With Alphabet (Google) and Meta releasing their Q1 2026 earnings on April 29, the scale of AI infrastructure capital expenditure from the four major tech companies has become clearer: combined annual spending is expected to exceed $600 billion.
CapEx Overview
| Company | 2026 CapEx Guidance | Change | Key Focus |
|---|---|---|---|
| Amazon | ~$200 billion | Continuing growth | AWS AI computing infrastructure |
| Alphabet | $180-190 billion | Raised (from $175-185B) | Google Cloud, AI training clusters |
| Meta | $125-145 billion | Raised | AI data centers, “superintelligence” |
| Microsoft | $120+ billion | Steady growth | Azure AI, OpenAI partnership |
Alphabet raised its 2026 full-year CapEx guidance from $175-185 billion to $180-190 billion, while clearly stating that 2027 CapEx will “significantly increase.” Meta raised its full-year CapEx guidance to $125-145 billion.
Q1 Key Data
Alphabet Q1 2026: Revenue of $109.9 billion, up 22% YoY, beating estimates of $107.2 billion. Google Cloud revenue reached $20 billion, up 63% YoY, significantly exceeding expectations of $18.05 billion. GOOG rose over 6% after hours.
Meta Q1 2026: DAU of 3.56 billion, slightly below expectations of 3.62 billion. YouTube ad revenue was $9.88 billion, up 10.7% YoY, slightly below estimates of $9.99 billion.
Industry Judgment
The $600 billion annual AI infrastructure investment scale means the tech industry is building its computing power base at “wartime economy” pace. This amount typically only appears in national-level large infrastructure projects or military spending, and is now driven by four companies.