AMD shares have surged more than threefold over the past 12 months as the company reported 38% year-over-year revenue growth to $10.3 billion in the first quarter, powered by AI infrastructure demand. New remarks from Nvidia CEO Jensen Huang—“Agentic AI has ar
On a week when semiconductors are already moving on investor nerves, a single sentence from Nvidia CEO Jensen Huang landed like a fresh spark.
“Agentic AI has arrived.”
For AMD investors, that line hits at the center of their latest rally. Over the past 12 months. Advanced Micro Devices’ shares have more than tripled. a run the company links to “excellent financial results.” The first quarter numbers are the reason investors keep coming back: AMD posted revenue growth of 38% year over year to $10.3 billion. In its explanation for the performance, AMD pointed to strong demand for AI infrastructure.
That connects directly to what Huang said next, and to why some investors think AMD still has room to grow. The AI market, as Huang frames it, is no longer stuck waiting for the next phase. The industry is already at the inference stage—the part where models generate outputs. The shift matters because CPUs are expected to play a bigger role as inference expands. and AMD positions itself as a leader in the CPU (Central Processing Unit) market.
If companies move faster from training to inference. and if CPUs become the workhorses for AI agents. AMD’s EPYC processors are the kind of hardware investors want to see demand pull harder. Huang’s claim isn’t subtle: agentic AI is happening now. not “in the future.” For AMD. that could translate into accelerating orders as businesses race to unleash AI agents across every sector and industry.
The excitement comes with an obvious question—what happens if Nvidia beats AMD to the punch?
Nvidia is preparing for that scenario. The company launched its Vera CPU as it eyes the growing opportunity. And AMD is still playing second fiddle to Intel in the CPU market by market share, at least today.
But AMD’s recent progress complicates the fear that it’s running out of momentum.
In the first quarter, AMD held a 33.2% share of the desktop CPU market, up 5% year over year. Its revenue share was even higher—37.6% for the period—signaling stronger pricing power than its competitor. AMD’s high-performing EPYC processors and its manufacturing strategy have been key to gaining ground on Intel. and that track record is part of why some investors believe AMD can capitalize even while Nvidia presses into the same broad opportunity.
What makes the contest feel different now is the size of the map Nvidia is sketching.
Nvidia expects the CPU landscape opened up by agentic AI to represent a massive $200 billion total addressable market. That figure is not framed as a niche opportunity; it’s large enough to dwarf the legacy CPU fight. As the argument goes in AMD’s favor. it’s more than twice the combined revenue of AMD and Intel last year. The implication is straightforward: if the opportunity expands fast enough, multiple companies can win without one immediately cannibalizing the other.
There’s also the reality check that keeps this story from becoming purely a CPU narrative.
While AMD is described as a distant second to Nvidia in the GPU market. the article’s case for AMD emphasizes the total opportunity across its business—CPUs and GPUs together. That larger view is why investors aren’t just looking at the short-term inference wave; they’re trying to judge whether AMD’s positioning can keep producing strong returns over the next few years.
For now. the central tension is still the same one investors are trying to solve: can AMD capture enough of this agentic AI demand to sustain the kind of financial momentum that already sent its stock more than three times higher over the last 12 months?. If agentic AI truly is already here, the market may be answering that question sooner than many expected.
AMD stock Nvidia Jensen Huang agentic AI inference EPYC CPU market Vera CPU AI infrastructure semiconductor investors