Nvidia remains one of the most important companies behind the global artificial intelligence boom, but its latest results show that investors are beginning to view the company with greater caution. The company reported very strong financial figures: revenue rose by 85% year on year to USD 81.6 billion, while the data centre segment generated USD 75.2 billion in sales. Its guidance for the next quarter was equally impressive, with revenue expected to reach around USD 91 billion, above market expectations. Despite this, Nvidia shares fell in post-market trading, clearly showing that for a company valued so highly, even very strong results are no longer enough.
The key element of Nvidia’s story remains its dominance in AI infrastructure. The company is still the main supplier of chips used to train and run advanced artificial intelligence models, while its Blackwell platform is presented by management as the fastest-ramping product in the company’s history. Jensen Huang is building Nvidia’s narrative around “AI factories” — a new generation of computing infrastructure that is expected to become the foundation of the digital economy. In this vision, demand for computing power is not a short-term 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, or hyperscalers. This is an important strategic direction, as a large share of the company’s revenue is currently linked to investment by the biggest technology groups. Nvidia is increasingly counting on demand from enterprises, governments and industrial customers that will implement 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 particularly positively to Huang’s suggestions that artificial intelligence is moving beyond server rooms and beginning to enter 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 wider supply chain. This is why the company CEO’s comments triggered strong gains among Asian producers of memory, chips, electronics and components. Shares of Samsung, SK Hynix, TSMC, Hon Hai Precision, SoftBank and robotics-related companies such as LG Electronics and Hyundai Mobis all rose. This shows that investors are beginning to look at 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 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 cheaper chips, memory, cooling systems, networking equipment and automation solutions. From the market’s perspective, this means investors are looking for the next beneficiaries of the AI trend, especially where valuations may be lower than Nvidia’s own.
However, this does not mean there are no risks. The biggest uncertainty remains China. Nvidia recorded no revenue from the Chinese data centre market during the quarter, even though potential demand for AI in the country is very large. US export restrictions prevent the company from fully taking advantage of that market, while Nvidia itself indicates that China could potentially generate tens of billions of dollars in annual revenue. The absence of a significant Chinese contribution in the forecast for the next quarter shows that management remains cautious and is not assuming a rapid resolution of regulatory problems.
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 in order to reduce their dependence on an external supplier. For now, Nvidia’s advantage remains very large because the company offers not only graphics processors, but an entire ecosystem covering hardware, networking, software, AI models and complete computing systems. In the longer term, however, customer pressure to reduce costs and the development of in-house chips could limit margin growth or change 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 because revenue growth remains impressive. However, the market will closely monitor whether operating costs start rising faster than sales, especially once the pace of data centre investment begins to normalise.
The company’s shares gained 1.3% by the previous day’s close. After the results were announced, however, they lost 1.26% by the end of post-market trading. This market reaction appears understandable. Nvidia did not disappoint operationally, but the bar had been set exceptionally high. The share price had risen strongly earlier, so some investors may have taken profits after the data were published. A fall in the stock despite better-than-expected results does not indicate weak fundamentals, but rather shows that the market now expects Nvidia not only to grow, but to execute its future expansion almost perfectly.
In the long term, Nvidia’s story remains very strong. The company is a central player in the AI revolution, has a unique technological position and benefits from enormous demand for computing power. At the same time, its future valuation will depend on several key questions: whether demand for AI can maintain its current pace; whether new areas such as robotics and physical AI will truly become major sources of revenue; whether export restrictions on China will permanently slow growth; and whether competitors and the company’s largest customers will weaken Nvidia’s advantage.
Nvidia remains the symbol of the current wave of artificial intelligence, but the market is increasingly moving from unconditional enthusiasm to a more selective assessment. The company’s fundamentals are strong, its forecasts remain highly ambitious and its long-term potential is enormous. At the same time, with expectations so high, even excellent results may be considered insufficient if investors begin to fear slower growth, competitive pressure or geopolitical problems. Nvidia therefore remains the leader of the AI revolution, but it is also a company for which the market no longer forgives any signs of uncertainty.
