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Amazon, Google Surge with Record Cloud Growth; Meta, Microsoft Face Investor Backlash

Amazon and Google report record cloud growth, with AWS revenue at $37.6B and Google Cloud up 63% to $20B, while Meta and Microsoft face investor skepticism.

Amazon (AMZN), Google (GOOG, GOOGL), Meta (META), and Microsoft (MSFT) reported their earnings on Wednesday, revealing the significant impact of artificial intelligence (AI) on their businesses. Each tech giant highlighted how they are harnessing this transformative technology to boost revenues through new AI features, with Amazon, Google, and Microsoft showcasing stronger growth in their cloud services, while Meta emphasized the role of AI in enhancing its advertising business.

As anticipated, the companies also noted a trend of escalating capital expenditures to expand their AI computing capacities in response to surging demand. Despite robust performances, Wall Street reacted with mixed sentiments toward the quartet’s financial results. Investors favored Amazon and Google’s results, leading to stock gains, while Meta and Microsoft faced declines.

Amazon reported its fastest growth in AWS (Amazon Web Services) in 15 quarters, with revenue reaching $37.6 billion, surpassing Wall Street’s forecast of $36.7 billion. Notably, AWS’s backlog grew by $120 billion quarter over quarter to a total of $364 billion, a figure that does not account for Amazon’s more than $100 billion deal with Anthropic. Additionally, the company’s chip business is now on track for a $20 billion revenue run rate.

Meanwhile, Google also exceeded expectations with its cloud growth, which surged 63% year over year to $20 billion, propelled by increased usage of its Google Cloud Platform for enterprise applications and infrastructure. The company’s cloud backlog doubled during the quarter, surpassing $460 billion. In a strategic shift, Google announced plans to sell its custom Tensor Processing Units (TPUs) to selected clients for installation in their own data centers, moving away from its previous model of renting out capacity from its own facilities. This maneuver is seen as a direct challenge to Nvidia (NVDA), the leading player in AI chip production.

In contrast, Microsoft and Meta faced challenges amid their AI-related initiatives. Microsoft noted a 40% year-over-year increase in revenue from Azure and other cloud services, with a staggering backlog growing 99% year over year to $627 billion; however, much of this backlog is attributed to its partnership with OpenAI. Despite this growth, investors reacted negatively to CEO Satya Nadella‘s comments regarding ongoing supply constraints expected to persist through 2026, leading to a decrease in Microsoft’s stock value.

On the other hand, Meta reported a 19% increase in ad impressions across its app ecosystem, alongside a 12% rise in the price per ad. However, investor focus shifted to the company’s capital expenditures, which overshadowed these positive metrics and contributed to a lackluster stock performance. The market’s reaction suggests that while the metrics surrounding ad revenue growth are promising, the company’s heavy investment in AI infrastructure has raised concerns among analysts.

As the tech landscape continues to evolve, the competition among these giants in the AI domain is likely to intensify. The ongoing investments in AI capabilities reflect a broader recognition of the technology’s potential to redefine business models and drive significant future growth. With the rapid pace of advancements in AI, the focus will remain on how effectively these companies can leverage their investments to capture market share and innovate in their respective sectors.

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Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

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