{
  "$schema": "https://peakstate.global/sourced/v1.schema.json",
  "sourced": "1.0",
  "artefact": {
    "path": "src/content/posts/fluency-bottleneck.md",
    "sha256": "9d74f8c1c386daaad4d71f2d8eb4113562ad45073fda3626958c5d387429f946",
    "producedAt": "2026-08-26"
  },
  "claims": [
    {
      "id": "c1",
      "statement": "Any organisation and its competitors can rent access to essentially the same frontier models at essentially the same price.",
      "status": "recalled",
      "locator": {
        "paragraph": 2
      },
      "evidence": [],
      "note": "Market knowledge held from memory. No vendor pricing page was retrieved this session, so this is RECALLED however uncontroversial it looks."
    },
    {
      "id": "c2",
      "statement": "The performance gap between organisations using the same AI models is large and widening.",
      "status": "inferred",
      "locator": {
        "paragraph": 3
      },
      "evidence": [],
      "note": "Andrew's observation from three years inside enterprise AI programs. No measurement is offered and none was retrieved."
    },
    {
      "id": "c3",
      "statement": "Fluency with AI systems decomposes into five parts: calibration, carving the work up, specifying, checking in proportion to stakes, and re-testing stale beliefs.",
      "status": "inferred",
      "locator": {
        "paragraph": 6
      },
      "evidence": [],
      "note": "Andrew's own model, derived from watching operators across government, banking and his engineering work."
    },
    {
      "id": "c4",
      "statement": "Fluency and management or delegation skill travel together.",
      "status": "inferred",
      "locator": {
        "paragraph": 9
      },
      "evidence": [],
      "note": "Stated in the text as a correlation Andrew has noticed, explicitly hedged as not a coincidence rather than as a measured relationship."
    },
    {
      "id": "c5",
      "statement": "Graduates and juniors are often more fluent with AI than the senior leaders making the consequential decisions.",
      "status": "inferred",
      "locator": {
        "paragraph": 14
      },
      "evidence": [],
      "note": "First-person observation across client organisations. Not sampled, not measured."
    },
    {
      "id": "c6",
      "statement": "A leader needs roughly twenty deliberate hands-on hours to build usable calibration.",
      "status": "inferred",
      "locator": {
        "paragraph": 16
      },
      "evidence": [],
      "note": "Andrew's estimate, written as an estimate in the body. No study supports the number and none was sought."
    },
    {
      "id": "c7",
      "statement": "Procurement committees have approved seven-figure AI platforms on weak demos, and blocked low-risk useful work, in rooms Andrew was present in.",
      "status": "inferred",
      "locator": {
        "paragraph": 1
      },
      "evidence": [],
      "note": "First-person testimony, de-identified. A reader cannot check it."
    },
    {
      "id": "c8",
      "statement": "Fluency compounds across model generations and spreads socially within a team.",
      "status": "inferred",
      "locator": {
        "paragraph": 20
      },
      "evidence": [],
      "note": "Andrew's reasoning about how the capability behaves, not a measured effect."
    },
    {
      "id": "c9",
      "statement": "Buying licences and running a tools webinar reliably fails to close an AI skills gap.",
      "status": "inferred",
      "locator": {
        "paragraph": 12
      },
      "evidence": [],
      "note": "Conclusion drawn from the five-part model plus Andrew's programme experience."
    },
    {
      "id": "c10",
      "statement": "Making experienced people fluent is faster than making fluent people experienced.",
      "status": "inferred",
      "locator": {
        "paragraph": 21
      },
      "evidence": [],
      "note": "Andrew's judgement about the labour market he hires in. No hiring data was retrieved."
    }
  ],
  "evidence": [],
  "disclosure": {
    "attribution": "Written by Andrew Ramsden. AI tools assisted research and drafting; all outputs verified.",
    "accountable": "Andrew Ramsden.",
    "limitations": "No external sources.",
    "references": "No external sources. Claim labels are in the [SOURCED sidecar](/sourced/fluency-bottleneck.sourced.json)."
  }
}