{
  "docId": "019dd923-5de0-76bd-a164-dec50146165f",
  "docSlug": "bb2d38a5e998eeda",
  "documentTitle": "Digital Economy: Trends, Opportunities and Challenges",
  "authorId": "misc",
  "authorName": "McKinsey",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 15,
  "pageCount": 18,
  "prevPage": 14,
  "nextPage": 16,
  "slideType": "market_landscape",
  "function": "analyze_data",
  "density": "dense",
  "nDataPoints": 500,
  "notes": "The chart uses a scatter plot to demonstrate that automation potential is not strictly correlated with wage levels.",
  "elementsJson": [
    "headline_text",
    "scatter_plot",
    "callout_box",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a164-dec50146165f/15",
  "deckHref": "/decks/019dd923-5de0-76bd-a164-dec50146165f",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a164-dec50146165f.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a164-dec50146165f#slide-15",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "44% of activities ($2.2 trillion in wages) likely automated... but only <5% of whole occupations likely to be fully automated",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-f957-729c-baa9-f58399f00729",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.65,
        "x": 0.05,
        "y": 0.25
      },
      "kind": "chart",
      "text": "Comparison of wages and automation potential for US jobs",
      "attrs": null,
      "subkind": "scatter",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "77a0460c-bc1f-4616-a0bb-5c3416f8d257",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.25,
        "x": 0.72,
        "y": 0.25
      },
      "kind": "list",
      "text": "Over next 10 years: 44% of activities ($2.2 trillion in wages) likely automated... but only <5% of whole occupations likely to be fully automated. At least 30% of activities in 60% of occupations likely automated, redefining most occupations.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cc94028d-3cdf-4b23-84ac-3ca180e9860a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Automation potential: 44%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-f957-729c-baa9-f85517bc55e8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.3,
        "x": 0.05,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "SOURCE: O*Net 2014 database; McKinsey analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d6e03ca8-1564-4853-a719-65c46e95b807",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Automation potential in high-wage, high-skill occupations as well as low-wage, low-skill occupations",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "67bd3c3d-f39c-4628-ba8b-524a7d7e4b1a",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [],
  "loops": [
    {
      "to": 16,
      "from": 14,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "74e62ecb-cc10-4681-98b6-0026f773e382",
      "evidence": "The document discusses the potential costs of inaction in the face of automation and digitization.",
      "position": 1,
      "objective": "Highlight the cost of inaction",
      "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"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}