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Many read Nvidia's $1T fall in market value as a sign of fading AI demand. But the big cloud companies' spending plans run for years and are already signed. Makers of data center cooling and power gear get paid per AI chip installed, not on Nvidia's share price.
Source: Bloomberg ↗
Investors took Nvidia's falling share price as a sign that AI building would slow. Over 12-24 months, the two are largely separate. Microsoft, Google, Amazon and Meta have committed hundreds of billions to data centers through 2026. That money becomes AI chips in racks, and each rack needs cooling, power gear and dense cabling. Their suppliers are paid per unit shipped, not on Nvidia's market value. Investors are matching a big tech selloff to AI spending cuts, but these spending plans are signed and hard to reverse. In the fiber boom, Ciena and Corning kept shipping for 18 months after the Nasdaq peak, because the build-out was already under way. Here the chips are ordered and the racks are going up. Companies with over 30% of sales from data centers and several quarters of orders on hand stand to gain.
The market believes Nvidia's $1T drawdown signals that AI infrastructure spending is peaking or decelerating, making the entire AI supply chain risky. Investors are reducing exposure broadly across semiconductors and AI-adjacent names.
Why that may be wrong
Investors use Nvidia's falling share price as a stand-in for falling AI demand, but that link is wrong. Nvidia's stock moves on mood and on how much investors will pay for its earnings. Cloud companies' data center spending moves on board decisions with 18-36 month lead times. The two run on very different clocks. Investors apply the fast one, the share price, to suppliers whose sales follow the slow one, spending plans. That leaves cooling, power and connection suppliers cheaper than their order books justify, at least for a while.
The most likely way this fails is a real cut in cloud spending. If Microsoft, Google or Amazon clearly reduce their data center build plans in coming earnings calls, the case breaks at once. The warning sign would be any two of the four biggest cloud companies cutting announced spending plans by more than 10% in the same earnings season. That would mean the physical build-out is slowing, and not only Nvidia's share price.
Nvidia's falling value may be an early warning, not a late one. Big investors who watch supply chains closely may expect cloud spending delays before they are announced. The weakest assumption here is that cloud spending plans hold. Large cloud companies have slowed building in the past when returns disappointed. If revenue per AI chip installed misses internal targets at Microsoft Azure or Google Cloud over the next two quarters, spending cuts follow fast, and the case for these suppliers collapses. The result that would change the picture is Microsoft or Google cutting its spending forecast by more than 10% in its next earnings release.
The closest parallel is the 2000-2001 fall of Cisco and Nortel, versus Corning and Amphenol. Cisco fell 89% from its peak. Corning fell too, but its fiber shipments went on for 18 months after the peak, because phone companies had already ordered and were mid-build. A falling share price at the platform company does not at once stop a physical build-out already in motion. A second parallel came in the 2022 crypto collapse. Nvidia's chip sales to crypto miners dropped sharply, but cloud companies' demand for its chips was not affected, because the two pools of demand were separate. Here, cloud AI spending is the main source of demand, and it rests on multi-year plans rather than quarter-to-quarter mood.
Nvidia's stock falls about $1T in market value, bringing its valuation back to where it was before the AI boom. Mood across the AI supply chain turns negative as investors assume demand is collapsing.
Investors sell AI infrastructure suppliers in cooling, power delivery and dense connections along with Nvidia. They assume these suppliers' sales will shrink as Nvidia's valuation does. That link is wrong. Their sales come from AI chips already on order, not from how investors value Nvidia's future earnings.
US industrial and tech firms that supply data centers with cooling, power gear and fiber and copper links have orders filled for several quarters. Those orders come from cloud spending plans set before Nvidia's fall. As cloud companies confirm the plans over the next 1-2 quarters, these suppliers' low share prices could catch up. Vertiv and similar suppliers with over 30% of sales from data centers stand to gain.
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