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The AI Build-Out's Financial Architecture Is Showing Its First Cracks

The capital intensity of frontier AI development — spanning model training, data centre construction, and semiconductor supply chains — creates concentrated financial risks that propagate through credit markets, equity valuations, and sovereign industrial policy in ways distinct from prior technology cycles.

4 signals tracked

  1. Credit tightens for sub-IG data centres as valuation gap widens at the frontier

  2. Infrastructure debt costs rise as enterprise shifts to cheaper model alternatives

  3. Force majeure, record junk yields, and Goldman's underweight signal the turn

  4. OpenAI shortfalls and bank de-risking expose infrastructure overextension