Advanced Micro Devices on Tuesday provided a second-quarter revenue outlook that exceeded Wall Street forecasts, driven by what the company described as persistent demand for its data-center chips as cloud services expand spending on artificial intelligence infrastructure. AMD put quarterly revenue at $11.2 billion, plus or minus $300 million, compared with consensus estimates of $10.52 billion compiled by LSEG.
The chip designer has increasingly been viewed as a significant challenger to Nvidia's market position, and it is pursuing a fresh AI hardware opportunity centered on central processing units as customers transition from training machine-learning models to deploying them in production - a phase commonly referred to as inference.
Earlier this year, AMD disclosed an agreement to sell up to $60 billion worth of artificial intelligence chips to Meta Platforms over a five-year period in a deal that permits the social-media company to acquire as much as 10% of the chipmaker. That arrangement, along with the revenue outlook, has been reflected in investor appetite: AMD shares have risen roughly 60% so far this year, outperforming Nvidia's approximately 6% gain and outpacing the broader Philadelphia semiconductor index, which has climbed about 48%, all figures as of the Monday close.
Analysts generally see AMD as well-positioned to capture rising CPU demand based on market share gains and its product roadmap. However, competition is intensifying. Intel, which provided a strong revenue forecast last month, has moved past several quarters of production struggles and is now increasing its in-house fabrication capacity to meet expanding CPU demand. That effort raises competitive pressure on AMD, which relies on TSMC's constrained manufacturing capacity.
At the same time, the semiconductor sector faces a global shortage in memory chips tied to a scramble for high-bandwidth memory used in data centers alongside GPUs and CPUs. The surge in memory prices is expected to weigh on demand for consumer electronics, a core market for AMD, because higher component costs could translate into more expensive computers and deter some buyers.
Investment tools and services that evaluate individual stocks are referenced in market commentary, but readers should consider that promotional material included in some reports seeks to highlight potential strategies and examples of past returns without guaranteeing future results.
AMD's guidance and the broader supply dynamics highlight a market balancing growing enterprise AI investments against capacity constraints and rising memory costs, factors that will shape demand across both data-center infrastructure and consumer device markets in the near term.