{
  "slug": "gpu-credit-underwriting",
  "url": "/papers/gpu-credit-underwriting/",
  "title": "Underwriting the Machine: A Field Guide to GPU Credit Risk",
  "type": "working-paper",
  "typeLabel": "Working paper · economics strand",
  "lifecycle": "proposal",
  "epistemicStatus": "conceptual-framework",
  "statusLabel": "Analytical framework with illustrative models · not investment advice",
  "programme": "deployment",
  "question": "How should lenders price credit risk on GPU-collateralised debt, and what does that market structure imply for compute dependence?",
  "date": "2026-07-11",
  "version": "v1",
  "authors": [
    "Latent Minds Institute"
  ],
  "methods": [
    "credit risk decomposition",
    "DSCR/LTV sizing models",
    "residual-value analysis",
    "scenario stress"
  ],
  "models": [],
  "evidence": "analytical framework with worked illustrative numbers; no proprietary deal data",
  "code": null,
  "data": null,
  "related": [
    "gpu-forward-market",
    "model-entrenchment"
  ],
  "provenance": null,
  "canonicalUrl": "https://latentmindsinstitute.com/papers/gpu-credit-underwriting/",
  "apiUrl": "https://latentmindsinstitute.com/api/research-objects/gpu-credit-underwriting.json"
}