Moving massive volumes of sensitive mainframe data to the cloud for AI processing createsintroduces unacceptable latency and security risks, thatmaking make the whole approach impractical. Data gravity and the need for real-time transaction processing mean AI must come to the mainframe, not the other way around. The platform has evolved into an AI-optimized hub with integrated accelerators that can run complex neural networks alongside mission-critical workloads.