{
  "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
  "docSlug": "144b47269c1f560e",
  "documentTitle": "2023 Accel Generation AI",
  "authorId": "Accel",
  "authorName": "Accel",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 38,
  "pageCount": 54,
  "prevPage": 37,
  "nextPage": 39,
  "slideType": "industry_trends",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 24,
  "notes": "The chart uses a grouped bar format to show two time periods for each category.",
  "elementsJson": [
    "headline_text",
    "bar_chart_grouped"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/38",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-38",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.9,
        "x": 0.05,
        "y": 0.28
      },
      "kind": "chart",
      "text": "Growth by category - growth (%)",
      "attrs": null,
      "subkind": "bar-grouped",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a0865574-4a2b-47e5-a5b0-87e5056b8447",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.2,
        "x": 0.75,
        "y": 0.3
      },
      "kind": "legend",
      "text": "Last 6 Months, Last 12 Months",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a2f5c1eb-14a8-43ee-b020-70228ab4b552",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Hiring growth (%): 93%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-41aa-7578-83d0-94a6cb21817b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.2,
        "x": 0.38,
        "y": 0.94
      },
      "kind": "source-note",
      "text": "Source: Accel Analysis, LinkedIn",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "15d167eb-6e3e-44cf-ace0-e0103709419f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.05,
        "y": 0.07
      },
      "kind": "title",
      "text": "Gen AI standing out in terms of hiring velocity",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cfdf1abb-6d7b-4e26-b24c-b9499b7517a8",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019de0f3-8f96-73ff-ae43-7ede2121100e",
      "evidence": "Title 'Gen AI standing out in hiring velocity'",
      "confidence": 90
    },
    {
      "name": "Von Restorff Effect",
      "slug": "von-restorff-effect",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de0f3-8fbe-7709-bdd6-0ad4f5c2194b",
      "evidence": "Gen AI bar dwarfs the cluster of categories",
      "confidence": 85
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 42,
      "from": 33,
      "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": null,
      "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
      "position": 2,
      "confidence": 88,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 42,
      "from": 38,
      "name": "Aha Moment",
      "slug": "03-aha-moment",
      "bestFor": "Data-heavy sections, research findings, analytical arguments",
      "matchId": "019de0f3-81f7-71da-867c-e6143f84f876",
      "evidence": "Hiring outlier Gen AI (p38), funding by category (p39), 5-yr median age (p40), leaner (p41), G2 lead (p42).",
      "position": 9,
      "objective": "Reveal that 2023 winners are Gen-AI-led, leaner, customer-obsessed",
      "structure": "The Problem/Question -> What the Data Shows -> The Insight",
      "confidence": 80,
      "description": "Establish a tension, present data, then deliver the insight that changes everything"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}