Database administration is evolving rapidly as AI technologies mature, reshaping how DBAs approach their work.AI-driven automation and intelligent analytics are enhancing efficiency but also introducing new challenges for DBAs.AI can automate routine maintenance tasks like backups and patching, freeing up DBAs for more strategic work.AI-powered performance tuning can analyze query access plans and provide tuning advice based on execution metrics, improving efficiency.Predictive analytics and AI can help DBAs detect and resolve potential issues before they impact operations, reducing downtime.AI's security monitoring capabilities can analyze access patterns and raise alerts for potential security breaches, improving coverage.Human DBAs excel in complex contextual problem-solving, navigating organizational politics, ethical decision-making, and interpreting ambiguous requirements.AI limitations include missing contextual understanding, offering cookie-cutter solutions, and not fully considering business context.The future of database administration involves collaboration between AI systems and human DBAs, combining automation with human expertise.Forward-thinking DBAs embrace AI as an assistant, focusing on strategic work and leveraging data as a business asset rather than routine tasks.