial Intelligence (AI) has become a central part of everyday life for many people, both in personal and professional settings. It is used as a tool to assist with various tasks, especially in fields such as healthcare. Health managers, for example, use AI to handle routine or repetitive duties that are considered less valuable or time-consuming. This allows them to focus on more strategic goals, such as improving teamwork, productivity, and unity within their organizations. However, there is a risk that overreliance on AI could lead to unintended consequences for both the managers and their teams. If health managers rely too heavily on AI, they may lose sight of the need for personal judgment and contextual awareness in their decision-making. AI can organize tasks efficiently, but it cannot replace the nuanced understanding of institutional culture or the unique traits of individual team members. This could lead to a shift where the human element of management is diminished, and the role of health managers becomes less essential. The concern is that AI might begin to take over functions that require human insight, potentially reducing the value of human managers in the long run. The potential dangers of fully entrusting AI with organizational tasks are highlighted by the rise of the platform economy, as seen in services like Uber. In such models, traditional workplace structures are replaced by decentralized, often unregulated systems. Employees are not bound by company premises, fixed schedules, or collective negotiations. This can lead to increased work pressure and a lack of protections for workers. As Gabriel Lomellini points out in an article for the web magazine The Conversation, considering real work conditions is crucial for maintaining quality and employee well-being. In the healthcare sector, similar issues are emerging, though to a lesser extent. Some medical radiology technologists, for example, are now managing multiple magnetic resonance imaging (MRI) machines remotely, while less qualified staff handle patient preparation. This setup allows for greater flexibility but may lead to increased workloads without corresponding pay increases. If AI is overused in such scenarios, the role of health managers might be further diminished, leading to their replacement by other professionals such as psychologists or quality engineers. This scenario, while not imminent, raises concerns about the future of human leadership in healthcare. As technology advances rapidly, it is important to remain vigilant and ensure that AI remains a supportive tool rather than a replacement for human judgment.