Nvidia CEO Jensen Huang staunchly defended the company’s escalating financial involvement in the artificial intelligence sector, rebuffing claims that its investments are merely a tactic to inflate its revenue figures. Speaking on CNBC’s “Mad Money” following a strong quarterly earnings report, Huang characterized these investments as a necessary response to the unprecedented capital demands of the current AI landscape.
“I believe they are missing a fundamental point,” Huang stated. “This is the first generation of startups that require tens of billions of dollars in funding to get off the ground. When was the last time anyone heard of a startup needing billions to launch and tens of billions to become profitable? This simply hasn’t happened before. But this is the inherent nature of AI. The cost of building AI, and crucially, the cost of deploying AI, is extraordinarily capital-intensive.”
Nvidia has experienced a surge in financial resources, largely propelled by its dominance in manufacturing the specialized chips essential for powering large language models like those behind OpenAI’s ChatGPT and similar sophisticated applications. Leveraging this financial windfall, the company has strategically invested across the AI ecosystem, extending its reach from foundational model developers such as OpenAI and Anthropic to burgeoning cloud providers that offer Nvidia-powered computing resources on a rental basis.
More recently, Nvidia has increasingly utilized its robust balance sheet to provide financial backing for substantial data center projects. A notable example includes a $105 billion commitment for a sprawling computing campus currently under development in Ohio, which will serve as a key tenant for OpenAI. Furthermore, Nvidia has forged partnerships with major Wall Street financial institutions to arrange up to $500 billion in financing for data center infrastructure.
These latest financial maneuvers have amplified concerns surrounding Nvidia’s role in underwriting the AI industry’s expansion. Critics argue that this support resembles “circular financing,” drawing parallels to the speculative and ultimately unsustainable funding arrangements seen during the dot-com bubble. In such circular deals, a company extends financing to its customers, who then use a portion of those funds to purchase the company’s products, raising questions about whether these arrangements are artificially stimulating demand and sales.
In his discussion with Jim Cramer, Huang countered these criticisms by emphasizing the sheer scale of capital required to establish and scale frontier AI companies. He explained Nvidia’s dual objective: to be an equity investor in these pioneering AI firms and to offer broader financial support where necessary.
“There are several companies, these frontier AI labs, that represent once-in-a-generation opportunities, and we aim to be investors in them,” Huang elaborated. “We want to support them. We want to be their partner. Naturally, we would love for them to build their ecosystems on our platforms and scale their businesses alongside us. Therefore, the opportunity to invest in them early on was a significant advantage.”
Huang also highlighted the financial realities faced by these burgeoning AI companies. “At this stage of AI development, they lack the financial profiles to secure the additional capital needed for compute resources. They are not investment grade. They do not possess the track record, the capital history, or the financial standing to access capital at a low cost. This is precisely where Nvidia can provide essential assistance,” he asserted.
Addressing concerns that Nvidia might bear the brunt of financial difficulties if one of its investment partners falters, Huang expressed confidence in the company’s risk mitigation strategies. He pointed out that Nvidia’s computing infrastructure is highly adaptable and can be redeployed across a diverse range of customers and workloads, thereby limiting its exposure to any single investment.
“The capital we have invested is poised to generate substantial returns,” Huang added. “I believe the associated risks are minimal.”
Nvidia’s latest financial disclosures further bolster Huang’s optimism regarding the underlying market demand. For the second quarter of fiscal year 2027, the company reported an impressive $96.2 billion in quarterly revenue, more than doubling its performance from the previous year. Data center revenue alone surged by 117% to reach $89 billion. Looking ahead, Nvidia projected continued robust growth, forecasting approximately 70% revenue expansion in fiscal year 2028.
Following the release of these strong results, Nvidia’s stock saw an approximate 4% increase in after-hours trading. While the stock has appreciated 12% year-to-date, this performance reflects broader market sentiment and investor considerations surrounding the broader AI trade.
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