The healthcare sector is undergoing significant transformation driven by workforce shortages, role imbalances, and technological advances. Traditional health professions, characterised by advanced knowledge and self-regulation, face challenges from two key trends. First, there is a growing reliance on less-trained workers, such as nursing assistants and physician associates, to fill gaps, raising concerns about patient safety and the quality of care. While these roles can assist in simpler tasks, their expanded responsibilities-often exceeding their training-can lead to adverse outcomes, particularly in critical medical scenarios. Second, the rise of automation and artificial intelligence (AI) offers both opportunities and risks. While AI shows promise in reducing administrative burdens and aiding specialized tasks like image recognition, its limitations hinder its broader adoption, such as reinforcing biases and failing to reason diagnostically. This editorial argues that uncritical reliance on these developments risks compromising healthcare quality. It calls for evidence-based policymaking, robust oversight, and updated regulatory frameworks to ensure patient safety while adapting to these shifts. Getting the right balance between maintaining professional autonomy and integrating new roles and technologies is critical for building resilient healthcare systems capable of responding to future challenges.