Super Micro Falls 7% as NVIDIA Leadership Shock Drowns Out Gartner's $957 Billion Forecast

Super Micro Computer (NASDAQ: SMCI) fell 7% to $28.15 in Thursday morning trading, even as Gartner projected that spending on AI-optimized servers will reach $957.2 billion in 2027. The stock is losing a tug-of-war between an upbeat AI spending forecast and a leadership shock at the top of the AI chip trade. Dell Technologies dropped 4% and Hewlett Packard Enterprise slipped 1% in the same session.

The trigger sits one supplier upstream. NVIDIA (NASDAQ: NVDA) stock fell 5% on the day, and NVIDIA's GPUs sit at the heart of Super Micro's servers. The two stocks tend to trade together, and NVIDIA's decline is weighing on the broader technology sector.

What happened at NVIDIA?

Jensen Huang resigned as NVIDIA's CEO, president and board member on November 12. The company named chief financial officer Colette Kress as interim CEO. That leadership shock is drowning out Gartner's forecast across the AI server group, which had rebounded sharply on November 11 before reversing.

For Super Micro, the timing cuts against an otherwise strong story. On November 3, the company reported Q1 FY2027 revenue of $19.9 billion and lifted its fiscal 2027 revenue outlook to a range of $72 billion to $82 billion. CEO Charles Liang said the quarter came in "well ahead of our original outlook of $15 billion."

What does Gartner's forecast actually say?

In a forecast published November 12, Gartner analyst John-David Lovelock projected that spending on AI-optimized servers could reach $957.2 billion in 2027. For 2026, Gartner estimates that spending at $527.6 billion. That implies nearly a doubling in a single year.

Gartner attributes the jump to several drivers:

• Faster-than-expected growth in AI inference workloads
• More compute-intensive training
• Hyperscaler and neocloud build-outs
• "Memflation" — Gartner's term for memory-driven increases in AI server prices

The server picture is one slice of a much larger number. Gartner also expects total worldwide AI spending to climb 47.5% to $4.05 trillion in 2027. Infrastructure would make up $2.4 trillion of that total, a clear majority in Gartner's forecast, and the server builders capture only part of that spend.

Why did Dell and HPE fall less than Super Micro?

Dell Technologies (NYSE: DELL) traded at $357.41, down 4%. The pullback is softer than Super Micro's, and the reason is the revenue mix. Dell's base reaches well beyond AI systems into traditional servers, storage and personal computers. A broader mix like that may help buffer Dell against NVIDIA-linked selling.

Hewlett Packard Enterprise (NYSE: HPE) traded at $49.59, down 1%, the smallest decline among the three. CEO Antonio Neri described the company on September 2 as increasingly becoming "a networking company." Networking gear sits a step removed from the GPU-packed racks that tie Super Micro so closely to NVIDIA. HPE also leans on its Juniper Networks acquisition, alongside servers, storage and financial services, and higher-margin networking gear gives it a profit buffer that pure server assemblers lack.

Upcoming earnings reports from both Dell and Hewlett Packard Enterprise could offer fresh reads on AI server demand.

How does Super Micro's business model stand apart?

Super Micro focuses on AI servers and rack-scale systems, tying its growth heavily to large data center customers and NVIDIA's platform roadmap. Liang has pitched the company's Data Center Building Block Solutions, which bundle hardware, management software and services, as a way to speed delivery and lower total cost of ownership. That concentration cuts both ways. It gives Super Micro more upside when AI spending speeds up and more downside when sentiment toward NVIDIA sours.

Dell runs a broader information technology franchise spanning AI servers, traditional servers, storage, and commercial and consumer PCs. Jeff Clarke stated on Dell's latest earnings call that "AI is an important catalyst, but the opportunity extends well beyond AI optimized infrastructure." PC sales add scale and cash generation that pure server builders can't easily match.

What's the bear case hiding in Gartner's own numbers?

Bulls can point to Super Micro's raised revenue outlook and Gartner's call for a steep jump in AI server spending. But the bears can cite a cautionary Gartner forecast from October. Gartner warned that more than $3.5 trillion of AI infrastructure spending could face impairment by 2030 if investment continues at its current pace, because AI revenue may fall short of earning a return on all planned capital spending.

There's also a concentration risk specific to Super Micro. One customer accounted for 44% of Super Micro's revenue in Q1. That's a real exposure if a major buyer slows its spending.

What comes next for the AI server trade?

Super Micro's next challenge is whether Gartner's demand outlook can outweigh uncertainty around NVIDIA's leadership transition. Super Micro stock has whipsawed alongside its AI server peers, and NVIDIA's next moves under interim leadership could keep that volatility elevated. That background could favor a cautious approach while the transition at NVIDIA plays out — even with a $957.2 billion market forecast on the table.