Vivold Consulting

Tech giants report record AI capital expenditures amid infrastructure bottlenecks

Key Insights

Earnings reports reveal that Meta, Google, and Microsoft have tripled their AI infrastructure spending in a single year, driving demand for GPUs, custom chips, and energy contracts as they race to sustain LLM and multimodal growth.

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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.

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