GoKawiilLisa Su, chair and chief executive officer of Advanced Micro Devices Inc. (AMD), during the 2026 CES event in Las Vegas, Nevada, US, on Monday, Jan. 5, 2026.
"Looking ahead, we expect server growth to accelerate meaningfully as we scale supply to meet demand," Su said.
AMD CEO Lisa Su said in the statement that the data center unit is now the "primary driver of our revenue and earnings growth."
For the second quarter, AMD said it expects about $11.2 billion in revenue, versus expectations of $10.52 billion, according to LSEG.
Revenue climbed 38% from $7.44 billion a year ago, the company said in a release on Tuesday. Data center sales increased 57% to $5.8 billion from $3.67 billion in the same period a year earlier. Net income rose to $1.38 billion, or 84 cents per share in the quarter, from $709 million, or 44 cents per share, a year ago.
Here's how the chipmaker did versus LSEG consensus estimates for the quarter ended in March:
Advanced Micro Devices reported first-quarter earnings Tuesday that topped expectations, while the company's revenue forecast also exceeded estimates as demand soars for chips to power artificial intelligence workloads.
In prepared remarks ahead of the earnings call, Su said the company has "strong and increasing confidence" in its ability to reach tens of billions of dollars in data center AI revenue next year "and to exceed our long-term growth target of greater than 80 percent in the coming years."
AMD's stock has been on a tear, more than tripling over the past year, including a 66% jump so far in 2026. While the company has trailed far behind rival Nvidia in the market for graphics processing units (GPUs) to power AI data centers, investors have poured into AMD's stock more recently on optimism that the opportunity is large enough for multiple players.
Unlike Nvidia, AMD has long been a leading maker of central processing units, or CPUs, which are enjoying a major renaissance as agentic AI shifts compute needs. AMD shares popped last week when AMD and Intel announced they'll pair up on a new instruction set for x86 CPUs. The new feature, called AI Compute Extensions, aims to increase performance and energy efficiency by boosting compute density by 16 times.
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