Why CPU importance is growing in the era of AI agents

AI agents are expanding the role of CPUs by taking on multi-step tasks like goal decomposition, web navigation, file analysis, and code execution.

These workloads rely heavily on CPU-centric operations such as logic processing, network calls, file handling, and action execution, not just model inference.

As a result, low-latency CPUs like AWS Graviton are gaining importance alongside accelerators such as GPUs and Trainium.

The shift suggests AI infrastructure may prioritize general-purpose compute and I/O handling more than training-focused hardware.