{
  "docId": "019dd923-5de0-76bd-a164-fb2e3cb9d62b",
  "docSlug": "a5051c6bc9ef4ea6",
  "documentTitle": "Future of Work Tripartite Forum: Evidence base on the Future of Work",
  "authorId": "misc",
  "authorName": "The Treasury",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "portrait",
  "aspectRatio": 0.707,
  "pageNumber": 11,
  "pageCount": 14,
  "prevPage": 10,
  "nextPage": 12,
  "slideType": "impact_sizing",
  "function": "quantify_impact",
  "density": "balanced",
  "nDataPoints": 11,
  "notes": "The slide uses a combination of bar charts and callout circles to illustrate the divergence between high-skill and low-skill labor impacts.",
  "elementsJson": [
    "headline_text",
    "bar_chart_horizontal",
    "bar_chart_vertical",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a164-fb2e3cb9d62b/11",
  "deckHref": "/decks/019dd923-5de0-76bd-a164-fb2e3cb9d62b",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a164-fb2e3cb9d62b.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a164-fb2e3cb9d62b#slide-11",
  "components": [
    {
      "bbox": {
        "h": 0.7,
        "w": 0.7,
        "x": 0.05,
        "y": 0.2
      },
      "kind": "chart",
      "text": "Net demand for workers and impact on wages by job category",
      "attrs": null,
      "subkind": "bar-horizontal",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "63e856fb-6f14-4750-98dd-640895896860",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.15,
        "x": 0.8,
        "y": 0.2
      },
      "kind": "chart",
      "text": "Impact on income inequality",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cf3d8c35-836e-4e90-a23f-f9c428dacd24",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Income inequality: +16%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-f955-77d9-be4a-be0139bb156d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.3,
        "x": 0.05,
        "y": 0.93
      },
      "kind": "source-note",
      "text": "1 Step-up scenario for labour demand, with midpoint automation. SOURCE: McKinsey Analysis, McKinsey GTAP model",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b81dfc2f-04f1-423b-a133-34235e2ba3f4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "Automation could increase income inequality because of a divergence in labour demand and wages",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f12b4b4b-50db-4d97-b92f-db2a81a977af",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.4,
        "x": 0.05,
        "y": 0.13
      },
      "kind": "title",
      "text": "Impact of automation by 2030 (mid-point scenario)",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "32c05323-433e-4638-9bcb-0a55d4f0f43e",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 13,
      "from": 10,
      "beatId": "9a6cac3f-d9ad-4487-bc72-64152873888e",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Impact & Next Steps",
      "beatSlug": "consultants-gambit-impact-next-steps",
      "evidence": "The document discusses the potential impacts of automation and policy recommendations",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 12,
      "from": 10,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "161b6cfb-7ad1-4c85-bf6e-3bb4a051705d",
      "evidence": "The document highlights the potential risks of not addressing the impacts of automation",
      "position": 0,
      "objective": "What are the potential costs of inaction in response to automation?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.7,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}