MSFT, META, AMZN, GOOGL beat estimates

The domain: big tech earnings. The stakes: whether cloud and AI are finally paying off and whether companies can grow without blowing out capex. The gap: revenue and cloud growth look strong — but the cost of building AI infrastructure is rising fast. The news: Microsoft, Alphabet, Amazon and Meta each beat estimates in prints released April 29–30, led by faster cloud and AI monetization while capital spending plans were lifted. Which companies reported today? Microsoft, Alphabet (Google), Amazon and Meta released quarterly numbers after markets closed April 29. All four beat revenue or EPS estimates and used their calls to talk about AI traction and infrastructure needs. How did Microsoft do? Microsoft posted $82.9 billion in revenue and highlighted rapid cloud and AI demand — Azure and other cloud services reaccelerated materially, with the company saying its AI business passed a $37 billion annual run rate. The print beat top-line forecasts but management also flagged heavy infrastructure spending plans tied to AI. (microsoft.com) How did Amazon do? Amazon reported $181.5 billion in net sales for the quarter, up 17% year-over-year. AWS grew about 28% — the fastest pace for Amazon’s cloud in several quarters — and management pointed to strong enterprise AI demand and a pickup in chip and advertising revenue as additional drivers. (ir.aboutamazon.com) How did Alphabet (Google) do? Alphabet posted $109.9 billion in revenue, topping estimates as Google Services and Google Cloud both accelerated. Google Cloud alone crossed roughly $20 billion in revenue and grew north of 60% year-over-year, which is unusually fast for a business of that size and signals strong enterprise AI spending. (abc.xyz) How did Meta do? Meta delivered $56.31 billion in revenue and strong profit metrics for the quarter. The headline surprise was guidance — Meta raised full-year capital spending to a range of $125–145 billion, citing higher component prices and more data center capacity to support AI models. Q1 capex itself was about $19.8 billion. (investor.atmeta.com) Why did markets care about capex? Because cloud and AI scale require lots of servers, memory and power — and those things cost cash now. Investors cheered the top-line beats but sold into the prints when companies signaled materially higher spending plans or multi-year infrastructure commitments. That reaction was clearest at Meta, where the raised capex range knocked shares down. (bloomberg.com) What’s the short-term risk? The catch is execution on returns — these firms are scaling AI infrastructure simultaneously. That pushes up demand for chips and memory, pressures supply chains, and can compress near-term free cash flow even while revenue runs ahead. It’s a timing problem more than a product problem — revenue is coming, but so are large bills. What should investors watch next? Look at capex cadence versus free cash flow in coming quarters, enterprise AI contract renewals and cloud backlog figures, and whether Azure/AWS/Google Cloud growth holds above historical norms as the base gets bigger. Bottom line. Cloud and AI are producing measurable revenue — that’s the upside. The downside is a synchronized, expensive buildout. The market is asking: will the revenue gains outpace the cost of getting the infrastructure in place? The next few quarters will tell.