Meta, Google, Microsoft beat revenue
- Microsoft, Alphabet, and Meta all posted fresh quarterly revenue beats last week, turning AI from a spending story into a real sales story. - Microsoft said its AI business hit a $37 billion annual run rate, while Google Cloud jumped 63% and topped $20 billion. - The catch is capex — demand looks real, but investors now have to decide how much infrastructure spending is too much.
Big Tech earnings are starting to answer the question everyone has been asking for two years. Is AI actually becoming a business, or is it still just a giant expense line? Last week, Microsoft, Alphabet, and Meta all gave the same broad answer: the revenue is showing up now. But they also reinforced the other half of the story — the bill is still getting bigger. ### What changed this week? The key shift is that all three companies reported strong top-line growth at basically the same time. Microsoft said revenue for the quarter ended March 31, 2026 rose 18% to $82.9 billion. Alphabet said its first-quarter 2026 results were strong enough for Sundar Pichai to earnings materials, indexed on its investor site and transcript services, show the company also reported a strong Q1 2026 print and discussed AI-led demand on the call. ### Why does Microsoft look so strong? Microsoft gave the cleanest “AI is monetizing” number of the group. It said its AI business has now passed a $37 billion annual revenue run rate, up 123% year over year. That matters because it turns a fuzzy narrative into something you can model. Microsoft Cloud to $627 billion — which suggests demand is not just current, but booked out. ### What stood out at Google? Google’s quarter looked like the most obvious proof that AI is feeding the existing machine rather than replacing it. Pichai said Search & Other revenue grew 19%, while Cloud revenue surged 63% and crossed $20 billion for the first time. The really eye-popping number was future cloud and AI spend at a pace that is hard to ignore. ### So where does Meta fit? Meta’s story is a little different. The company is less about selling cloud capacity to outside customers and more about using AI to improve its own ad engine, engagement, and products. Its recent company updates have been full of infrastructure moves — new AI Meta’s earnings through a different lens: can heavier AI spending keep lifting ad performance fast enough to justify it? ### Why are investors still uneasy? Because revenue beats are only half the math. The other half is capital expenditure. AI demand is pushing these companies to spend aggressively on chips, data centers, networking, and power. That can be fine if utilization stays high and pricing holds. But if supply gets ahead of demand, margin whether AI demand exists. They’re arguing about how expensive it will be to serve. ### Is this still mostly cloud? For Microsoft and Google, yes — but not in the old sense. This is cloud as the delivery layer for AI models, inference, agents, and enterprise tooling. Microsoft framed the moment as the “agentic computing era.” Google pointed to AI products and infrastructure driving reason customers are buying more of it. ### What’s the real bottom line? The easy version of the story is that the earnings were good. The more useful version is that AI revenue is finally becoming visible enough to offset some skepticism about the spending spree. But not all of it. These companies just showed that demand is real. The next
