The implications of AI for data governance are profound, as organizations must balance innovation with compliance and ethical considerations. AI systems can automate data management tasks, enhance data quality, and provide insights for decision-making. However, they also raise concerns regarding transparency, accountability, and bias in data handling. As organizations adopt AI technologies, they need to establish robust governance frameworks that address these risks. Ensuring proper data stewardship is essential for maintaining trust and compliance while leveraging AI to drive operational efficiencies and deliver value.