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Nvidia/EarningsBack
[Published: Wednesday January 28 2026]

 Big Tech earnings are quietly setting the stage for Nvidia

 
By Shannon Carroll
 
NEW YORK, 28 January. - (ANA) - Over the next couple of weeks, executives in hoodies and tailored suits will sit under flattering lighting and explain why they’re spending like the future has a delivery deadline. 
 
On Wednesday, Microsoft will talk about Azure and enterprise demand; Meta will talk about ads and ambition. Next week, Amazon and Alphabet will do the same from their own corners of the cloud. The AI boom has a paper trail now: capex ranges, supply constraints, and a growing pile of analyst notes that treat every hyperscaler sentence as a demand signal. And everyone wants to see whether these companies are still talking like they’re racing ahead — committed to building out AI infrastructure at whatever scale the supply chain can tolerate — or whether the words start to soften into “discipline,” “optimization,” and “measured investment.”
 
Each call stands on its own — these companies move markets because they largely are the market — but together they build a live stress test for the AI supply chain. The AI trade has become a chain of inference, one where hyperscaler capex guides the mood, “AI revenue” determines patience, and Nvidia $NVDA +1.42% — reporting last of the Magnificent 7 on Feb. 25 — inherits whatever conviction or doubt Microsoft, Meta, Amazon, and Alphabet leave behind.
 
That’s the weird little parlor trick of this earnings stretch: A chipmaker that isn’t up yet still ends up in the room, because the AI trade has turned into a high-speed game of posture-reading. Raised projections mean the AI build keeps pulling forward; careful phrasing plants AI — and AI bubble — worries weeks before Nvidia CEO Jensen Huang even says a word. Investors price the chip trade off the customers’ appetite, the customers’ confidence, and the customers’ willingness to keep buying the expensive option while they pitch cheaper alternatives.
 
Wall Street doesn’t need anyone to say “Nvidia” for the implication to land. If the language is about accelerators and delivery cadence, the read-through turns immediate. If the language is about power, permitting, and build schedules, the demand stays real, but the timing gets fuzzier.
 
Wall Street wants an answer now on the only question that has reliably moved the AI complex: Is the buildout still expanding — and at what price? Microsoft, Meta, Amazon, and Alphabet are about to provide the closest thing investors get to a preview, and their guidance will become the public scoreboard for AI infrastructure appetite. The quarter’s beats and misses will matter. The phrasing around capex — raised projections or raised doubts — will matter more.   - (ANA) -
 
AB/ANA/28 January 2026 - - -
 
 
 
 
 

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