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Recently, Nvidia released its report, and honestly, this number is more important than many think. It’s not just a tech event; it’s the kind of data that moves entire global portfolios.
For context, Wall Street expected quarterly revenue around $65 to $66 billion, which would represent nearly 68% year-over-year growth. Data center numbers were projected close to $60 billion, reflecting sustained demand from giants like Microsoft, Amazon, Google, and Meta. We’re talking about these companies collectively planning to spend between $650 and $660 billion on capex during 2026, much of which goes directly into AI infrastructure.
What’s interesting is that it’s not just Silicon Valley driving this. Countries like the United Arab Emirates and Saudi Arabia are building their own AI clouds, which could add more than $20 billion annually to Nvidia’s revenue. That significantly diversifies the risk of relying solely on U.S. hyperscalers.
Now, the Blackwell architecture was almost sold out until mid-year, but market attention has already shifted to Rubin, the platform they introduced at CES. Gross margins were expected to recover to around 70% after the temporary pressure during Blackwell’s ramp-up. That’s key to assessing whether profitability can be sustained long-term.
China remains the elephant in the room. Current guidelines assume zero sales of H20 chips in the region, so any easing of export restrictions would be a major upward catalyst. For now, those restrictions continue to act as a brake.
What really moves Nvidia’s stock price isn’t past results but projections. The market was looking for confirmation that AI infrastructure spending is in its early stages, especially as uncertainty grows over whether all this capital spending is sustainable. Analysts like those at eToro (, a trading and investment platform with millions of global users ), pointed out that investors want to see Q1 FY2027 revenues close to $75 billion, gross margins back in the 75% range, and more clarity on Rubin’s ramp-up.
If Nvidia meets these expectations, it could reignite all the momentum in AI trading. If it misses, expect volatility that extends far beyond Nvidia itself. It’s one of those moments where a corporate number ends up moving entire markets.