GOOD MORNING, Nvidia gave the market what it wanted: another huge quarter, a $108 billion next-quarter revenue guide and a long-range growth outlook that pushed its shares up 8.7% and lifted the Nasdaq 1.6%. But the more interesting story sits underneath the numbers. AI demand is still accelerating while the infrastructure needed to serve it is becoming more expensive, more capital-intensive and more dependent on creative financing. That makes Friday's Jackson Hole speech from Fed Chair Kevin Warsh the next test: the AI earnings story just got stronger, but the cost of funding it still matters. MARKETS | TLDR
AI DEMANDNvidia Just Raised the Ceiling on the AI TradeNvidia reported second-quarter revenue of $96.2 billion, up 106% from a year earlier, with Data Center revenue reaching $89.0 billion, up 117%. The company expects roughly $108 billion of revenue in the third quarter and gave investors something even more important than another quarterly beat: a preliminary expectation for fiscal 2028 revenue to grow about 70% year over year. Nvidia shares jumped 8.7%, while the semiconductor index gained 2.3%. That long-range signal matters because the core debate around AI has shifted. The question is no longer whether companies are buying GPUs today; Nvidia's numbers answer that clearly. The question is how long the buildout can keep compounding at a pace that justifies current valuations and capital spending. Morgan Stanley noted that Nvidia's 70% fiscal 2028 growth expectation sits well above its own 52% estimate and a consensus closer to 40%, giving investors evidence that the infrastructure cycle may have more runway than feared. There is still a physical constraint. Nvidia has warned that shortages of memory components could limit how fast the industry grows even when customer demand is there. That turns the next phase of the AI trade into a supply-chain and capital-allocation story: GPUs, memory, networking, power and data centers all have to scale together. Nvidia proved demand is still expanding; now the rest of the stack has to keep up. AI FINANCINGNvidia Is Selling Chips — and Helping Finance the BuyersNvidia has paused some revenue-sharing agreements with smaller AI cloud companies that were part of a financing program launched less than two months ago, according to a Wall Street Journal report cited by Reuters. Under the model, Nvidia could provide credit in exchange for a share of revenue generated using its hardware and, in some cases, guarantee to repurchase unused computing capacity. The company said the broader business model remains in place and is evolving as demand grows. The structure matters because it blurs the traditional line between supplier and financier. Nvidia has helped arrange hundreds of billions of dollars of financing across the AI ecosystem and has guaranteed up to $105 billion to help OpenAI lease data-center capacity. That can accelerate infrastructure deployment and expand the customer base, but it also makes the quality of demand harder to evaluate when the chip supplier is helping create the financing conditions that allow customers to buy more compute. The pause does not prove demand is artificial, and Nvidia's quarterly results point in the opposite direction: end-market demand remains extremely strong. But it adds a second question to the AI trade. Investors now have to track not only how many chips customers want, but also how those customers finance the buildout and how much economic risk moves back toward Nvidia when it helps support the ecosystem around its own products. HEADLINES
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DEEP INSIGTHSNVIDIA Q2 FY2027 ResultsRead the full release for the details beneath the headline beat: Data Center revenue rose 117%, third-quarter guidance reached roughly $108 billion and management's preliminary fiscal 2028 growth view extends the AI-demand argument well beyond the current quarter. Marvell Q2 FY2027 ResultsMarvell is useful as a second lens on the AI stack. Record revenue, 37% year-over-year growth and a $3.15 billion Q3 guide show how spending on custom silicon, interconnect and data infrastructure is broadening beyond GPUs — and where investors can look for confirmation that Nvidia's growth is pulling an ecosystem with it. |