Nvidia remains one of the most important companies behind the global artificial intelligence boom, but its latest results show that investors are beginning to approach the stock with greater caution. The company delivered exceptionally strong financial figures: revenue rose by 85% year on year to USD 81.6 billion, while its data centre segment generated USD 75.2 billion in sales. Its guidance for the next quarter was also impressive, pointing to approximately USD 91 billion in revenue, above market expectations. Even so, Nvidia shares fell in after-hours trading, highlighting a key point: for a company valued at such elevated levels, even very strong results may no longer be enough.
The central element of Nvidia’s story remains its dominance in AI infrastructure. The company is still the key supplier of chips used to train and run advanced artificial intelligence models, while its Blackwell platform is being presented by management as the fastest-growing product in Nvidia’s history. Jensen Huang has built a powerful narrative around the idea of “AI factories” — a new generation of computing infrastructure that could become the foundation of the digital economy. In this view, demand for computing power is not a short-lived investment cycle, but the beginning of a multi-year transformation of global technology infrastructure.
At the same time, Nvidia is trying to reduce its dependence on the largest data centre operators, known as hyperscalers. This is an important strategic direction, as a substantial share of the company’s revenue is currently tied to investment by the biggest technology groups. Nvidia is increasingly counting on demand from enterprises, governments and industrial customers that will deploy AI in manufacturing, public administration, robotics, automation and autonomous systems. Such diversification could reduce revenue concentration risk and extend the growth cycle beyond the current data centre boom.
The market responded positively in particular to Huang’s suggestion that artificial intelligence is moving beyond server rooms and entering the physical world. The concept of “physical AI” — covering robots, humanoids and autonomous vehicles — expands the potential addressable market not only for Nvidia, but also for the broader supply chain. That is why the company’s comments triggered strong gains among Asian memory, semiconductor, electronics and component manufacturers. Shares of Samsung, SK Hynix, TSMC, Hon Hai Precision, SoftBank and robotics-related companies such as LG Electronics and Hyundai Mobis all moved higher. This shows that investors are beginning to view the AI boom more broadly than through the lens of a single US company.
Asia plays a fundamental role in this story. A significant part of Nvidia’s supply chain is located there — from semiconductor manufacturing and memory production to hardware assembly and electronic components. If demand for AI continues to grow, the benefits may extend not only to producers of the most advanced chips, but also to companies supplying lower-cost semiconductors, memory, cooling systems, networking equipment and automation solutions. From a market perspective, this means investors are searching for the next beneficiaries of the AI trend, particularly in areas where valuations may be lower than Nvidia’s own.
This does not mean, however, that there are no risks. The biggest uncertainty remains China. Nvidia did not record revenue from China’s data centre market during the quarter, even though potential demand for AI in the country is very large. US export restrictions mean the company cannot fully address that market, while Nvidia itself has indicated that China could potentially generate tens of billions of dollars in annual revenue. The absence of a meaningful China contribution in the next-quarter outlook shows that management remains cautious and is not assuming a rapid resolution of regulatory challenges.
A second important risk is competition. AMD, Broadcom and Google are developing their own solutions, while Nvidia’s largest customers are working on proprietary chips to reduce their dependence on an external supplier. For now, Nvidia’s competitive advantage remains very substantial because the company offers not only graphics processors, but an entire ecosystem covering hardware, networking, software, AI models and complete computing systems. Over the longer term, however, customer pressure to reduce costs and the development of in-house chips could limit the pace of margin expansion or alter the structure of demand.
Investors are also watching costs. Nvidia continues to maintain very high profitability, with gross margin at around 75%, but the company is increasing spending on employees, infrastructure and new product development. At this stage, this is not yet a problem, as revenue growth remains exceptionally strong. The market will nevertheless monitor whether operating costs begin to rise faster than sales, especially once the pace of investment in data centres starts to normalise.
By the close of yesterday’s regular session, Nvidia shares had gained 1.3% compared with the previous day. After the results were announced, however, the stock lost 1.26% by the end of post-market trading. This reaction appears understandable. Nvidia did not disappoint operationally, but the bar had been set extremely high. The share price had already risen strongly, so some investors may have decided to take profits after the figures were published. A decline despite better-than-expected results does not signal weakness in the company’s fundamentals; rather, it shows that the market now expects Nvidia not only to grow, but to execute its expansion scenario almost perfectly.
In the long term, Nvidia’s investment story remains very strong. The company is a central player in the AI revolution, has an exceptional technological position and benefits from enormous demand for computing power. At the same time, its future valuation will depend on answers to several key questions: whether demand for AI can maintain its current pace; whether new areas such as robotics and physical AI will genuinely become major sources of revenue; whether export restrictions on China will act as a lasting brake on growth; and whether competitors and major customers will weaken the company’s advantage.
Nvidia remains the symbol of the current artificial intelligence wave, but the market is clearly moving from unconditional enthusiasm to a more selective assessment. The company’s fundamentals are strong, its forecasts remain ambitious and its long-term potential is enormous. At such high expectations, however, even excellent results may be considered insufficient if investors begin to fear slower growth, competitive pressure or geopolitical challenges. Nvidia is still the leader of the AI revolution, but it is also a company for which the market no longer forgives even the smallest sign of uncertainty.
Krzysztof Kamiński, OANDA TMS
