{
  "docId": "019dd923-5e88-73ef-bd5d-cdf676789001",
  "docSlug": "1873217bba818632",
  "documentTitle": "2025 Bond Cap Artificial Intelligence AI 2025",
  "authorId": "BondCap",
  "authorName": "BOND",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.333,
  "pageNumber": 174,
  "pageCount": 340,
  "prevPage": 173,
  "nextPage": 175,
  "slideType": "financial_analysis",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 5,
  "notes": "The chart uses a split Y-axis approach to visualize revenue (positive) and compute expense (negative) trends.",
  "elementsJson": [
    "headline_text",
    "line_chart",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-cdf676789001/174",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-cdf676789001#slide-174",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "AI-Related Cost Ramps Relative to Revenue = Can Be Head-Turning",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-4e54-704a-a058-7c9b9dadf9a6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.9,
        "x": 0.05,
        "y": 0.15
      },
      "kind": "chart",
      "text": "OpenAI Revenue & Compute Expense ($B) by Year – 2022-2024, per The Information",
      "attrs": null,
      "subkind": "line",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "695a4b06-9e45-4aa7-891b-bb0327bb6a15",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Compute Expense",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-4e54-704a-a058-8336d8607fc0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.7,
        "x": 0.05,
        "y": 0.92
      },
      "kind": "source-note",
      "text": "Note: No compute expense data available in 2022. Figures are estimates based off public reports & The Information reporting. Source: The Information (4/25 and prior)",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5257a4d5-6345-4beb-8dd2-53ad4ce850f9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.7,
        "x": 0.02,
        "y": 0.02
      },
      "kind": "title",
      "text": "AI Monetization – OpenAI = Revenue vs. Compute Expense, per The Information",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f5fe349c-9b42-4529-9a9d-b9221529d8a1",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 340,
      "from": 31,
      "beatId": "08b5f3f3-e96d-4460-a176-750933765cf7",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Action",
      "beatSlug": "monroes-sequence-action",
      "evidence": "The deck concludes by encouraging action, providing guidance on navigating the AI landscape.",
      "position": 4,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}