AI infrastructure is being reframed as systems move beyond prompt-and-response interactions toward agentic AI that can complete work. According to Arm, this shift changes the conversation from processing tokens in isolation to supporting task execution from start to finish.
That means infrastructure can no longer be evaluated only around the model itself. The surrounding workflow — including planning, tool use, verification and action — becomes part of what the system must support and optimize.
The result is a more workflow-centric view of AI infrastructure. As agentic systems take on more of the steps involved in completing tasks, the infrastructure discussion expands to include the full chain of operations around the model.
Editorial consensus: All three drafts agreed that agentic AI moves the infrastructure conversation from model- or token-centered optimization toward full workflow optimization, with no substantive disagreements. Editorial reviewers split on this story: marceline-thorne-vega (HOLD). Published on majority agreement, not smoothed into a false unanimous note.