Advanced Micro Devices (AMD) delivered a strong first quarter, surpassing analyst expectations for both earnings and revenue. The chip giant’s performance was buoyed by the insatiable demand for processors powering artificial intelligence workloads, a trend that continues to reshape the technology landscape.
The company’s stock saw a significant surge of approximately 15% in after-hours trading following the announcement.
For the quarter ending in March, AMD reported:
* **Earnings Per Share (EPS):** $1.37, exceeding the LSEG consensus estimate of $1.29.
* **Revenue:** $10.25 billion, outperforming the projected $9.89 billion.
Revenue witnessed a robust 38% year-over-year increase from $7.44 billion. The data center segment, a critical growth engine, reported a substantial 57% jump in sales, reaching $5.8 billion compared to $3.67 billion in the same period last year. Net income for the quarter climbed to $1.38 billion, or 84 cents per share, a notable improvement from $709 million, or 44 cents per share, a year prior.
Looking ahead, AMD anticipates second-quarter revenue to be around $11.2 billion, also surpassing LSEG’s consensus forecast of $10.52 billion.
AMD CEO Lisa Su highlighted the data center unit as the “primary driver of our revenue and earnings growth.” She expressed confidence in the company’s ability to scale supply to meet escalating demand, stating, “Looking ahead, we expect server growth to accelerate meaningfully as we scale supply to meet demand.” Su further elaborated in prepared remarks that AMD has “strong and increasing confidence” in its trajectory to achieve tens of billions of dollars in data center AI revenue next year and to exceed its long-term growth target of over 80 percent in the coming years.
AMD’s stock has experienced a remarkable ascent, more than tripling over the past year, with a 66% gain year-to-date in 2026. While the company has historically lagged behind competitor Nvidia in the lucrative graphics processing unit (GPU) market for AI data centers, investor sentiment has recently shifted. The broad optimism surrounding the vastness of the AI opportunity suggests ample room for multiple players to thrive.
A key differentiator for AMD lies in its established strength in central processing units (CPUs). These processors are experiencing a significant resurgence, driven by the evolving demands of agentic AI, which requires substantial and specialized compute power. The recent announcement of AMD’s collaboration with Intel on a new instruction set for x86 CPUs, dubbed AI Compute Extensions, further bolsters this narrative. This new feature promises to enhance performance and energy efficiency by dramatically increasing compute density.
The semiconductor industry is currently navigating a complex landscape marked by a global memory shortage, stemming from unprecedented AI demand, coupled with manufacturing and advanced packaging capacity constraints. Geopolitical factors, including the ongoing conflict in Iran, have also introduced supply chain challenges. These combined forces have fueled a speculative frenzy across various semiconductor-related stocks. Intel, for instance, recently recorded its best-ever month in April, with its stock more than doubling after reporting first-quarter results that significantly beat analyst estimates. Memory chip manufacturer Micron has also seen its stock surge by over 700% in the past year, propelling its market capitalization past the $700 billion mark.
Beyond its CPU and GPU offerings, AMD is poised to launch its first full rack-scale system for AI data centers, codenamed Helios, later this year. This ambitious project is designed to compete directly with Nvidia’s high-end systems like Grace Blackwell and Vera Rubin, which command prices upwards of $3 million.
Industry heavyweights OpenAI and Meta have already committed to shipments of Helios, signaling AMD’s emergence as a viable alternative for major AI players and hyperscalers grappling with securing adequate compute resources. Meta, in February, announced a multiyear agreement with AMD to deploy up to 6 gigawatts of the company’s GPUs for its AI data centers, alongside the integration of AI-optimized CPUs. Su confirmed that shipments of Helios are slated to commence in the latter half of the year.
“Together with our previously announced OpenAI partnership, these engagements position AMD as a core partner to the world’s largest AI infrastructure builders, with deep co-engineering relationships and multi-year visibility into large-scale deployments,” Su stated, underscoring AMD’s strategic positioning in the evolving AI ecosystem.
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