AI Arms Race Hits the Balance Sheet
Tech’s biggest players are pouring billions into AI data centers and compute. Combined CAPEX across the Big Three now exceeds $125 billion, a 3× jump year-over-year.
Inside the spending spree
- Google accelerates Tensor Processing Unit deployment to meet Gemini training loads.
- Microsoft secures multi-year energy deals to offset Azure AI’s surging power draw.
- Meta optimizes its Llama inference stack to reduce costs per query.
Why this matters
- The AI economy has entered its industrial phase, where compute and energy are the new oil.
- Companies that control infrastructure throughput will dominate model deployment economics.
The arms race isn’t about clever prompts anymore—it’s about who owns the silicon, the watts, and the real estate.