Nvidia has told investors that artificial intelligence spending is moving beyond a small circle of giant cloud companies, as the chipmaker tries to convince markets that its growth story still has room to run.
The California-based semiconductor group forecast quarterly revenue of about $91bn for the period ending in July, ahead of Wall Street expectations, while chief executive Jensen Huang outlined a broader vision for the company that includes enterprise AI systems, robotics and autonomous machines. The results reinforced Nvidia’s position at the centre of the AI infrastructure boom, even as investors reacted cautiously to another blockbuster quarter.
Shares slipped in after-hours trading despite stronger guidance and a sharp increase in shareholder returns, a sign that markets are beginning to demand evidence that Nvidia can sustain its pace of expansion as competition intensifies.
Data Centre Revenue Keeps Climbing
Nvidia reported revenue of $81.6bn for the quarter ended April 26, an 85% increase from a year earlier. Adjusted earnings reached $1.87 a share, above analyst forecasts, while adjusted gross margin came in at 75%.
The company’s data centre division remained the dominant engine of growth, generating $75.2bn in sales. Networking products within that unit contributed $14.8bn, reflecting continued demand for AI server infrastructure from large cloud computing providers.
Huang said the “build-out of AI factories” was accelerating globally as governments and businesses race to expand computing capacity for artificial intelligence applications. Nvidia has benefited heavily from spending by hyperscalers including Amazon, Microsoft, Alphabet and Meta, which collectively are expected to invest hundreds of billions of dollars in AI infrastructure this year.
But management stressed that future growth will increasingly come from corporations, national governments and industrial users deploying AI systems outside traditional cloud environments. Huang also pointed to “physical AI”, including robotics and automated vehicles, as a long-term opportunity for Nvidia’s hardware and software portfolio.
The company expanded shareholder payouts by raising its quarterly dividend to 25 cents a share from one cent and authorising $80bn in stock buybacks.
Rivals Are Closing In on the AI Market
Nvidia still dominates the market for AI accelerators, the specialised processors used to train and run large language models, but competitive pressure is building across the semiconductor sector.
Advanced Micro Devices has expanded its AI chip offerings, while Broadcom and Google continue developing custom silicon for large-scale AI workloads. Several major Nvidia customers are also designing proprietary processors to reduce dependence on external suppliers.
That shift matters because Nvidia’s extraordinary valuation depends on maintaining both pricing power and market leadership as AI spending matures. According to Bloomberg Intelligence estimates cited by analysts, Nvidia could generate more than $370bn in annual revenue this year, making it one of the largest semiconductor companies in history by sales.
Industry analysts have increasingly focused on whether AI demand can broaden beyond hyperscalers. Research firm IDC estimated earlier this year that enterprise AI infrastructure spending could grow at a compound annual rate above 20% through the end of the decade as banks, healthcare providers, manufacturers and governments deploy AI systems internally.
Nvidia appears determined to position itself for that transition. Beyond graphics processors, the company now sells networking systems, CPUs, AI software tools and complete computing platforms, allowing it to capture a larger share of customer spending. Huang said Nvidia expects to generate roughly $20bn in CPU revenue this year alone.
China Remains a Missing Piece
One unresolved challenge remains China, historically one of the semiconductor industry’s largest markets.
US export restrictions on advanced AI chips have sharply limited Nvidia’s business in the country. Although the Trump administration has recently allowed some older Nvidia products back into the Chinese market, local technology groups and policymakers are accelerating efforts to support domestic suppliers.
Nvidia said it currently receives no data centre revenue from China, despite previously estimating the market could eventually represent a $50bn annual opportunity.
Investors will now watch whether Nvidia can successfully diversify its customer base while defending its dominance against rivals building alternative AI hardware. The next phase of the AI boom may depend less on a handful of technology giants and more on whether mainstream industries are willing to invest at the same scale.
