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Alphabet Just Gave Nvidia Investors Some Great News

  • Alphabet now expects to lay out $85 billion in capital expenditures this year — up from a previously planned $75 billion — and expects to further accelerate that spending next year.

  • Alphabet’s AI capex will be allocated toward servers, accelerated data center buildouts, and cloud computing infrastructure.

  • Rising AI infrastructure spending from hyperscalers such as Alphabet bodes well for Nvidia and its thriving GPU business.

  • 10 stocks we like better than Nvidia ›

Over the next several weeks, companies will report financial and operating results for the second quarter of 2025. As usual, technology investors will be focused on one thing: artificial intelligence (AI).

“Magnificent Seven” member Alphabet kicked things off earlier this week, reporting robust results across its search, advertising, and cloud computing divisions.

While Alphabet shareholders should be encouraged by the internet giant’s strong performance, I saw Nvidia (NASDAQ: NVDA) as the real winner from the company’s second-quarter performance.

Let’s dig into some of the important moves Alphabet is making and assess how Nvidia is benefiting from them.

During the Q2 earnings call, Alphabet’s management updated some details of its financial guidance. Alphabet now plans to spend around $85 billion on capital expenditures (capex) in 2025. Of note, this is a $10 billion increase over the company’s prior guidance.

And there’s more. “Looking out to 2026, we expect a further increase in capex due to the demand we’re seeing from customers as well as growth opportunities across the company,” said Chief Financial Officer Anat Ashkenazi.

Despite its increasingly aggressive spending on AI infrastructure over the last few years, Alphabet has stated that it doesn’t plan on slowing down anytime soon. This should be music to Nvidia’s ears.

GOOGL Capital Expenditures (TTM) data by YCharts.

Management consulting juggernaut McKinsey & Company is forecasting that AI infrastructure spending could reach $6.7 trillion by 2030. And its research suggests that almost half of that money will be allocated toward AI hardware for further data center construction.

In addition, research from Goldman Sachs and JPMorgan indicates that generative AI could add between $7 trillion and $10 trillion to global gross domestic product in the long run.

From a macroeconomic perspective, these secular trends bode well for Nvidia’s compute and networking empire. Moreover, I think that Alphabet’s decision to bump up its AI infrastructure spending again adds some credibility to those industry forecasts.

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