- Dell now expects about US$25 billion in AI-server revenue for fiscal 2026, up from a prior US$20 billion forecast.
- While AI orders and backlogs have reached record levels, the company still faces mounting cost pressures — prompting investors to watch carefully whether profits keep pace with the booming demand.
What Happened: Dell Technologies raises Q4 & Full-year forecasts, targets $25B 2026 AI-server revenue
On Tuesday, Dell Technologies issued a bullish update on its financial outlook, raising both its quarterly and full-year revenue and profit forecasts. The company now expects fourth-quarter revenue of US$31–32 billion, substantially above Wall Street’s estimates, and sees full-year 2026 AI-server revenue of US$25 billion, up from the previous US$20 billion projection.
The surge in confidence stems from a dramatic upswing in demand for AI-optimised servers. During the most recent quarter, Dell reported US$12.3 billion in new AI-server orders and ended the quarter with a backlog of US$18.4 billion.
Shipments are ramping up too: Dell shipped roughly US$5.6 billion worth of servers in the quarter. Its Infrastructure Solutions Group — which includes the server business — saw 24 % revenue growth, while its traditional PC-focused Client Solutions Group rose just 3 %.
The demand surge comes from a mix of major customers: among those placing orders are the U.S. Department of Energy, the Abu Dhabi-based AI firm G42, and high-profile AI players such as xAI and CoreWeave.
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Why it’s important
The sharp ramp-up in AI-server demand reflects the broader, relentless growth of AI workloads — from machine learning training to large-language-model serving. For Dell, this represents a major re-orientation: server infrastructure, especially AI-ready data-centre hardware, is fast becoming the company’s growth engine, overshadowing legacy PC sales.
Dell’s revised outlook may help calm investor concerns, especially those related to margin pressure from competition — notably from rivals such as Super Micro Computer — and from rising memory-chip and component costs.
However, the path ahead is uncertain. High production costs, potential supply-chain bottlenecks, and the inherent volatility of demand for high-end AI servers (which often depend on cutting-edge chips, e.g. from NVIDIA) could compress margins. If the boom in AI deployments slows or becomes more selective — for example, shifting toward cost-sensitive enterprise use rather than hyperscale-cloud deployments — Dell’s current forecasts may come under pressure.
Moreover, large order backlogs do not always translate smoothly into long-term profitability: delays, pricing pressure, or customer cancellations remain risks. For Dell to sustain growth, it will need not only to deliver on volume but also to manage costs, ensure efficient supply-chain execution, and remain competitive in a rapidly evolving AI infrastructure landscape.
