{
  "docId": "019dd923-5e88-73ef-bd5e-2805f44a3e9d",
  "docSlug": "9391d4ae69e8c315",
  "documentTitle": "2026 04 Investor Presentation",
  "authorId": "Applied-Digital",
  "authorName": "Applied Digital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.647,
  "pageNumber": 15,
  "pageCount": 46,
  "prevPage": 14,
  "nextPage": 16,
  "slideType": "industry_trends",
  "function": "quantify_impact",
  "density": "balanced",
  "nDataPoints": 12,
  "notes": "The chart uses a dual-color scheme to distinguish historical infrastructure projects from AI-related capital expenditures.",
  "elementsJson": [
    "headline_text",
    "bar_chart_vertical",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5e-2805f44a3e9d/15",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5e-2805f44a3e9d",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5e-2805f44a3e9d.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5e-2805f44a3e9d#slide-15",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.9,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "chart",
      "text": "Comparison of historical infrastructure costs vs AI CapEx",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "46824bba-0cbd-48c4-b636-d9e335ae6dc7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.5,
        "x": 0.05,
        "y": 0.92
      },
      "kind": "disclaimer",
      "text": "(9) Manhattan District History, BEA, Planetary Society, Eno Center for Transportation, San Francisco Fed, Hoover archives, Baruch, GoldenGate.org, New York Times, JPMAM, 2025",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "222e48ca-3ea3-447b-bcb2-bdaf05acaadc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.4,
        "y": 0.85
      },
      "kind": "legend",
      "text": "Infrastructure ($B) | AI CapEx ($B)",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7bd63c3b-1562-4042-b969-09b6aee920e9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Inflation-Adjusted Estimated Total ($ Billion): $1,900B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-5bea-70fa-aef1-f829c4e8c333",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.6,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "AI CapEx Is Outpacing a Century of U.S. Infrastructure",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7b2bebd7-e2e2-454c-8de4-f1b8f3bf4cf8",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1c1c-7608-8ed3-da02140835b1",
      "evidence": "'AI CapEx Is Outpacing a Century of U.S. Infrastructure'",
      "confidence": 80
    },
    {
      "name": "Comparison frame",
      "slug": "comparison-frame",
      "agent": null,
      "layer": "slide",
      "matchId": "f800249e-4dbd-4509-80a8-6dbc83941ecc",
      "evidence": "The slide compares historical infrastructure costs with AI CapEx, providing a clear comparison frame.",
      "confidence": 0.8
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1c1c-7608-8ed3-e2f0510c0a2a",
      "evidence": "$1,900B figure quoted explicitly",
      "confidence": 70
    },
    {
      "name": "Metaphor & Analogy",
      "slug": "metaphor-analogy",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1c1c-7608-8ed3-dfa863e00226",
      "evidence": "Compares modern AI capex to a century of US infrastructure spend",
      "confidence": 75
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 16,
      "from": 9,
      "beatId": "019dd95a-07a7-7579-bd67-a8aa3ebf2f39",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Problem & Complication",
      "beatSlug": "consultants-gambit-problem-complication",
      "evidence": "AI demand exploding, GPU power, $700B capex, 45GW US shortage",
      "position": 2,
      "confidence": 82,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    },
    {
      "to": 16,
      "from": 13,
      "beatId": "019dd95a-07a7-7579-bd67-c0dc64ead830",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Why Now",
      "beatSlug": "sequoia-pitch-why-now",
      "evidence": "Construction exploding, $700B capex, 45GW shortage by 2030",
      "position": 3,
      "confidence": 55,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 15,
      "from": 14,
      "beatId": "019dd95a-07a7-7579-bd67-c43dd09e1b6c",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Market Size",
      "beatSlug": "sequoia-pitch-market-size",
      "evidence": "$700B hyperscaler capex, $1.9T outpacing infra",
      "position": 4,
      "confidence": 55,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 16,
      "from": 10,
      "name": "Why Now",
      "slug": "15-why-now",
      "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
      "matchId": "019dd95a-08f8-7619-ac2f-e3ac09fe8fa8",
      "evidence": "Trends (15x electricity, 1M× compute, $700B capex) + trigger event (45GW shortage by 2030) = window of opportunity",
      "position": 1,
      "objective": "Establish urgency: AI compute is exploding while US power supply falls short",
      "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
      "confidence": 80,
      "description": "Create temporal urgency by proving that the window of opportunity is opening or closing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}