When artificial intelligence first gained traction in the early 2010s, general-purpose central processing units (CPUs) and graphics-processing units (GPUs) were sufficient to run early neural networks, image generators, and language models. But by 2025, the rise of agentic AI—that is, models capable of thinking, planning, and acting autonomously in real time—has fundamentally changed the equation.
With a single click, these AI-powered assistants can turn work items into real outcomes—from booking venues and handling HR tickets to managing customer queries and orchestrating supply chains.
“We’re heading into a world where hundreds of specialized, task-specific models known as agents can work together to solve a problem, much like human teams do,” says Vamsi Boppana, SVP of the AI group at Advanced Micro Devices (AMD). “When these models communicate with one another, the latency bottlenecks of traditional data processing begin to disappear. This machine-to-machine interaction is unlocking an entirely new level of intelligence.”
As enterprises integrate AI agents into live workflows, they are realizing that true autonomy requires a fundamentally new computing foundation.
