Nvidia, CoreWeave, Vertiv: One AI Bet in Three Disguises

Nvidia booked $89 billion of its $96.2 billion fiscal second-quarter revenue from data centers — roughly 92% of the company, by one analyst's calculation. That single figure frames the question a new opinion piece puts to AI investors: how many of your holdings depend on the exact same spending decision?

The column, which ran after last week's selloff in AI-related shares, argues that owning Nvidia, CoreWeave and Vertiv looks like three different ways to invest in artificial intelligence. One sells chips, another rents computing capacity, and the third supplies power and cooling equipment. Each has a distinct business. But all three benefit from somebody choosing to spend more money on a data center. Investors spreading money across those businesses, the author writes, may be diversifying a company's risk while concentrating exposure to one investment cycle.

Last week's selloff made that distinction worth revisiting, per the piece. Concerns about data-center debt and higher borrowing costs unsettled AI-related shares. That does not mean demand is collapsing, or that these stocks will always move together. It does raise the question: how many holdings rely on a continuation of the same spending boom?

What does the overlap actually look like?

The author traces a hypothetical project. A cloud operator raises money, secures power and installs computing equipment. Its suppliers receive orders for processors, networking, power systems and cooling. Customers eventually pay to use the capacity. Those transactions produce revenue for different companies at different times — and they share a vulnerability. If funding becomes more expensive or a customer delays expansion, the effects travel through the whole project.

Nvidia shows how much a successful supplier can benefit. Data-center revenue more than doubled from a year earlier in the quarter ended July 26. The category extends beyond generative AI, so the percentage is not a precise measure of AI exposure. Nvidia also reported a 75% gross margin, demonstrating substantial profitability at its current scale.

CoreWeave illustrates the other side. Its second quarter showed $2.575 billion in revenue against $640 million in net interest expense — about a quarter of revenue. Its roughly $104 billion revenue backlog offered visibility into future business, but booking it as revenue depends on delivery and service availability requirements, the company noted. The cash gap is stark: CoreWeave generated $679 million in operating cash flow while spending $6.422 billion in cash on property and equipment, including capitalized internal-use software.

Vertiv Holdings provides a third set of economics. The power and cooling supplier reported second-quarter sales of $3.274 billion, up 24% year over year, with $1.1 billion in operating cash flow and a net cash position at quarter's end. Even so, Vertiv attributed minor revenue timing shifts to temporary supply-chain congestion and the phased execution of increasingly large projects. Deployment schedules can affect when suppliers record sales even during strong demand.

What does this change for your portfolio?

The author turns the distinction into three questions. First, what pays for each holding's growth? He offers a stress test: a hypothetical $100,000 portfolio with $10,000 in each of the three companies has no position over 10%, yet $30,000 rides on the build-out. If each position fell 30%, those holdings alone would subtract $9,000 — 9% of the starting portfolio value, assuming everything else held steady. That is a stress test, not a prediction.

Second, who needs fresh financing? Compare operating cash flow with investment spending, then examine debt maturities. Companies that fund expansion internally have more flexibility than those dependent on lenders or new shareholders — a difference that affects both downturn survival and how much of the future profits existing owners retain.

Third, what happens if growth merely slows? A share price built around rapid expansion can struggle when revenue keeps rising at a less impressive rate. The price paid matters alongside the quality of the underlying business.

The investment case for owning different parts of this market remains credible, the author notes. A supplier can serve competing operators; equipment upgrades create demand within existing facilities; choosing a power supplier avoids predicting which AI application wins. But customer diversity and spending-cycle diversity are different protections. As he puts it, "The real test is whether your portfolio can still hold up when its biggest shared assumption turns out to be wrong."