The emergence of agentic AI systems is shifting traditional computational workload distribution between CPUs and GPUs, according to reporting from Semiconductor Engineering. The development suggests semiconductor architectures may require reconfiguration to optimize performance for autonomous AI agents that operate differently from traditional machine learning models.