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Nvidia's Earnings Will Decide if AI Is Boom or Bubble
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Nvidia's Earnings Will Decide if AI Is Boom or Bubble

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Nvidia's Q4 results expected to hit $65.6B, but markets now demand proof of acceleration, not just scale. The AI trade faces its biggest stress test yet.

What happens when a company becomes too big to surprise? Nvidia finds out Wednesday when it reports earnings into a market that has already priced in brilliance, already assumed fireworks, and moved on to the next question: Can the chipmaker prove the AI spending spree is accelerating, not just continuing?

The Numbers Look Incredible. The Market Yawns.

The expected results are staggering by any measure. Wall Street consensus calls for $65.6 billion in Q4 revenue (up 67% year-over-year) and earnings per share of $1.52 (up 71%). The data center business alone could hit $58.7 billion.

Yet Nvidia's stock has been trading sideways, down roughly 8% from its October peak. Options traders are betting on a 6% move after earnings, even though the median post-earnings reaction over the past 10 quarters has been just 3.2%. The market has entered what analysts call "the expectations treadmill" — where great quarters get shrugs, and only monster quarters with perfect forward guidance get applause.

The real test isn't this quarter's numbers. It's whether CEO Jensen Huang can convince investors that April revenue will hit the $74-75 billion range that whisper numbers are demanding. That's where the Blackwell chip story lives or dies.

The Customer Leverage Problem

Here's what's changed: Nvidia's biggest customers are building escape hatches. Meta just signed a multi-year deal for "millions" of Nvidia chips, but it's also developing its own AI processors and exploring Google's TPUs. Amazon, Microsoft, and Alphabet are all pursuing custom silicon strategies while simultaneously being Nvidia's biggest customers.

This creates a peculiar dynamic. Hyperscalers will spend an estimated $650 billion on AI infrastructure in 2026, up from $410 billion in 2025. That's the demand story bulls love. But the same customers writing those checks are also investing billions to reduce their Nvidia dependence. It's like buying more of something while simultaneously trying to replace it.

Bridgewater's Greg Jensen calls this the "more dangerous phase" of the AI boom, marked by "exponentially rising investments" and "growing reliance on outside capital." The question isn't whether demand exists — it's whether Nvidia can maintain pricing power as customers gain leverage.

The Supply Chain Reality Check

Nvidia doesn't just sell chips; it orchestrates a complex supply chain where bottlenecks can become profit killers. High-bandwidth memory (HBM) remains a constraint, with SK Hynix and others racing to boost production. When HBM supply loosens, Nvidia's forward guidance gets easier. When it doesn't, quarterly calls start sounding like logistics briefings.

The company's 74.8% gross margin guidance looks healthy, but it assumes continued scarcity. As production scales and competition intensifies, those margins face pressure from both sides — customers demanding better prices and suppliers wanting bigger cuts.

What This Means for Your Portfolio

Nvidia's $4.6 trillion market cap makes it more than a stock — it's a market force. The company carries a 7.8% weight in the S&P 500, meaning its moves drag entire indexes. When Nvidia stumbles, it takes AI-adjacent stocks, cloud providers, and even semiconductor ETFs down with it.

For individual investors, the earnings present a binary outcome disguised as a quarterly report. Either the AI infrastructure buildout has years of runway ahead, justifying current valuations across the sector, or we're approaching peak AI spending, making current prices look silly in hindsight.

The 46 P/E ratio that Zacks calls "reasonable" only works if growth continues at current rates. If it doesn't, that multiple could compress faster than the underlying business deteriorates.

This content is AI-generated based on source articles. While we strive for accuracy, errors may occur. We recommend verifying with the original source.

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