{
  "docId": "019dd923-5de0-76bd-a167-8c001a8e9ea1",
  "docSlug": "762886f3685037a2",
  "documentTitle": "Gen AI amplified",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 18,
  "pageCount": 21,
  "prevPage": 17,
  "nextPage": 19,
  "slideType": "key_messages",
  "function": "summarize",
  "density": "overcrowded",
  "nDataPoints": 4,
  "notes": "The slide uses survey data to contrast CEO perceptions with broader C-suite views on AI leadership responsibility.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "photo"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-8c001a8e9ea1/18",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-8c001a8e9ea1#slide-18",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "While 28% of CEOs see themselves as responsible for redefining jobs and roles impacted by gen AI, only 5% of their C-suite peers agree.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cf0-d77f187be227",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.531,
        "w": 0.525,
        "x": 0.379,
        "y": 0.355
      },
      "kind": "image",
      "text": "Clinical team in a high-tech medical environment",
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "11ad1a89-1271-4ca8-af78-d786673af6e7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Respondents identifying CNO/CMO as responsible for gen AI: <4%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9cf0-dbfc39677358",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.185,
        "w": 0.337,
        "x": 0.096,
        "y": 0.428
      },
      "kind": "paragraph",
      "text": "Our survey reveals a disconnect in leadership perspectives. While 28% of CEOs see themselves as responsible for redefining jobs and roles impacted by gen AI, only 5% of their C-suite peers agree. Instead, 80% of respondents believe the Chief Digital Officer or Chief Digital and Artificial Intelligence Officer (80%) is best positioned to lead this effort.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "017b5ea2-807a-4b49-8830-188febe74f2d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.255,
        "w": 0.337,
        "x": 0.096,
        "y": 0.631
      },
      "kind": "paragraph",
      "text": "Interestingly, clinical leadership is rarely seen as central to this transformation. Fewer than 4% of respondents identified the Chief Nursing Officer (CNO) or Chief Medical Officer (CMO) as having any responsibility for gen AI. The only exception is among CEOs, who were more likely than other executives to assign gen AI responsibilities to CMOs (7% versus 1%). This perception overlooks a crucial reality: The labor shortage is most acutely felt by the clinical workforce, particularly nurses. Clinical leaders will play a pivotal role in ensuring that gen AI-driven workflows deliver sustainable value and improved efficiency.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0ce53c85-2826-4726-bd40-beb052241ac4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.125,
        "w": 0.525,
        "x": 0.379,
        "y": 0.225
      },
      "kind": "paragraph",
      "text": "In practice, everyone's involved. The true benefits of gen AI come from fundamentally changing how work gets done, which requires collaboration across leadership levels. Clinical leaders, such as CNOs and CMOs, should play a central role in redefining work models, identifying tasks for automation and empowering staff with tools that simplify their jobs. These efforts will help address the pressures faced by frontline teams and ensure that gen AI-driven solutions enhance care delivery.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "185e4b2f-0c8b-4465-a65b-aca9321c9c7b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.185,
        "w": 0.337,
        "x": 0.096,
        "y": 0.225
      },
      "kind": "paragraph",
      "text": "Leaders who understand how work is done are better positioned to set a vision for reinventing roles, reshaping the workforce and preparing teams for a gen AI world. This begins with deconstructing jobs into discrete tasks, determining which should be handled by humans and which can be optimized or automated by technology, and then recombining these tasks to achieve better outcomes.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "68c44143-f1f1-475e-bc08-cd047658d2d8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.028,
        "w": 0.337,
        "x": 0.096,
        "y": 0.158
      },
      "kind": "title",
      "text": "The critical role of clinical leadership",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fb0e5a1c-14d6-4003-a046-2e682c2a5da9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Respondents identifying CNO/CMO as responsible for gen AI",
      "numberRaw": "<4%",
      "numberKind": "percent",
      "actionTitle": null,
      "calloutText": "While 28% of CEOs see themselves as responsible for redefining jobs and roles impacted by gen AI, only 5% of their C-suite peers agree.",
      "numberScale": null,
      "numberValue": 4,
      "metricFamily": "survey_sentiment",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-429397e1ea99",
      "evidence": "'The critical role of clinical leadership' names the insight",
      "confidence": 75
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-44932fb79888",
      "evidence": "28% of CEOs vs 5% of C-suite; only 4% identify CNO/CMO",
      "confidence": 85
    },
    {
      "name": "Contrast Principle",
      "slug": "contrast-principle",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-493aeab47c3b",
      "evidence": "Stark CEO/C-suite disagreement on responsibility",
      "confidence": 80
    },
    {
      "name": "Picture Superiority Effect",
      "slug": "picture-superiority-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-0c44-723b-ae0c-4c7f9302c7af",
      "evidence": "Photo of clinicians around imaging displays anchors the message",
      "confidence": 70
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 18,
      "from": 16,
      "beatId": "019dd95a-0680-7418-820b-5046304f01f4",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Medical-center case study, automation/augmentation analysis, leadership data",
      "position": 4,
      "confidence": 88,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 19,
      "from": 16,
      "beatId": "019dd95a-0680-7418-820b-6216e356b267",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Action (Now What)",
      "beatSlug": "triple-take-the-action-now-what",
      "evidence": "Case study, augmentation tactics, 'time to act is now'",
      "position": 3,
      "confidence": 55,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [
    {
      "to": 18,
      "from": 16,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "019dd95a-07fd-712f-b774-a68d8fb7e2ae",
      "evidence": "Medical-center ecosystem case study, 40% language-task analysis, clinical leadership data points",
      "position": 4,
      "objective": "Zoom from broad framework to concrete proof points and operational realities",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 65,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}