Intel posted a net loss of $4.28 billion by standard accounting rules on Thursday, wider than the $887 million loss a year earlier, even as the company's headline numbers beat Wall Street expectations by a wide margin on a non-GAAP basis that strips out restructuring charges and foundry write-downs. That non-GAAP profit came in at 29 cents per share versus the 1 cent analysts expected. The company is betting that a shift toward CPU-heavy AI infrastructure will fill the gap. Intel's first-quarter results CNBC reported the earnings details
Revenue rose 7 percent year over year to $13.6 billion. The Data Center and AI division, or DCAI, posted $5.1 billion in revenue, up 22 percent, which Intel attributes to what it calls agentic AI — systems that plan and act across multiple steps without continuous human input. Intel's first-quarter results
The more substantive question is whether the Data Center and AI division beat reflects a durable shift toward CPU demand in AI systems, or whether it's a temporary cycle as hyperscalers restock inventory after years of minimal server purchases. Intel points to agentic AI as the new variable. TrendForce tracks the shift: in the previous generation of AI infrastructure, the typical deployment paired one CPU with four to eight GPUs. In agentic AI deployments, the ratio is shifting toward one CPU for every one or two GPUs — a meaningful change in how AI systems are built.
Analysts see real money in that shift. Morgan Stanley estimates agentic AI could add $32.5 billion to $60 billion to a data-center CPU market already exceeding $100 billion by 2030. Reuters reported the Morgan Stanley forecast
Customers are already moving. Google committed to using Intel's newest Xeon 6 processors to run AI workloads in its data centers. Intel's newsroom announced the Google commitment NVIDIA selected Xeon 6 as the host CPU for its DGX Rubin NVL8 systems, which pair eight GPUs together for AI training. Intel's collaboration announcement And earlier this month, Intel said it would help design, fabricate, and package chips for SpaceX, xAI, and Tesla at a new complex in Austin, Texas — a strategic win that positions Intel as a supplier to three of the most demanding AI hardware buyers in the world. CNBC reported the Terafab participation
Those are real design wins. Intel also moved to fully own its Irish fab operation, buying back the 49 percent minority stake in Fab 34. But Intel's manufacturing problems are real too. Some 18A wafers — Intel's newest chip-making process — have defects that lower the number of usable chips per wafer, a metric called yield. CNBC reported the yield issues Analysts are now watching the 14A process node for signs of whether Intel can fix the problem. The company is guiding for second-quarter revenue of $13.8 billion to $14.8 billion, with non-GAAP earnings of 20 cents per share. Intel's financial results
The stock moved up 16 percent in after-hours trading Thursday. It is up 80 percent year to date. That rally is a bet on the AI inflection story, not a reward for results. Intel's GAAP loss widened despite the non-GAAP beat, and the foundry business that the turnaround plan depends on has not yet produced the yields needed to compete at scale.
What happens next is straightforward: Intel has to ship the 14A node at viable yields, hold the design wins it announced this quarter, and demonstrate that the CPU-to-GPU ratio shift is a lasting architectural change rather than a temporary response to chip availability and power constraints. The next earnings call will answer whether the DCAI beat was the start of a durable cycle or the top of one.