Nvidia CFO warns AI demand is pressuring gross margin, setting expectations for lower profitability next two quarters

Nvidia’s finance chief has warned that the company’s gross margin is likely to be squeezed in the next two quarters as the AI buildout accelerates and the mix of products and costs evolves. In a discussion picked up by Yahoo Finance, Nvidia’s CFO pointed to margin pressure as a byproduct of the current AI cycle rather than a one-off accounting issue, according to the report.

The guidance referenced in the report indicates to the market that Nvidia expects the economics of shipping and servicing the high-demand AI stack to be less favorable than what investors may have recently grown accustomed to. In practical terms, a lower gross margin means a smaller share of revenue translates into gross profit, even if revenue growth remains strong.

Although Nvidia has not, in the material cited here, quantified the drivers in detail or provided a full breakdown of what specifically changes in the cost structure, the report frames the issue as connected to the pace of AI-related deployments. That can include higher costs tied to ramping supply, accelerated logistics, or changes in product mix as customers move from early evaluation to larger-scale deployment.

The implication for the broader AI supply chain is that downstream hardware economics may be moving in step with Nvidia’s near-term margin expectations. The Yahoo Finance write-up explicitly links the CFO’s comments to a “green light” for Micron, a memory supplier whose business is closely associated with demand for high-bandwidth memory used in AI accelerators, although the underlying mechanism is not detailed in the excerpt available here.

Nvidia is still in a phase where it benefits from intense demand for GPUs (graphics processing units) and the data center platforms built around them. In this environment, investors often focus on not just revenue growth, but also the durability of gross margins as production volumes scale and the company navigates component availability.

In Nvidia’s case, the company’s gross margin can be sensitive to a range of factors common to hardware leaders serving fast-growing markets. Those include pricing dynamics, competitive conditions, the timing of shipments relative to cost absorption, and how much of the total revenue is tied to lower-margin segments versus higher-margin segments. The report’s core message is that Nvidia believes current conditions are producing a temporary headwind.

Still, what remains unclear from the information provided here is the magnitude of the gross margin decline and which particular cost or pricing line items drove the CFO’s view. Nvidia did not, in the cited discussion alone, disclose a granular bridge that would let outside analysts isolate labor, component costs, logistics, or mix effects.

Going forward, investors will likely watch Nvidia’s next two quarterly updates for (1) how quickly gross margin stabilizes, (2) whether guidance changes as AI deployments move through the ramp curve, and (3) whether the company’s product and supply strategy shifts to protect profitability while maintaining demand momentum. Any explicit commentary on margins in the earnings release would be key for reading how temporary the pressure is expected to be.