Nvidia Earnings: Can the AI Giant Still Surprise the Market?

25 August 2026

Nvidia reports tomorrow after the US market close. The numbers are expected to be massive. The real question is whether they will be massive enough.

Nvidia (NASDAQ: NVDA) has become the clearest barometer of the global AI investment boom. Analysts expect roughly US$92 billion in quarterly revenue, almost double the US$46.74 billion reported a year earlier. Nvidia has also beaten its own guidance for 13 consecutive quarters.

Yet the stock enters tomorrow’s results under pressure, having fallen for seven straight sessions and sitting roughly 9% below its 52-week high.

That sets up a familiar but increasingly difficult test for Nvidia: Can the world’s leading AI chipmaker continue to beat expectations when expectations are already enormous?

The AI Boom Runs Through Nvidia

Nvidia is no longer simply a chipmaker.

Its GPUs power AI training and inference across the world’s largest data centres, while its platform has expanded to include CPUs, networking and complete rack-scale systems.

The result is an increasingly integrated AI infrastructure business.

In Q1 FY2027, Nvidia generated a record US$81.6 billion in revenue, up 85% year-on-year. Data centre revenue surged 92% to US$75.2 billion.

CEO Jensen Huang has described the current environment as an unprecedented infrastructure buildout.

Tomorrow’s results will show whether that buildout is still accelerating.

Three Numbers That Could Matter More Than the Headline Beat

1. US$92 Billion — and What Comes Next

Analysts expect Nvidia to report around US$92 billion in revenue.

A beat would hardly be surprising. The bigger test could be the company’s next-quarter guidance.

Analysts are already looking for roughly US$104 billion in Q3 FY2027 revenue. If Nvidia delivers another aggressive outlook, it could reassure investors that AI spending remains on an upward trajectory.

If guidance merely meets expectations, however, the market could take a very different view.

For Nvidia, beating the past may no longer be enough. It has to beat the future.

2. Are the Hyperscalers Still Spending?

The biggest customers in the AI infrastructure race are still spending heavily.

Microsoft, Alphabet, Amazon and Meta are collectively expected to spend roughly US$725 billion on capital expenditure in 2026, compared with about US$410 billion in 2025.

Nvidia captures an estimated 40% of this spending and holds roughly 80–88% of the AI accelerator market by revenue.

That makes Nvidia’s earnings more than a company-specific event.

They are effectively a report card on the AI capex cycle.

If hyperscalers continue increasing spending, Nvidia’s growth runway could remain intact. If spending begins to slow, investors may start asking whether the first phase of the AI infrastructure boom is approaching maturity.

3. What Happens After Blackwell?

The next chapter is already taking shape.

Nvidia’s Vera Rubin platform entered full production in June 2026, with the company targeting major improvements in AI inference and training efficiency.

Nvidia says Rubin can reduce inference token costs by up to 10x and reduce the number of GPUs needed to train certain mixture-of-experts models by up to 4x versus Blackwell.

AWS and Google Cloud have confirmed early deployments, while Microsoft has committed to large-scale Rubin rollouts.

The question for investors is whether Rubin can trigger another powerful upgrade cycle — similar to the one that drove demand for Blackwell.

But there is an important distinction: needing fewer GPUs does not automatically mean spending four times less. Rubin GPUs are expected to command higher prices, meaning the actual reduction in total infrastructure costs could be considerably smaller.

Why Is Nvidia Falling Before Earnings?

For a company at the centre of the AI boom, Nvidia’s recent share-price action is notable.

The stock has suffered a seven-session losing streak, its longest since September 2022.

Shares are now around 9% below their 52-week high of US$236.54 and are trading around the 50-day simple moving average.

So far, the decline does not look like outright panic. Trading volume remains broadly around its average of roughly 99 million shares a day.

That makes tomorrow’s reaction even more important.

A strong report accompanied by bullish guidance could potentially reignite momentum. But if Nvidia delivers numbers that are merely “good enough”, the market may continue to punish the stock for failing to exceed already elevated expectations.

Nvidia Has Already Learned That a Beat Can Still Mean a Selloff

This is perhaps the biggest lesson heading into tomorrow.

Nvidia has beaten consensus estimates in each of its last four quarters.

The stock still fell after every release.

Why?

Because investors aren’t simply asking whether Nvidia is growing. They are asking whether growth is accelerating fast enough to justify the expectations built into a roughly US$5.2 trillion company.

Two areas could therefore attract particular attention.

One is China. Data centre chip revenue from China is currently at US$0, and any change could have implications for Nvidia’s addressable market.

The other is customer diversification. In Q1, non-hyperscaler demand was already close to hyperscaler demand, at roughly US$37 billion versus US$38 billion.

If that trend continues, it could suggest Nvidia’s growth is becoming less dependent on the spending plans of a handful of technology giants.

The Bigger Question: How Long Can This Growth Last?

This is where the Nvidia debate becomes much bigger than one earnings report.

Since ChatGPT launched in late 2022, Nvidia’s annual sales have grown roughly ninefold, from around US$30 billion to approximately US$253 billion.

The obvious question is whether that pace can continue.

One argument is that hyperscalers will eventually complete their initial AI data centre buildouts, causing spending growth to slow.

The counterargument is that AI infrastructure could develop its own replacement cycle. Equipment installed during 2023–2025 could require significant upgrades from 2027 onwards.

And beyond today’s AI data centres lies another potential growth opportunity: physical AI, including autonomous vehicles and eventually robotics.

If those markets develop as Nvidia expects, today’s infrastructure boom could be only the first phase of a much longer investment cycle.

The Risks Behind the AI Story

Nvidia’s growth story is powerful, but investors are also watching the cracks.

Circular financing: Some Nvidia customers have received direct or indirect funding connected to purchases of Nvidia products, raising questions over how sustainable some AI infrastructure demand may be.

Customer economics: Much of the AI infrastructure spending ultimately traces back to private AI companies such as OpenAI and Anthropic. Their future financial disclosures and potential IPOs could provide a clearer picture of whether AI demand is translating into sustainable economics.

Competition: AMD, Amazon, Alphabet and Intel are all developing competing AI chips. Nvidia’s ecosystem and performance advantages remain significant, but lower-cost alternatives could become increasingly attractive for certain inference workloads.

Nvidia’s Answer: Don’t Look at the Chip Price

Nvidia’s argument is increasingly centred on total cost of ownership.

A competitor’s chip may cost less upfront, but Nvidia argues that its integrated systems can deliver better economics when power consumption, data centre space, networking and performance are taken into account.

The company is also betting that AI is moving into a new phase.

Instead of businesses simply experimenting with AI, agentic AI could increasingly perform real commercial tasks — from customer support to other business processes.

If AI starts generating measurable returns for companies, the argument for continued infrastructure spending becomes much stronger.

And that could be the most important question of all:

Is AI still a technology investment story — or is it becoming an economic productivity story?

What Nvidia’s Earnings Could Mean for the Market

Tomorrow’s report could move far more than Nvidia.

A stronger-than-expected outlook could reinforce confidence in the broader AI investment cycle, benefiting semiconductor, networking and data centre stocks.

A disappointing outlook could have the opposite effect, raising questions about whether hyperscaler capital expenditure is approaching a peak.

For investors, the headline revenue number will matter.

But the real signals may come from guidance, hyperscaler demand, Rubin adoption and the sustainability of AI spending.

With Nvidia now at the heart of the AI economy, tomorrow’s earnings could offer one of the clearest indications yet of where the next phase of the AI boom is heading.

Trade Nvidia After the Earnings Announcement

Nvidia’s earnings will be released on Wednesday, 26 August, after the US market close.

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