Microsoft, Meta, and Alphabet reported Q1 2026 results on April 29 and each lifted full-year capital-spending plans to fund AI infrastructure. Microsoft now expects calendar-2026 capex around $190B, Alphabet raised its range to $180–190B, and Meta moved its band up to $125–145B. Combined with Amazon's previously stated ~$200B target, total 2026 hyperscaler capex sits near $725B — roughly $100B above what Wall Street had modeled at the start of the year.
The market response was sharply split. Alphabet stock rose about 7% after Google Cloud growth beat consensus and management cited 'unprecedented internal and external demand' for AI compute. Meta fell roughly 7% after hours despite a 33% revenue jump and 61% net-income gain, because investors are skeptical that the higher spend will translate into ad-revenue or product wins on Meta's timetable. Microsoft was effectively flat, with Azure up 40% but capex up faster.
The split reaction is a useful signal about where the AI-capex narrative actually stands. Investors are no longer asking whether hyperscalers should be building this much; they are asking whether each individual company can show paying customers attached to the spend. Cloud providers selling compute to outside enterprises (Alphabet, Microsoft, Amazon) clear that bar more easily than companies trying to monetize AI through their own consumer products (Meta).
Takeaway for learners: when you read 'AI capex hit a record', ignore the headline number and ask three questions — who is the buyer of that compute, when does it come online, and what does the company say its return looks like. Capex that lands inside a cloud rental business is a different financial object than capex sitting inside a single company's product roadmap, even when the chips are identical.