{
  "docId": "019dd923-5ca1-7489-b636-83d9001ae71a",
  "docSlug": "1f4828d675dd67cf",
  "documentTitle": "Insights from the leading edge of generative AI adoption",
  "authorId": "Deloitte",
  "authorName": "Deloitte",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 17,
  "pageCount": 34,
  "prevPage": 16,
  "nextPage": 18,
  "slideType": "data_table",
  "function": "analyze_data",
  "density": "dense",
  "nDataPoints": 20,
  "notes": "The chart uses a 5-point Likert scale for preparedness.",
  "elementsJson": [
    "bar_chart_stacked",
    "callout_box"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b636-83d9001ae71a/17",
  "deckHref": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-83d9001ae71a#slide-17",
  "components": [
    {
      "bbox": {
        "h": 0.06,
        "w": 0.512,
        "x": 0.445,
        "y": 0.118
      },
      "kind": "callout",
      "text": "Respondents claimed the highest levels of preparation in technology and strategy, while feeling far less prepared in risk and talent.",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "278d2823-f00f-4aec-bc96-385468a9a6ce",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.37,
        "w": 0.665,
        "x": 0.068,
        "y": 0.328
      },
      "kind": "chart",
      "text": "Stacked bar chart showing preparedness levels for Technology infrastructure, Strategy, Risk & governance, and Talent.",
      "attrs": null,
      "subkind": "bar-stacked-100pct",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fd5a08ae-e4a4-4c01-8ab2-d4e6422ff7fb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.13,
        "x": 0.792,
        "y": 0.435
      },
      "kind": "legend",
      "text": "Not prepared, Slightly prepared, Moderately prepared, Highly prepared, Very highly prepared",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7c3d5349-b02c-4b54-9de7-674b15327900",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Preparedness level",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-ba8c-7422-8543-11e0db9bd5c1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.6,
        "x": 0.068,
        "y": 0.78
      },
      "kind": "paragraph",
      "text": "Figure 7\nQ: Consider the following areas. For each, rate your organization's level of preparedness with respect to broadly adopting generative AI tools / applications?\n(Oct./Dec. 2023) N (Total) = 2,835",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "dee92849-4b00-47bf-86b0-7277c10a4ca5",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.035,
        "w": 0.335,
        "x": 0.068,
        "y": 0.158
      },
      "kind": "title",
      "text": "Preparedness for generative AI",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e99e4a8f-d663-4155-9fa6-7c81e1f1bbb1",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chartjunk Elimination",
      "slug": "chartjunk-elimination",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "d35f692c-eba8-4f34-9adc-d5373c17ea37",
      "evidence": "chart/bar-stacked-100pct: Stacked bar chart showing preparedness levels for Technology infrastructure, Strategy, Risk & governance, and Talent.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 20,
      "from": 13,
      "beatId": "1a670dc9-17c6-4a45-80e7-2c0b658fed5b",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Data tables, industry trends, and risk register",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 22,
      "from": 11,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "8dd0f86a-2675-4c7a-b842-0728e098e8e2",
      "evidence": "Slides discussing current efforts, societal impacts, and leader concerns",
      "position": 0,
      "objective": "Highlighting the risks of not adopting generative AI",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.6,
      "description": "Quantify what happens if the audience does nothing"
    },
    {
      "to": 20,
      "from": 14,
      "name": "Ladder Abstraction",
      "slug": "28-ladder-abstraction",
      "bestFor": "Training, thought leadership, making complex ideas accessible",
      "matchId": "a8072f27-eff0-49bb-9470-efca58d935fc",
      "evidence": "Slides on off-the-shelf solutions, talent, governance, and risk",
      "position": 1,
      "objective": "Showing the complexity of generative AI adoption",
      "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
      "confidence": 0.6,
      "description": "Move between concrete examples and abstract principles to make ideas stick"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}