Shares of chipmaker Intel (NASDAQ: INTC) have been on a remarkable run. As of this writing, the stock has soared nearly 500% over the past year, with much of that gain piling up in the last several weeks alone. After the company posted its first-quarter results in late April and was reported to have reached a preliminary chip-manufacturing agreement with Apple earlier this month, the stock notched a fresh 52-week high near $130.

This kind of move naturally invites a question: Could Intel be the next Nvidia (NASDAQ: NVDA)?

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The framing makes some sense. Both are AI-tied semiconductor giants, both have been pulled into the same generative AI infrastructure narrative, and both have CEOs talking up multiyear platform shifts. But the underlying businesses look very different — and so do the expectations baked into their stocks today.

An AI chip.
Image source: Getty Images.

The bull case shouldn’t be ignored

To be fair, there’s more to Intel’s rally than just hype.

The chipmaker’s first-quarter 2026 revenue rose 7% year over year to $13.6 billion, beating the midpoint of management’s own guidance by more than $1 billion and marking the sixth consecutive quarter Intel has exceeded its own forecast. Further, non-GAAP (adjusted) earnings per share landed at $0.29, easily clearing management’s forecast for breakeven. And the company’s adjusted gross margin expanded to 41% from 39.2% in the year-ago quarter.

The data center and AI segment, which is now the focal point of the bull case, did even better. Segment revenue rose 22% year over year to $5.1 billion in Q1, accelerating sharply from 9% growth in the fourth quarter of 2025.

And Intel chief financial officer David Zinsner seemed to indicate that Intel is at the center of a pivotal moment in the AI boom.

These results reflect “the growing and essential role of the CPU in the AI era and unprecedented demand for silicon,” Zinsner explained in the company’s first-quarter earnings release. And this makes sense. As AI workloads shift from training-heavy use cases toward inference and agentic systems, the typical ratio of GPUs to CPUs in a deployment may compress, giving Intel’s Xeon line a bigger seat at the table.

The strategic signals are also lining up.

Last year, Nvidia agreed to invest $5 billion in Intel and to use the company for custom data center CPUs. Intel also joined Elon Musk’s Terafab project as a strategic partner alongside SpaceX, xAI, and Tesla. And earlier this month, the company was reported to have reached a preliminary agreement for Intel to manufacture some of Apple’s chips — a notable vote of confidence given Apple’s long-running reliance on Taiwan Semiconductor for its most advanced silicon. The U.S. government, meanwhile, holds roughly a 10% stake in Intel.



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