New York, April 27, 2026, 11:03 EDT
- Intel pushed higher after Friday’s all-time high, with AI demand continuing to drive gains in its server CPU segment.
- It’s a notable shift: investors are starting to push the AI trade past just Nvidia-style graphics chips.
- There’s not much margin for error here: supply dynamics, valuation, and Intel’s untested foundry ambitions all stack up as risks.
Intel stock climbed again Monday, building on a steep post-earnings surge that’s pulled the chip giant back into Wall Street’s AI mix after lagging for years. Shares traded at $84.76, up 2.7%. That puts Intel’s market cap near $430.6 billion.
The shift is taking center stage now as AI demand pushes further into what’s called “inference”—in other words, running trained models to answer prompts or perform tasks. That puts CPUs, those all-purpose chips that orchestrate the rest of the hardware, back in the spotlight after GPUs had their initial moment driving AI’s early surge. On Friday, Reuters said Intel’s latest results and guidance spurred at least 23 brokerages to hike their price targets. CFO David Zinsner told Reuters the company managed to move inventory that had been sitting on the shelf, but cautioned, “I am not sure we have that benefit in the second quarter.” Reuters
Intel’s stock has shaken off the “AI laggard” label. Shares have soared 110% this year, Axios noted Monday, with the price hitting a record high Friday—finally eclipsing a peak it set 25 years ago. CEO Lip-Bu Tan told investors, “the CPU is reinserting itself” in the age of AI. Ed Yardeni of Yardeni Research called the current tech upheaval “creative destruction on speed,” adding that companies either innovate or “get destroyed.” Axios
Intel’s Q1 results spelled it out: revenue climbed to $13.6 billion, a 7% jump from last year. Non-GAAP earnings came in at 29 cents per share. For the second quarter, Intel is projecting revenue somewhere between $13.8 billion and $14.8 billion. The Data Center and AI segment delivered $5.1 billion in revenue, marking a 22% increase. Intel Foundry—responsible for manufacturing chips for both internal and external clients—brought in $5.4 billion, up 16%.
Analysts who once wrote off Intel are now getting behind Tan’s turnaround. Seaport Research’s Jay Goldberg told MarketWatch the company is “on its firmest footing in years.” Over at Evercore ISI, Mark Lipacis pointed to a “CPU renaissance,” crediting the rollout of agentic AI tools — these are applications that handle tasks with more autonomy — for driving demand for additional CPUs to handle the heavier workloads. MarketWatch
Chip stocks aren’t moving in lockstep. Advanced Micro Devices dropped 3.7% late Monday morning, and Arm Holdings slipped roughly 9%. Nvidia, on the other hand, picked up 0.5%. The divide makes it clear: investors aren’t piling into every AI chip name—they’re choosing where they see the real winners in the next phase.
The story’s a bit messier underneath. On Monday, Barron’s noted UBS analyst Timothy Arcuri bumped his Intel target up to $83 but stuck to a Neutral call, flagging concerns over the company’s earnings strength. Others highlighted pressure from AMD, Arm, Nvidia, and those custom chips big cloud players are rolling out. That’s the paragraph investors won’t forget: Intel still has to demonstrate that the demand surge isn’t just tight supply—and that its foundry unit can actually land external clients at scale.
Intel’s old issues haven’t disappeared. Manufacturing dominance slipped away to Taiwan Semiconductor Manufacturing Co., and Nvidia grabbed the spotlight as AI training needs pushed up demand for graphics chips. If anything, the recent rally signals those setbacks seem less disastrous now, but they’re far from fixed.
Foundry ambitions are still front and center. Intel announced it’s now a strategic partner on the Terafab project, joining up with SpaceX, xAI, and Tesla. The company also landed a slot for its Xeon 6 chips as the host CPU inside Nvidia’s DGX Rubin NVL8 systems. Those deals, Tan argues, reinforce the case that Intel’s hardware can be woven into AI infrastructure—even when it’s not supplying the accelerator.
Intel’s narrative has flipped. A year back, investors wondered if the company had been left behind by AI. Now, they’re trying to figure out just how much of the AI stack still relies on Intel.
