Microsoft, Alphabet, Meta, and Amazon all report calendar-Q1 earnings after the close on April 29. The combined 2026 AI capital-expenditure guidance from those four companies is now north of $650 billion — Alphabet at $175-185 billion, Amazon at roughly $200 billion, Meta at $115-135 billion, and Microsoft on pace for record quarterly spending after $37.5 billion in its most recent reported quarter. Investors are no longer debating whether the spending is happening. The question this week is whether revenue from the AI workloads that capex is buying is keeping up.
The single most-watched line will be Azure's constant-currency growth, guided at 37-38% after coming in at 39% last quarter; any deceleration would suggest that AI demand has not yet absorbed the new capacity Microsoft is bringing online. Alphabet faces the inverse question on Google Cloud, which grew 47.8% in Q4 2025 and now sits on a $243 billion contracted backlog — the test is whether that backlog is shipping fast enough to recognize as revenue. Amazon will be asked about AWS's $15 billion AI revenue run rate and whether its Anthropic and Trainium commitments translate into accelerating consumption. Meta has no cloud business to point to, so its AI capex must justify itself through ads-targeting improvements and Reels engagement.
The macro context is that capex of this scale is depressing free cash flow at all four companies even as revenue grows. A multi-year investment cycle in which depreciation runs ahead of incremental AI revenue is the central financial risk to the trade — one that Sequoia, Goldman, and others have flagged repeatedly since late 2025. If any of the four signals a slowdown in commitments or extends asset useful-life assumptions to soften the depreciation hit, expect a quick re-rating across AI infrastructure names. If all four reaffirm or raise capex guidance and post in-line cloud growth, the consolidation thesis behind the Anthropic, Cerebras, and OpenAI mega-deals strengthens further.
For learners: earnings season is one of the best free reads on the AI economy you can get. You do not have to trade the stocks to use it. Open the slide decks for Azure, Google Cloud, and AWS, and look for three numbers — capex, cloud growth, and remaining performance obligations (the contracted backlog). Compare them across quarters. That triangle tells you, more reliably than any pundit, whether AI demand is accelerating, plateauing, or — at some point in the future — disappointing the spending behind it.