Nvidia Forecasts 70% Sales Growth as the AI Boom Refuses to Slow

New York, 27 August 2026, 10:00 BST — EBM Newsdesk Analysis — By Nick Staunton

Nvidia has just delivered the strongest possible answer to those betting that the artificial intelligence boom is beginning to run out of steam: it expects sales to rise by roughly 70% next year.

For a company already operating at a scale that would have seemed absurd only a few years ago, the forecast is extraordinary. Nvidia generated $96.2 billion in revenue in its latest quarter, with its data-centre business reaching $89 billion, and expects $108 billion in the current quarter. Its latest outlook suggests that the AI infrastructure spending cycle is not merely continuing — it is accelerating.

That matters because Nvidia is no longer simply another technology company benefiting from an exciting new trend. As Nvidia’s ascent from silicon specialist to AI powerhouse demonstrated, the company has become the essential infrastructure provider for an industry now reshaping the global economy.

The question is no longer whether AI requires enormous computing power. Nvidia’s latest numbers suggest that demand is already overwhelming supply.

Demand Is Not the Problem

The most revealing part of Nvidia’s outlook is that its biggest constraint is not finding customers.

It is finding enough components.

A shortage of advanced memory is placing pressure on the company’s ability to expand production and is expected to weigh on gross margins. That is a remarkable problem for a business of Nvidia’s scale: demand remains so strong that the global semiconductor supply chain is struggling to keep pace.

This is the logical next chapter from why Nvidia built the entire AI economy. Nvidia’s real advantage is not simply that it makes powerful chips. It sits at the centre of an ecosystem that now includes cloud companies, AI laboratories, data-centre operators and governments all competing for the same computing capacity.

Amazon Web Services is among those continuing to expand aggressively, while Meta, Google and Microsoft are also spending unprecedented sums on AI infrastructure.

For Europe, however, the implications are more uncomfortable.

As Europe’s growing dependence on American AI chips has highlighted, the continent wants technological sovereignty while remaining heavily dependent on infrastructure controlled outside Europe. Nvidia is American. Advanced manufacturing is concentrated in Asia. ASML may be Europe’s most strategically important company in the semiconductor supply chain, but it does not manufacture the chips Europe increasingly needs.

The Bubble Question Is Changing

Nvidia’s forecast should force a rethink among those predicting an imminent collapse in AI spending.

The spending is real. The revenues are real. And the demand for computing capacity is clearly enormous.

But that does not mean the risks have disappeared.

Nvidia has faced criticism over the increasingly complex financial relationships developing across the AI ecosystem, including concerns about so-called circular financing. The company argues that its investments and commitments are supported by genuine commercial demand.

The EBM view is that the real danger is not an AI bubble in the simplistic sense. Artificial intelligence is clearly becoming economically important. The greater risk is that companies competing to dominate the market build far more infrastructure than their eventual revenues can justify.

That distinction is crucial.

As the recent AI trade sell-off showed, markets can turn against even the strongest companies when investors begin questioning how much future growth has already been priced into today’s valuations.

Nvidia is currently in an enviable position because it is selling the equipment everyone else believes they need. But the companies buying those chips face a much harder test: proving that hundreds of billions of dollars in capital expenditure will ultimately generate sustainable returns.

Europe’s Opportunity — and Its Problem

The AI boom is not simply a Silicon Valley story. It is becoming a global industrial race involving semiconductors, energy, data centres and national strategy.

The UK has already attracted major commitments from Nvidia and other American technology companies, as the debate over the UK-US tech prosperity deal demonstrated. But attracting investment is not the same as controlling the technology on which future industries depend.

Europe’s challenge is therefore bigger than building more data centres. It must decide where it can genuinely compete in the AI supply chain — from specialised chips and semiconductor equipment to energy infrastructure and enterprise applications.

Nvidia Is Winning. Everyone Else Is Taking the Bigger Gamble

Nvidia’s 70% growth forecast is powerful evidence that the AI boom remains alive and well.

Indeed, it reinforces the argument made in EBM’s analysis of the AI investment opportunity: the companies providing the essential infrastructure remain in the strongest position.

But Nvidia’s success should not be confused with a guarantee that the entire AI ecosystem will succeed equally.

The chipmaker is selling shovels in a gold rush. The bigger gamble is being taken by everyone spending fortunes on the mines.

And eventually, investors will want to know how much gold has actually been found.