{
  "docId": "019dd923-5ca1-7489-b637-1697873ee461",
  "docSlug": "047a4489650f3137",
  "documentTitle": "GenAI wealth asset management",
  "authorId": "EY",
  "authorName": "EY",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 13,
  "pageCount": 26,
  "prevPage": 12,
  "nextPage": 14,
  "slideType": "kpi_dashboard",
  "function": "analyze_data",
  "density": "overcrowded",
  "nDataPoints": 60,
  "notes": "The slide uses stacked bar charts to visualize survey data from 227 respondents.",
  "elementsJson": [
    "headline_text",
    "bar_chart_stacked",
    "bar_chart_stacked",
    "bullet_list",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b637-1697873ee461/13",
  "deckHref": "/decks/019dd923-5ca1-7489-b637-1697873ee461",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b637-1697873ee461.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b637-1697873ee461#slide-13",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "61% of firms cite full automation of GenAI is only 1%-20% viable at their firm in Year 1; 65% believe it is 41%-100% viable in Year 5",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-c23c-719c-9e43-d10799a18f74",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.45,
        "x": 0.05,
        "y": 0.165
      },
      "kind": "chart",
      "text": "How many new use cases have been identified across your firm for Generative AI? (n=227)",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "745d7d38-329b-4aea-b666-9b9db2159b10",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.45,
        "x": 0.52,
        "y": 0.165
      },
      "kind": "chart",
      "text": "How viable is full automation with Generative AI at your firm related to your specific use case(s)? (n=227)",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b91d192f-a006-4fbd-a099-3541079d85aa",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.6,
        "x": 0.05,
        "y": 0.95
      },
      "kind": "disclaimer",
      "text": "(1) Wealth managers include independent B/Ds, wirehouses and RIAs. Source: EY-Parthenon Wealth and Asset Managers Generative AI Survey November 2023 (n=227).",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "90f0bafa-df0f-4c08-98fe-4c21fd8e9519",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.45,
        "x": 0.05,
        "y": 0.78
      },
      "kind": "list",
      "text": "47% of wealth managers and private banks have identified 10+ use cases; 49% of asset managers have identified 10+ use cases; 52% of firms state that one to four GenAI use cases are viable for implementation",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5626ae29-3b5b-4776-acea-86df4d697cb2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.45,
        "x": 0.52,
        "y": 0.78
      },
      "kind": "list",
      "text": "72% of private banks believe full automation is 1%-20% viable in Year 1 vs. 58% of all; 90% of hedge funds believe full automation is 1%-20% viable in Year 1 vs. 64% overall",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f7ef2d17-f2cb-4fe9-bb14-87b45bd05a67",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Use case viability: 52%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-c23c-719c-9e43-d68eb970cdab",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.15,
        "x": 0.05,
        "y": 0.03
      },
      "kind": "title",
      "text": "Survey highlights",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "23204df2-9de9-4ddd-90a2-48ffa3339d8c",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Use case viability",
      "numberRaw": "52%",
      "numberKind": "percent",
      "actionTitle": "52% of respondents have identified <10 novel use cases, and 52% expect <4 to be viable for implementation, with majority viewing significant automation in year 5",
      "calloutText": "61% of firms cite full automation of GenAI is only 1%-20% viable at their firm in Year 1; 65% believe it is 41%-100% viable in Year 5",
      "numberScale": null,
      "numberValue": 52,
      "metricFamily": "other",
      "numberCurrency": null
    }
  ],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 16,
      "from": 9,
      "beatId": "c9855076-947a-4328-8446-c33776866a40",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "The deck provides data-driven insights and survey results",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 14,
      "from": 9,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "6c55f085-9468-49b3-b47b-528cd396e35e",
      "evidence": "The deck presents data on the potential impacts of GenAI on workforce and productivity",
      "position": 0,
      "objective": "Highlighting the consequences of not adopting GenAI",
      "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
}