Dell’s AI Server Business Is Now Bigger Than Its PC Business

For decades, Dell was primarily known as a PC company. Today, that description is becoming outdated.

The company’s latest financial results reveal just how dramatically the technology landscape has changed. Dell’s AI server business generated $16.1 billion in revenue during the quarter, surpassing the $14.6 billion generated by its traditional PC division. Investors responded enthusiastically, sending Dell shares up by nearly 40% following the announcement.

The results offer more than a strong earnings story. They provide a glimpse into where technology spending is increasingly flowing as businesses invest heavily in AI infrastructure.

The AI Boom Is Moving Beyond Software

Much of the discussion around artificial intelligence focuses on chatbots, AI assistants, and generative tools. However, behind every AI application sits a massive hardware infrastructure.

Training and running advanced AI models requires powerful servers, specialized chips, networking equipment, storage systems, and data center capacity. Companies supplying this infrastructure have become some of the biggest beneficiaries of the AI investment wave.

Dell is one of them.

The company reported $24.4 billion in AI-related orders during the quarter and raised its forecast for AI server revenue to approximately $60 billion for fiscal 2027, up from a previous projection of $50 billion.

The figures suggest that demand for AI infrastructure remains strong despite growing discussions about AI spending discipline and return on investment.

AI Infrastructure Is Becoming Big Business

What makes Dell’s results particularly interesting is the scale of the transformation.

The company’s Infrastructure Solutions Group, which includes servers, storage, networking, and AI infrastructure products, has consistently outperformed its PC business over recent quarters. In the latest results, the gap widened further as AI-related demand accelerated.

This reflects a wider trend across the technology industry.

As organizations adopt AI, spending increasingly shifts toward the infrastructure required to support it. Cloud providers, chip manufacturers, server vendors, and data center operators are all competing to meet demand from enterprises, AI startups, and hyperscale technology companies.

In many cases, the infrastructure layer is growing faster than the applications themselves.

The Nvidia Effect Continues

Dell’s AI servers are powered largely by Nvidia technology, which remains at the center of the global AI ecosystem.

The partnership illustrates how interconnected the AI supply chain has become. NVIDIA provides the processing power, while companies such as Dell package that capability into systems that enterprises can deploy within their own environments.

As a result, demand for AI often creates growth opportunities across multiple layers of the technology stack.

For businesses looking to deploy AI, buying a model is only one part of the equation. Organizations also need the hardware, networking, storage, and operational infrastructure capable of supporting AI workloads at scale.

What This Means for E-commerce

Although Dell operates primarily in enterprise technology, the implications extend into digital commerce.

Many e-commerce innovations currently attracting attention, including conversational shopping, recommendation engines, AI-generated content, and agentic commerce, depend on the same infrastructure powering the broader AI economy.

As retailers and marketplaces integrate more AI capabilities, demand for computing power continues to grow behind the scenes.

The conversation around AI often focuses on customer experiences. However, Dell’s results highlight an equally important reality: AI requires significant investment in infrastructure before those experiences can exist.

A New Identity for Technology Companies

Dell’s latest quarter illustrates how quickly technology companies are adapting to the AI era.

A business once associated primarily with personal computers now generates more revenue from AI servers than from PCs. At the same time, demand for AI infrastructure continues to exceed expectations, prompting the company to raise forecasts and expand its ambitions.

Whether current AI spending levels prove sustainable remains an open question. Recent debates around AI costs and return on investment suggest that some organizations are becoming more selective about where they invest.

However, Dell’s results show that one area of spending remains resilient: the infrastructure powering artificial intelligence itself.

As the AI economy matures, the companies building the foundation may become just as important as those building the applications on top of it.