Wall Street Thinks Nvidia’s AI Revenue Surge Is Still Being Underestimated

Nvidia heads into earnings this Wednesday with analysts once again racing to raise price targets — a pattern that has increasingly defined the AI market over the past year.

This time, it was Aletheia Capital lifting its Nvidia target from $250 to $270 ahead of earnings, arguing that demand for AI chips remains far stronger than Wall Street expectations currently reflect.

Analyst Stefan Chang reportedly expects Nvidia to beat consensus revenue estimates by as much as $2 billion to $3 billion — another sign that the scale of AI infrastructure spending may still be underestimated across financial markets.

And Aletheia is far from alone. TD Cowen recently raised its own Nvidia target to $275, while Bank of America pushed its forecast even higher to $320, citing accelerating demand tied to AI data centers and enterprise compute infrastructure.

The numbers surrounding Nvidia itself have become staggering. Last week, Nvidia briefly became the first company in history to surpass a $5.5 trillion market capitalization as shares pushed to new all-time highs.

Meanwhile, Nvidia stock has climbed more than 36% since late March, fueled largely by massive AI-related spending commitments from companies like Microsoft, Google, Amazon, and Meta — all competing aggressively for GPU allocation as the AI infrastructure race accelerates globally.

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Nvidia Is No Longer Just a Chip Company

What’s becoming clearer across markets is that Nvidia is increasingly being valued less like a semiconductor company and more like the core infrastructure layer underneath the AI economy itself.

The current AI cycle is no longer being driven purely by consumer hype around chatbots or image generators. It is increasingly being fueled by hyperscalers, sovereign wealth funds, governments, and enterprise buyers racing to secure computational infrastructure — data centers, training clusters, and inference systems powerful enough to support large-scale AI deployment.

According to Nvidia CEO Jensen Huang, the company now sees as much as $1 trillion in AI infrastructure demand building through 2027.

And Nvidia’s Blackwell chip architecture sits at the center of that demand.

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The company generated roughly $215.9 billion in revenue during fiscal 2026, up 65% year-over-year, while its data center division alone produced more than $62 billion in quarterly revenue as Blackwell systems rapidly sold out through much of 2026.

Some analysts now believe Blackwell-related revenue alone could eventually exceed $320 billion annually if AI infrastructure spending continues accelerating.

Earnings May Matter Less Than Guidance

Despite the bullishness, uncertainty still hangs over how sustainable the current AI spending cycle really is.

The wide gap between analyst targets — ranging from roughly $270 to $320 — reflects growing debate around how long hyperscalers, enterprises, and governments can continue spending at this pace before growth eventually normalizes.

That means Nvidia’s earnings report may matter less for its backward-looking numbers and more for what comes next.

Investors will be watching closely for updates around Blackwell deployment timelines, gross margins, GPU supply constraints, China exposure, and enterprise ordering patterns through the second half of 2026.

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Because increasingly, Nvidia’s valuation is being driven less by current earnings — and more by the belief that AI infrastructure demand is still only in its earliest stages.

And right now, Wall Street appears increasingly convinced the spending wave is far from over.