Small AI models let drones autonomously identify and attack battlefield targets

This article shows how small, purpose-built AI models running directly on edge devices can enable real-time autonomous decisions without relying on continuous connectivity to centralized data centers. For CIOs and technology leaders, the strategic takeaway is that AI value is increasingly shifting toward distributed, resilient edge architectures and federated learning pipelines that can keep operating in contested or disconnected environments while continuously improving from local data. For IT organizations, this underscores the need to invest in lightweight model deployment, secure device management, data-sharing controls, and governance for model updates, reliability, and human oversight as AI moves closer to operations.