Nvidia is heading into a crucial earnings report as investors assess whether its next-generation Vera Rubin platform can sustain the extraordinary growth that has made the chipmaker the biggest beneficiary of the global AI infrastructure boom. Analysts expect second-quarter revenue to reach around $92.18 billion, nearly double the year-earlier figure, while data-centre revenue is expected to more than double. But alongside the strong demand outlook, investors are increasingly questioning whether the enormous AI spending cycle is sustainable and whether Nvidia’s growing role in financing the very ecosystem that buys its chips could create risks.
Nvidia’s shares have gained 11.8% so far in 2026, but have lagged several major technology rivals and briefly lost its position as the world’s most valuable company to Apple last month. The upcoming results are therefore being closely watched not only for near-term revenue growth but also for signals about the next phase of the AI infrastructure cycle.
A major focus will be the transition from Nvidia’s Blackwell architecture to its next-generation Vera Rubin processors, with shipments expected to begin this autumn. Analysts expect Nvidia to provide investors with greater visibility into how quickly Rubin can scale and whether it can deliver another significant improvement in AI computing economics.
The stakes are particularly high because global AI infrastructure spending continues to expand rapidly. Big Tech companies are expected to spend more than $730 billion on data centres this year, while specialised AI cloud providers such as CoreWeave are also increasing infrastructure investment. Nvidia remains deeply connected to this expansion as both a leading chip supplier and an investor in parts of the AI ecosystem.
Growing scrutiny over Nvidia’s financing role
Nvidia’s financial involvement in the AI ecosystem has become an increasingly important issue for investors. The company recently helped arrange $500 billion in financing from six major US financial institutions for customers developing AI infrastructure. It also agreed to provide guarantees of up to $105 billion connected to OpenAI’s planned long-term data-centre leasing arrangements in Ohio.
These moves have raised concerns about so-called circular financing, where companies involved in the AI supply chain provide capital that ultimately supports demand for their own products. Investors worry that such structures could make the AI spending boom appear stronger than underlying end-user demand and potentially increase financial exposure across the technology ecosystem.
Brian Mulberry, chief market strategist at Zacks Investment Management, described Nvidia as becoming almost a central-banking-like figure within the AI sector, highlighting the concentration of AI exposure as a key risk. The underlying question for investors is whether companies will continue generating enough revenue from AI applications to justify the enormous infrastructure investments being made today.
Nvidia CEO Jensen Huang has defended the strategy, arguing that the company’s substantial cash resources can be used to support rapidly growing AI customers that may not yet be profitable. Huang has also rejected the idea that Nvidia’s Ohio data-centre support represents circular financing, saying OpenAI will ultimately pay the associated lease costs and that Nvidia is helping secure long-term infrastructure capable of hosting its chips for decades.
Rubin becomes the next major growth engine
Beyond financing concerns, Nvidia faces a growing competitive challenge. Major technology companies are developing their own custom AI accelerators, while AMD and Intel are competing in the inference market, where AI systems process queries and generate responses.
The Rubin platform could therefore become critical to Nvidia’s ability to maintain its technological lead. Morgan Stanley analysts estimate Rubin could generate nearly $9 billion in sales in the third quarter, although the impact will depend on how quickly customers transition from Blackwell and how successfully Nvidia maintains market share against AMD and internally developed chips from major technology companies.
Analysts currently expect Nvidia’s third-quarter revenue forecast to rise approximately 82.8% year over year to $104.20 billion, with adjusted gross margins expected to remain around 75% in the second and third quarters.
The earnings report will ultimately provide investors with two very different signals to watch: whether AI demand remains powerful enough to support Nvidia’s extraordinary revenue growth, and whether the company’s increasingly important role in financing AI infrastructure introduces risks that could eventually undermine that growth.
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