{
  "docId": "019dd923-5ca1-7489-b635-3bbbcde8e097",
  "docSlug": "a4d24a7e6c167528",
  "documentTitle": "AI Radar C-Suite Agenda",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.91,
  "pageNumber": 6,
  "pageCount": 18,
  "prevPage": 5,
  "nextPage": 7,
  "slideType": "key_takeaways",
  "function": "summarize",
  "density": "dense",
  "nDataPoints": 3,
  "notes": "The slide uses a bar chart-like visual to emphasize the scale of the challenges.",
  "elementsJson": [
    "headline_text",
    "bar_chart_vertical",
    "big_number"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b635-3bbbcde8e097/6",
  "deckHref": "/decks/019dd923-5ca1-7489-b635-3bbbcde8e097",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b635-3bbbcde8e097.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-3bbbcde8e097#slide-6",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.55,
        "x": 0.4,
        "y": 0.3
      },
      "kind": "chart",
      "text": null,
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6529a837-60f9-4ceb-adc8-4aad93592a39",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.13,
        "x": 0.803,
        "y": 0.07
      },
      "kind": "metric",
      "text": "62%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4e70a43a-4f14-4b75-90e1-9762b57c5bc4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.11,
        "x": 0.409,
        "y": 0.6
      },
      "kind": "metric",
      "text": "6%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8f7d7db9-3920-44ba-ad75-3313e45b90b9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.13,
        "x": 0.598,
        "y": 0.2
      },
      "kind": "metric",
      "text": "46%",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ac728544-96dd-4cff-abc5-219928723182",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "GenAI adoption challenges: 62%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-acba-7384-b6b0-75bfb80e39bd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.15,
        "x": 0.598,
        "y": 0.3
      },
      "kind": "paragraph",
      "text": "of their workforce, on average, will need to undergo upskilling in the next three years due to GenAI",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "33dc28e7-03d8-45b6-81d7-1f2a3a17a2e3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.15,
        "x": 0.803,
        "y": 0.17
      },
      "kind": "paragraph",
      "text": "say their firms are still waiting to see how AI-specific regulations develop",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8dd782ec-fe0f-4054-adab-8909dad887f1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.15,
        "x": 0.409,
        "y": 0.7
      },
      "kind": "paragraph",
      "text": "of companies have managed to train more than 25% of their people on GenAI tools so far",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a98969f6-4d81-4289-b6da-7f3cd5b7f224",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.2,
        "x": 0.05,
        "y": 0.92
      },
      "kind": "source-note",
      "text": "Source: BCG AI Radar (2024); n = 1,406 in 50 markets.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "708dc700-8b80-4a20-acca-e12f82a1184a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.25,
        "x": 0.05,
        "y": 0.3
      },
      "kind": "title",
      "text": "Executives across the board face pressing challenges",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d967cbea-9c08-4a97-94fe-245030f88e1d",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "GenAI adoption challenges",
      "numberRaw": "62%",
      "numberKind": "percent",
      "actionTitle": "Executives across the board face pressing challenges",
      "calloutText": null,
      "numberScale": null,
      "numberValue": 62,
      "metricFamily": "share_penetration",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Loss Aversion",
      "slug": "loss-aversion",
      "agent": "Storyteller",
      "layer": "block",
      "matchId": "019dd95a-121f-71e6-8e90-d64dacb7fa11",
      "evidence": "Stats framed as challenges/gaps to provoke loss framing",
      "confidence": 65
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-121f-71e6-8e90-c59dcc9ec7b2",
      "evidence": "Action title: 'Executives across the board face pressing challenges'",
      "confidence": 92
    },
    {
      "name": "Color Strategy",
      "slug": "color-strategy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-121f-71e6-8e90-d30d84bbd992",
      "evidence": "Bars graded dark to light green to encode severity",
      "confidence": 75
    },
    {
      "name": "List presentation",
      "slug": "list-presentation",
      "agent": null,
      "layer": "slide",
      "matchId": "4d0eab60-db12-49b5-b0bc-3c2ec6044fd8",
      "evidence": "The slide presents information in a list format with specific statistics.",
      "confidence": 0.8
    },
    {
      "name": "Small Multiples",
      "slug": "small-multiples",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-121f-71e6-8e90-ca59acede891",
      "evidence": "Three side-by-side stat columns (6%/46%/62%) for comparison",
      "confidence": 85
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-121f-71e6-8e90-cc592f6d6851",
      "evidence": "Bar heights and font sizes scale with the percentage shown",
      "confidence": 80
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 8,
      "from": 5,
      "beatId": "019dd95a-0701-77fe-ae98-51b50877b47e",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Problem & Complication",
      "beatSlug": "consultants-gambit-problem-complication",
      "evidence": "66% dissatisfied, pressing challenges, 90% observers waiting",
      "position": 2,
      "confidence": 88,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    },
    {
      "to": 8,
      "from": 5,
      "beatId": "019dd95a-0701-77fe-ae98-667c8e6afcab",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Dissatisfaction, gaps, observers — implications of inaction",
      "position": 2,
      "confidence": 70,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    }
  ],
  "loops": [
    {
      "to": 8,
      "from": 5,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "019dd95a-088b-72c8-b7e0-e10e42691d5e",
      "evidence": "Status quo failing (66% dissatisfied) -> costs accumulating (challenges, falling behind) -> tipping point ('That's not an option').",
      "position": 2,
      "objective": "Agitate the cost of waiting on GenAI",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 82,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}