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Buy Stock in the Mag 7 Hyperscalers or Are They Spending Too Much? [Yahoo! Finance]
Last amazon.com, inc. earnings: 4/30 04:01 pm
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US:NASDAQ Investor Relations: phx.corporate-ir.net/phoenix.zhtml%3fc%3d97664%26p%3dirol-irhome
This includes Amazon AMZN , Alphabet GOOGL , Meta Platforms META , and Microsoft MSFT , which are building and operating massive global-scale cloud infrastructures that are needed to run AI models and huge data workloads. There is no doubt that “hyperscaling” is the only way to run AI, cloud, and data-intensive services at the ultimate speed and accuracy that is now expected, but investors have started to ponder whether these companies are overspending on questionable and value-destroying projects. Outside of valuation, this has brought about the need to analyze the capital efficiency of the Mag 7 hyperscalers, particularly return on invested capital (ROIC). To that point, ROIC illustrates the ability to return invested capital into profits and is one of the clearest indicators of long-term shareholder value. Notably, the Mag 7 hyperscalers are all expected to exceed $100 billion in annual capital expenditures for AI-related infrastructure by 2026. At the moment, the highest
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