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Stocks Cautious as Nvidia (NVDA) Earnings Test Looms

Stocks stay cautious as Nvidia earnings test looms, with chip shares watching Data Center growth, valuation and AI spending signals closely.

Stocks are cautious as Nvidia earnings test looms over what has otherwise been a resilient summer for the AI trade, with chip shares still trying to claw back the ground lost during July's selloff over spending concerns. Nvidia (NVDA) reports second quarter results this week, and the entire semiconductor sector is bracing for the outcome.

Nvidia's own numbers will finally close out a Big Tech earnings season that wrapped up for most rivals nearly a month ago. Wall Street expects adjusted earnings per share of $2.09 on revenue near $92 billion, according to Bloomberg consensus estimates. That would represent a 96 percent jump in revenue from a year earlier and mark another quarter of acceleration on top of already enormous growth.

Why Chip Stocks Are on Edge Ahead of Nvidia's Report

The backdrop matters here. Chipmakers spent much of the past month trying to recover from a steep July drop tied to worries that companies pouring money into AI infrastructure won't see matching returns. Microsoft, Amazon and Google helped calm some of that anxiety by posting strong cloud growth numbers, though Google and Meta rattled investors by signaling even heavier spending ahead. Nvidia's print now becomes the referendum on whether that spending is translating into demand for its chips.

Data Center Growth and the New Reporting Breakdown

Nvidia changed how it reports revenue last quarter, splitting its Data Center segment into Hyperscalers and AI Clouds, Industrial, and Enterprise, a grouping it labels ACIE. Everything tied to PCs, game consoles, workstations, robotics and automotive now falls under a separate Edge Computing category.

Analysts expect Data Center revenue to top $85.4 billion, up 107 percent from a year ago. Within that, Hyperscaler revenue is projected at $43.5 billion, while ACIE sales are expected to reach $41.7 billion.

Nvidia still relies heavily on hyperscalers like Amazon, Google and Microsoft for the bulk of its sales. All three, however, are building their own custom chips or supplying processors to outside customers, a trend that could eventually chip away at Nvidia's pricing power and market share.

Valuation, Momentum and Yield: Reading Nvidia's Setup

Nvidia trades at a premium that reflects its dominant position in AI computing, and the stock's price to earnings ratio remains well above the broader market average, a gap investors have tolerated given the pace of revenue growth. The company pays a modest dividend, a small return relative to its market capitalization, which sits among the largest of any publicly traded company. Momentum readings have cooled somewhat after the July pullback, with the stock working to reclaim its prior highs within its 52 week range rather than pushing to fresh records.

The bull case rests on continued triple digit Data Center growth and Nvidia's expanding web of partnerships. Earlier this month the company said it is working with BlackRock, Blackstone, KKR, Apollo, Brookfield and Goldman Sachs to build a $500 billion pool of capital designed to securitize Nvidia's GPUs. It is also backing SB Energy and OpenAI on an 8 gigawatt data center project in Ohio worth up to $150 billion. The bear case centers on customer concentration and the risk that hyperscalers increasingly build their own silicon, along with any sign that AI capital spending growth is peaking.

What Nvidia's Numbers Will Signal for the AI Trade

Investors will be watching whether Data Center growth holds near triple digits or shows signs of slowing, and whether commentary on hyperscaler capital spending plans reinforces or undercuts the optimism Microsoft, Amazon and Google delivered a month ago. Given Nvidia's size and its role as the clearest proxy for AI infrastructure spending, this report carries weight well beyond one company's earnings sheet.

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