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The market thinking we're going to be oversupplied with compute is utterly stupid (Save this).

Milk Road AI Twitter · Milk Road AI (@MilkRoadAI) · 2026-07-03

Milk Road AI disputes the AI compute oversupply narrative by citing Goldman Sachs and Census Bureau data showing only 20.6% of U.S. firms use AI, while Nvidia GPU orders hit $1 trillion through 2027 and data center vacancy sits at 1%.

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Topics: ai-compute-demandgpu-marketai-adoptiondata-center-infrastructureagentic-ai-scaling

Claims

  • Only 20.6% of U.S. firms currently use AI in regular business functions, per Goldman Sachs and Census Bureau data, with even leading sectors barely past one-third adoption.
  • Nvidia GPU orders have grown to $1 trillion through 2027, double a year ago, with lead times stretching to nearly a year and all three HBM suppliers sold out for 2026.
  • Data center vacancy sits at 1% for the second consecutive year, with 92% of capacity under construction already pre-leased.
  • The binding constraint on AI infrastructure is now power, not chips, with grid interconnection queues exceeding five years in most U.S. regions.
  • Agentic AI workloads demand 10 to 100 times more compute than simple chatbot queries, meaning the shift from training to inference multiplies rather than reduces demand.

Key quotes

The market thinking we're going to be oversupplied with compute is utterly stupid (Save this).
The actual bottleneck isn't chips anymore but rather power.
This shift from training to inference isn't reducing demand but rather multiplying it.