{
  "docId": "019dd923-5ca1-7489-b633-4c87c6fd55cf",
  "docSlug": "01deef2de22e8e5f",
  "documentTitle": "Re-focus your talent lens: Abundance awaits",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 28,
  "pageCount": 41,
  "prevPage": 27,
  "nextPage": 29,
  "slideType": "key_messages",
  "function": "summarize",
  "density": "overcrowded",
  "nDataPoints": 3,
  "notes": "The slide uses a combination of market growth projections and survey data to support the argument for job redesign.",
  "elementsJson": [
    "action_title",
    "paragraph",
    "photo",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b633-4c87c6fd55cf/28",
  "deckHref": "/decks/019dd923-5ca1-7489-b633-4c87c6fd55cf",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b633-4c87c6fd55cf.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b633-4c87c6fd55cf#slide-28",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Our recent research further suggests that generative AI could automate or augment up to 40% of working hours across industries.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-9f5f-711b-af8c-9288428b60f1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.3,
        "x": 0.67,
        "y": 0.19
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a7d25bf2-42b3-4e5c-8c74-9c1a0df5b2b0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Generative AI market size by 2032: $1.3 trillion",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-9f5f-711b-af8c-9429448cec98",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.35,
        "w": 0.27,
        "x": 0.07,
        "y": 0.57
      },
      "kind": "paragraph",
      "text": "Corporate investments in AI are already picking up. The generative AI market alone is expected to grow to $1.3 trillion by 2032.31 Accenture’s 2023 CxO Pulse survey reveals that nine in 10 C-suite executives are already dedicating a sizable or significant share of their total technology investments toward generative AI initiatives.32 These investments will have a profound impact on workers. Consequently, businesses can encourage their highly skilled workers to embrace such technologies early and to innovate by tapping into uniquely human strengths such as creativity, empathy, reasoning and intuition.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1579b126-fce9-4793-b78a-8f03ef17e347",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.35,
        "w": 0.27,
        "x": 0.36,
        "y": 0.38
      },
      "kind": "paragraph",
      "text": "Our recent research further suggests that generative AI could automate or augment up to 40% of working hours across industries.33 This shift will not only enhance productivity but can also inject a sense of agency into the workforce. People can gain freedom to focus on more stimulating, creative and value-adding activities that lead to job satisfaction and personal fulfillment. However, highly skilled workers in creative jobs are skeptical about the impact of generative AI on their future jobs and roles, with 50% not trusting the technology.34",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "796c8f3a-32c6-4692-ae3e-ed42690a36ef",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.27,
        "x": 0.36,
        "y": 0.65
      },
      "kind": "paragraph",
      "text": "Acknowledging these mixed sentiments and engaging the human strengths of today’s highly skilled workforce will enable companies to maximize the talent advantage they already have to redesign jobs for the future—ones that better augment human potential.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d7a2f45b-ed9b-4ea8-92af-fdb8550e87dd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.27,
        "x": 0.07,
        "y": 0.38
      },
      "kind": "paragraph",
      "text": "Companies can redesign jobs, starting with tasks, to take advantage of emerging technologies. AI and automation can dramatically reduce the amount of time employees spend on routine, repetitive tasks. Automating these mundane responsibilities frees up the workforce to spend time on tasks that require their unique skills and ingenuity.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fb312aac-a9b4-4111-86bb-30411e98591c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.2,
        "x": 0.07,
        "y": 0.93
      },
      "kind": "source-note",
      "text": "Re-focus your talent lens: Abundance awaits",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ff565abe-167b-49ed-8fd7-e8f1e0051de7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.55,
        "x": 0.07,
        "y": 0.2
      },
      "kind": "title",
      "text": "Reduce routine tasks to make more room for human ingenuity",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ab383e7d-0c4c-4a09-acb0-dd688ca72a87",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Generative AI market size by 2032",
      "numberRaw": "$1.3 trillion",
      "numberKind": "money",
      "actionTitle": "Reduce routine tasks to make more room for human ingenuity",
      "calloutText": "Our recent research further suggests that generative AI could automate or augment up to 40% of working hours across industries.",
      "numberScale": "t",
      "numberValue": 1.3,
      "metricFamily": "market_size",
      "numberCurrency": "$"
    }
  ],
  "tools": [
    {
      "name": "Deductive Reasoning",
      "slug": "deductive-reasoning",
      "agent": "Architect",
      "layer": "loop",
      "matchId": "019dd95a-0e0a-742d-9e8b-027e12404a7b",
      "evidence": "Loop 5 first page - GenAI premise leads to free-up-humans recommendation",
      "confidence": 55
    },
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0e0a-742d-9e8a-fab4dd2e3989",
      "evidence": "'Reduce routine tasks to make more room for human ingenuity' states recommendation",
      "confidence": 85
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0e0a-742d-9e8a-ff7ba67faac7",
      "evidence": "'$1.3 trillion' and '40% of working hours' anchor the abstract claim",
      "confidence": 80
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 32,
      "from": 16,
      "beatId": "019dd95a-0680-7418-820e-80cba978d0e5",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Three lever sections each with recommendation, data and case study",
      "position": 4,
      "confidence": 92,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 34,
      "from": 15,
      "beatId": "019dd95a-0680-7418-820e-93ce4c953f8b",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": "triple-take-the-action-now-what",
      "evidence": "Three levers, case studies, closing questions",
      "position": 3,
      "confidence": 65,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 32,
      "from": 28,
      "name": "Precedent",
      "slug": "09-precedent",
      "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
      "matchId": "019dd95a-07fe-70ce-8d38-bb669a8e0154",
      "evidence": "Recommendation (p28,31) -> data on creativity = satisfaction (p29-30) -> case study 'Echo' (p32).",
      "position": 5,
      "objective": "Argue Lever 3 (Re-task work) and prove with Accenture's Echo precedent",
      "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
      "confidence": 80,
      "description": "Use historical or external examples to validate your approach"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}