The Growing Importance of Central Processors in AI Systems
While high-powered Graphics Processing Units (GPUs) have dominated the narrative around artificial intelligence, a significant industry trend indicates that central processing units (CPUs)—the core components responsible for general computing tasks—are experiencing a resurgence. This shift is driven by the evolution of AI itself; as AI moves beyond simply answering questions to actively performing tasks, managing data, and calling applications through various tools, the workflow management capabilities provided by CPUs are becoming increasingly critical.
Performance Highlights for AMD and Intel
AMD and Intel both recently demonstrated signs of this broader hardware demand. AMD’s stock rose approximately 15% early Wednesday, positioning it for one of its strongest days in roughly seven months. This positive movement followed the company announcing earnings that surpassed Wall Street’s expectations and provided a robust future outlook.
Specifically, AMD reported that its data center revenue saw a jump of 57% compared to the previous year. This growth was attributed not only to demand for AI accelerators but also to server processors. Following this report, Wedbush analysts noted that “CPUs stole the headlines,” even though demand for AMD’s data center GPUs also exceeded expectations. The firm further advised that sales of AMD’s server CPUs accelerated in the first quarter and are projected to continue accelerating into the second quarter.
Adding to the confidence, Bernstein upgraded AMD to an Outperform rating—the first such rating since early 2023—and doubled its price target from $265 to $525. The firm stated that AMD’s AI story is “increasingly looking real,” citing the company’s exposure across both CPU and GPU markets.
Intel also provided an earlier version of this positive trend for investors. Following its earnings release in late April, the company’s stock experienced a surge, fueled by improvements in demand within its data center segment and an improved outlook.
The AI Buildout as a Holistic Hardware Story
Experts note that the current expansion of AI infrastructure is proving to be less about single chips and more about comprehensive hardware integration. Modern, advanced AI systems require not only GPUs but also complementary components such as CPUs, memory units, storage solutions, networking gear, and complete server racks.
This broader chip trade has already impacted the market significantly. Since March 30, the top ten chip-related companies have collectively added an estimated $3 trillion in market value. Key players driving this recovery include Nvidia, Broadcom (AVGO), Taiwan Semiconductor Manufacturing (TSM), Micron (MU), Intel, and AMD.
The industry’s attention now turns to May 20, when Nvidia is scheduled to report its earnings. Analysts will be closely monitoring whether the leader in GPUs confirms that this market trend is deepening into the full server rack level of infrastructure buildout.
