{
  "docId": "019dd923-5de0-76bd-a164-23169247fb38",
  "docSlug": "1ea0011115e97fc2",
  "documentTitle": "Trend 2050 Economics and Business",
  "authorId": "RolandBerger",
  "authorName": "Roland Berger",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 67,
  "pageCount": 91,
  "prevPage": 66,
  "nextPage": 68,
  "slideType": "industry_trends",
  "function": "quantify_impact",
  "density": "dense",
  "nDataPoints": 4,
  "notes": "The slide uses a dual-track projection (With AI vs Without AI) to illustrate the impact of AI on energy demand.",
  "elementsJson": [
    "headline_text",
    "line_chart",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a164-23169247fb38/67",
  "deckHref": "/decks/019dd923-5de0-76bd-a164-23169247fb38",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a164-23169247fb38.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a164-23169247fb38#slide-67",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "estimates suggest that data center power demand will grow 160% by 2030",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-dfa6-7217-91db-ba8c6af186db",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.5,
        "x": 0.15,
        "y": 0.2
      },
      "kind": "chart",
      "text": "Global data center power demand projection [TWh]",
      "attrs": null,
      "subkind": "line",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "64ba3408-234e-43f2-b21c-32945adaed9c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.28,
        "x": 0.7,
        "y": 0.2
      },
      "kind": "list",
      "text": "Even if the reduction of energy consumption in many sectors is necessary to achieve net zero targets, the IEA also recognizes that electricity generation in particular is likely to increase. One area in which a rapid increase in electricity demand is expected is data centers. The push from AI will lead to a notable increase in the need for electricity. A single ChatGPT query requires 2.9 watt-hours of electricity, compared with 0.3 watt-hours for a Google search - nearly 10 times more. For years, data centers displayed a remarkably stable appetite for power, even under increasing workloads. Now, as the speed of efficiency gains in electricity use slows and the AI revolution gathers pace, estimates suggest that data center power demand will grow 160% by 2030. At present, data centers worldwide consume 1-2% of overall power, but this percentage is likely to rise to 3-4% by the end of the decade. In the US and Europe, this increased demand will drive the kind of electricity growth that hasn't been seen in a generation. Along this trajectory, the carbon dioxide emissions of data centers may more than double between 2022 and 2030",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "514ac534-1eb5-47ca-8128-6d264f854036",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "TWh: 160%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-dfa6-7217-91db-bda1ee0a2287",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.2,
        "x": 0.15,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Source: Goldman Sachs; Roland Berger",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6c3549bb-efdd-44a8-9a9f-8649395dac33",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.8,
        "x": 0.15,
        "y": 0.05
      },
      "kind": "title",
      "text": "The rapid growth of AI is set to transform the energy landscape, driven by a significant increase in data center power demand",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4e63dfd8-af71-4ca9-ac50-1c8fec1db3a0",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Aha! Moment",
      "slug": "aha-moment",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "925c2fa6-ce98-4041-9470-dbba90df4c48",
      "evidence": "The slide presents a surprising statistic (160% growth in data center power demand) to grab the audience's attention.",
      "confidence": 0.6
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 80,
      "from": 61,
      "beatId": "682e2e80-8f04-4c08-aacc-ec02c2d4d803",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "Debt Management",
      "beatSlug": null,
      "evidence": "The document provides an overview of the challenges and opportunities related to debt management in various countries.",
      "position": 4,
      "confidence": 0.8,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}