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Serenity (@aleabitoreddit)Serenity@aleabitoredditPost2026-07-31

This post recaps the combined 2026 capex guidance of AMZN, META, GOOGL, and MSFT reaching

This post recaps the combined 2026 capex guidance of AMZN, META, GOOGL, and MSFT reaching $720-745B, up from $695-725B. Despite short-term market deleveraging, the author is bullish on upstream semiconductors and neoclouds in the medium-long term, citing hyperscaler compute shortages and rising cloud demand. They highlight NVDA as a past beneficiary and expect similar rerating in memory, CPUs/MLCCs, CPO, glass substrates, and 800V technology as capex flows in.

As a earnings recap: $AMZN, $META, $GOOGL, and $MSFT guided a 2026 combined capex forecast to ~$720-$745 Billion. Up from $695-$725B Billion previously. Amazon: $220B Google: $195B-$205B Meta: $130B-$145B Microsoft: $175B We've already seen significant deleveraging and retail/institutional margin liquidations (maybe it continues for more time, who knows). But medium-long term, I'm not quite sure how anyone can be bearish the upstream semis or neoclouds. Given each hyperscaler has flagged either compute shortages, rising cloud demand + pricing power, or increased spending for chips/networking. My "bottleneck" thesis with many of these upstream semi supply chains is that when trillions in capital flows into things from InP substrates or memory (which were both treated as cheap commodities) or even energy. Lot of these current AI names that were treated as useless before in telecom cycles or even toilet sellers. Gets rerated when their inflection period hits and capex flows into their balance sheets. As seen with $NVDA GPUs past few years, memory this year, CPUs/MLCCs next few years, CPO in 2027, Glass Substrates in 2027, 800V in 2027, and so on.
Original postX / @aleabitoreddit

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The author uses NVDA as a prime example of a company that has benefited from massive capex flows into AI compute, implying continued strength in its bottleneck position as GPU supplier amid hyperscaler compute shortages.

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