Vivold Consulting
Business & Enterprise

Meta, Google, and Microsoft Triple Down on AI Spending

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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