Super Micro raises quarterly outlook as AI server demand boosts shares
Rising spending on AI infrastructure is continuing to support server makers as companies race to expand data center capacity. Super Micro Computer shares climb in premarket trading after the company projects quarterly revenue and profit margins well above Wall Street expectations.
Highlights
- Super Micro raises Q1 revenue guidance to $18.5 billion–$19.5 billion and profit margins to 12%–12.5%, exceeding previous estimates.
- Super Micro shares surge 12.7% to $36.69 in premarket trading as robust AI data center demand drives optimism about future growth.
- Dell and Hewlett Packard Enterprise gain over 4% each, while Microsoft, Google, Amazon, and Meta are projected to spend over $700 billion on AI infrastructure in 2024.
Forecast points to stronger AI server momentum
As reported by Reuters, Super Micro forecasts first-quarter revenue of $18.5 billion to $19.5 billion, above analysts' expectations of $15.23 billion based on LSEG data. The company also now expects profit margins of 12% to 12.5%, up from its earlier outlook of 10.4% to 10.8%.The updated guidance indicates that demand tied to AI data center buildouts remains firm for the server maker. Super Micro shares rise 12.7% to $36.69 in premarket trading as investors react to the stronger outlook.
Sector implications for AI infrastructure spending
The ongoing push to build data centers is also benefiting other companies tied to AI hardware demand. Dell and Hewlett Packard Enterprise gain more than 4% each before the bell, while Microsoft, Google, Amazon and Meta are expected to spend more than $700 billion on AI infrastructure this year.UBS Global Wealth Management strategists say investors are likely to watch whether core business performance continues to support elevated AI investment. They add that market attention remains on spending levels, margins and returns, especially as concerns persist over the profitability of data center operators funding expansion with debt amid rising borrowing costs.
Those concerns intensified after CoreWeave, a heavily indebted data center operator, was at the center of a selloff last week that also shook AI-linked stocks.
Our earlier article on the U.S. AI data center buildout highlighted that surging demand is colliding with higher funding costs, construction delays, and power-grid constraints. We noted that only a portion of planned projects looked realistic, while cases like the CoreWeave sell-off and cost overruns underscored growing investor concerns about whether developers can deliver capacity on time and generate sustainable returns.
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