The common thread in this quarter's batch of Big Tech results is that AI infrastructure spending is still accelerating, not leveling off, and it is now the single largest force shaping earnings across very different layers of the US technology stack. Applied Materials and Cisco both came in above expectations, and both attributed the strength to AI demand rather than to a broad-based recovery in their legacy businesses. That distinction matters: it tells US investors that the current tech expansion is narrower and more concentrated than headline growth rates suggest.
A Chip Equipment Maker Beating Its Own Cycle
Applied Materials reported fourth-quarter adjusted earnings of $4.16 per share on revenue of $10.41 billion, with revenue up 53% year over year, as SiliconANGLE reported. For a company that supplies the machinery used to fabricate semiconductors, that growth rate is far outside the ranges the industry normally associates with a mature capital equipment business. Equipment vendors are usually the most cyclical part of the semiconductor supply chain, the first to feel a downturn and the last to recover. A 53% revenue jump, on the strength of the AI buildout, indicates that chipmakers are not merely running existing capacity harder but committing to new capacity at a pace that would have looked implausible in a non-AI cycle. The beat was on both earnings and revenue, which suggests the strength is showing up in pricing and mix, not only in volume.
Cisco as the Networking Bellwether
Cisco's first quarter of fiscal 2027 produced record revenue and earnings, the company's best growth rates in more than 15 years, and management raised its full-year outlook along with its AI infrastructure expectations, per SiliconANGLE. Cisco is a useful test case because it sits closer to the enterprise customer than the pure chipmakers do. Its results say that the AI spending wave has moved past the hyperscalers buying accelerators and into the networking layer that connects data centers and enterprise sites. When a company with Cisco's scale posts its fastest growth in more than a decade and a half, the demand is coming from a broad enough set of buyers to lift the whole franchise, not just one product line. The raised outlook is the more important signal, because it means management expects the current order pattern to persist rather than to represent a pull-forward.
The Same Tailwind, Very Different Exposure
The two results together describe a supply chain that is being pulled from the top down. Chipmakers need equipment, which lifts Applied Materials; data centers need networking, which lifts Cisco. But the growth rates diverge sharply, and so does the durability of each position. Equipment orders can be deferred if a fab build slips, while networking attach tends to follow deployment schedules. Neither company is a pure AI play, and that is precisely what makes the numbers interesting: mature franchises are being re-rated by a demand driver that did not exist at their current scale a few years ago. For US technology investors, the lesson is that AI exposure is not confined to the marquee names. It now runs through industrial suppliers and networking incumbents whose businesses were long treated as low-growth.
