NextFin News - Nvidia reported a net income of $42.96 billion for its fiscal first quarter, more than doubling the $18.8 billion recorded a year earlier, yet the market’s reaction remains uncharacteristically muted. Despite data center revenue surging 87% to $73.1 billion, the stock has struggled to recapture the explosive momentum that defined its 2024 and 2025 rallies. The chipmaker now finds itself in a paradoxical position where record-breaking financials are increasingly viewed as the baseline rather than a catalyst for further gains.
The primary driver of this cooling sentiment is the transition from the "build-out" phase of artificial intelligence to the "monetization" phase. While U.S. President Trump’s administration has maintained a rigorous stance on technology exports, particularly to China, Nvidia has successfully pivoted its focus toward domestic and European data center clients. However, the sheer scale of previous growth has created a "law of large numbers" problem. According to Beth Kindig of the I/O Fund, Nvidia is currently entering what she calls the "AI Monetization Supercycle," driven by the inference phase of AI. Kindig, who has long maintained a bullish stance on Nvidia and was an early proponent of its data center potential, argues that the market is failing to price in the recurring revenue potential of the Blackwell and Blackwell Ultra architectures.
Kindig’s perspective, while influential among tech-focused growth investors, is not yet the consensus on Wall Street. Many sell-side analysts remain cautious about the sustainability of triple-digit growth rates. The recent quarterly results showed that while revenue is still climbing, the rate of expansion is decelerating; the 87% jump in data center revenue, though massive, follows a period where triple-digit gains were the norm. This deceleration has led some institutional desks to reallocate capital toward "AI-adjacent" sectors like power infrastructure and software services, where valuations are less demanding.
To reignite investor fervor, Nvidia is increasingly leaning on its software ecosystem. The company’s software and services segment has reached a $13 billion annualized revenue run rate, up from just $1 billion in 2023. This shift toward high-margin, recurring revenue is intended to decouple the stock from the cyclicality of hardware sales. By locking developers into the CUDA platform and offering proprietary AI enterprise software, Nvidia aims to transform from a component supplier into a full-stack computing company. This transition is critical as competitors like AMD and custom silicon efforts from Big Tech firms begin to chip away at Nvidia’s hardware dominance.
Geopolitical headwinds continue to serve as a significant drag on valuation multiples. The Trump administration’s April decision to require specific licenses for chip exports to China and several other nations has effectively shut Nvidia out of a market that once accounted for 20% of its data center revenue. While the company has managed to offset these losses through increased demand from U.S. cloud providers, the permanent loss of the Chinese market limits the "blue sky" scenario that many investors had previously baked into the stock price. Furthermore, a global memory shortage has forced the company to prioritize its high-end Blackwell GPUs over its GeForce gaming line, alienating a core consumer base and tightening supply chains.
The path forward for Nvidia likely depends on whether it can prove that AI demand is not just a front-loaded infrastructure spend but a permanent shift in corporate capital expenditure. If the "inference phase" Kindig describes results in a second wave of hardware orders as companies move models from training into production, the current stagnation may prove to be a temporary consolidation. However, if the ROI on AI investments for Nvidia’s customers fails to materialize by the end of 2026, the pressure on the company’s premium valuation will only intensify.
Explore more exclusive insights at nextfin.ai.
