This week’s earnings paint a fascinating picture: Big Tech is pouring more money into AI infrastructure than ever before — but the market is judging each company very differently.
Microsoft: $190 Billion and Wall Street Loves It
Microsoft reported Q3 results on Tuesday that beat expectations across the board. Azure grew 40%, annualized AI revenue hit $37 billion, and then came the headline number: capital expenditures for 2026 will reach $190 billion — up 61% year over year. Part of that is rising memory prices, but most of it flows into AI data centers.
Investors? Happy. Because Microsoft can show the return: Azure AI is growing, enterprise customers pay for Copilot, and the OpenAI partnership was restructured so Microsoft no longer pays revenue share.
Meta: Same Story, Different Outcome
Meta also delivered strong numbers — and still lost 9% on the stock market. The culprit: capex guidance raised to $125-145 billion. JPMorgan promptly downgraded Meta to ‘Neutral.’
The problem? Meta doesn’t have a cloud business. Microsoft, Google, and Amazon can resell their AI infrastructure to enterprise customers. Meta builds it all for itself — and has to prove the investment pays off through ad revenue and new products alone.
What This Means for Us
The numbers are abstract, but the consequence is concrete: when Big Tech collectively spends over $700 billion in a single year on AI infrastructure, models get better, capacity grows, and prices come down over time. We benefit as users — whether on Claude, ChatGPT, or Gemini.
But it also shows that the market now differentiates. Simply saying ‘we’re spending big on AI’ isn’t enough anymore. You need to show what comes out the other end.
Sources: CNBC - Microsoft Q3 Earnings | CNBC - Meta JPMorgan Downgrade | CNBC - Meta vs Alphabet