Most CIOs Can't Define "Agentic Architecture." That's Becoming a Problem
Enterprise AI budgets are shifting from single models to multi step agent systems, and new research suggests a lot of organizations are structuring those systems in ways that actively hurt performance, which has less to do with GPU shortages than with how the work gets broken down in the first place.
Ask ten IT leaders to define agentic architecture and you'll probably get ten different answers, ranging from a chatbot that can take actions on someone's behalf to a whole swarm of specialized bots working in parallel, and the fact that the definitions are all over the place is starting to matter because it means a lot of organizations are making architecture decisions without a shared sense of what they're actually deciding on.
A Google Research study published earlier this yearput some real numbers behind a suspicion a lot of practitioners already had, which is that adding more agents...
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