Nvidia's quarterly report will set the course for the AI hardware market

When one company becomes synonymous with an entire industry, each of its earnings reports turns into a global event. That is where Nvidia finds itself on the eve of its fourth-quarter results. The figures Jensen Huang will announce will do more than set the mood for one corporation's shareholders: they will set the tone for the whole AI hardware market for months to come.

One number is enough to grasp the scale: since 2022, Nvidia's shares have risen by more than 1500 percent. That is not a typo. A company associated for decades with video games and professional graphics has become, within a few years, one of the most valuable technology corporations on the planet. The reason is simple and well known: generative artificial intelligence. When OpenAI, Google, Meta*, Anthropic and dozens of other companies started racing to build ever more powerful language models, it turned out that Nvidia's graphics processors suited the job best. The CUDA architecture, the developer ecosystem and years of groundwork in parallel computing combined into a near-monopoly advantage.

Today Nvidia GPUs power practically all generative AI infrastructure. The largest training clusters, where GPT- and Gemini-scale models are trained, are built on H100-series accelerators and their successors. Inference, the process in which a trained model generates answers in real time, also runs overwhelmingly on Nvidia hardware. Cloud providers such as Amazon Web Services, Microsoft Azure and Google Cloud buy chips by the tens of thousands, and delivery queues stretch for months. The company has effectively become the bottleneck of the entire AI industry: without its products, you can neither train a new model nor deploy an existing one at industrial scale.

But that is also where the main risk lies. The market has already priced colossal growth expectations into Nvidia's stock. Investors assume that demand for AI accelerators will grow exponentially for several more years. Any sign of a slowdown, whether slower revenue growth, cautious guidance from management, or hints that the biggest customers are starting to optimize infrastructure spending, can trigger a sweeping correction. And not only in Nvidia's own shares, but across the semiconductor sector and AI startups, whose valuations are largely tied to the general optimism around artificial intelligence.

There are also structural questions the market wants answered. Competition in AI chips is intensifying. AMD keeps gaining share with its Instinct accelerators, Google is developing its own TPUs, Amazon is building Trainium chips, and dozens of startups, from Cerebras to Groq, offer alternative architectures optimized for specific workloads. So far no competitor has seriously shaken Nvidia's dominance, but the question is how long that will last. Large cloud companies have a strategic interest in diversifying their suppliers, and every quarter they pour billions into developing their own solutions.

Geopolitics is a separate matter. US export restrictions on advanced chips bound for China keep tightening, and Nvidia has to balance compliance with sanctions against keeping access to one of the largest markets. Each new round of restrictions cuts the company off from potential revenue worth billions of dollars. In the report, investors will closely examine the geographic breakdown of sales and management's comments on the impact of the regulatory environment.

There is also a more fundamental question: how durable is demand for AI computing power itself? Skeptics point out that a significant share of GPU purchases is funded by venture capital and corporate experimentation budgets. If AI startups do not start generating sustainable revenue, and corporations do not see convincing returns on their AI investments, the wave of purchases may recede. Optimists counter that we are only at the beginning of a transformation comparable to the arrival of the internet, and that current investment volumes are only a small fraction of what is still to come.

Nvidia's quarterly report will not give a final answer to all these questions. But it will be a key indicator of where the AI hardware market sits in the cycle: in a phase of sustained growth or approaching a peak of expectations. For the whole technology industry, from Silicon Valley giants to Russian AI teams buying computing capacity in the cloud, these figures will have very tangible consequences. Nvidia long ago stopped being just a chip maker. It has become a barometer of humanity's faith in the future of artificial intelligence.

*Meta has been designated an extremist organization and is banned in the Russian Federation.