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Goldman Sachs Research - "AI, Data Centers, and the Coming U.S. Power Demand Surge"
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Relevant to AI governance and compute governance discussions, as energy infrastructure constraints may act as a natural bottleneck on AI scaling; useful for understanding the physical and economic limits of rapid AI capability deployment.
Metadata
Importance: 52/100organizational reportanalysis
Summary
Goldman Sachs Research analyzes how the rapid expansion of AI and data centers is projected to drive a 160% increase in power demand from data centers by 2030. The report examines infrastructure investment requirements, grid capacity constraints, and the energy mix needed to support AI workloads. It highlights significant implications for utilities, energy policy, and the pace of AI deployment.
Key Points
- •Data center power demand is projected to grow 160% by 2030, driven primarily by AI workloads and hyperscaler infrastructure buildout.
- •AI is estimated to consume 10x more energy per query than a traditional Google search, creating unprecedented strain on electrical grids.
- •Meeting this demand requires massive investment in new power generation, transmission infrastructure, and potentially nuclear or gas capacity.
- •Grid constraints and permitting bottlenecks could become a limiting factor for AI deployment timelines in the United States.
- •The surge in power demand has major implications for carbon emissions goals and the feasibility of clean energy transitions alongside AI growth.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Pre-TAI Capital Deployment: $100B-$300B+ Spending Analysis | Analysis | 55.0 |
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Artificial Intelligence
# AI is poised to drive 160% increase in data center power demand
May 14, 2024
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On average, a ChatGPT query needs nearly 10 times as much electricity to process as a Google search. In that difference lies a coming sea change in how the US, Europe, and the world at large will consume power — and how much that will cost.
For years, data centers displayed a remarkably stable appetite for power, even as their workloads mounted. Now, as the pace of efficiency gains in electricity use slows and the [AI revolution](https://www.goldmansachs.com/insights/articles/AI-is-showing-very-positive-signs-of-boosting-gdp) gathers steam, Goldman Sachs Research estimates that data center power demand will grow 160% by 2030.
At present, data centers worldwide consume 1-2% of overall power, but this percentage will likely rise to 3-4% by the end of the decade. In the US and Europe, this increased demand will help drive the kind of electricity growth that hasn’t been seen in a generation. Along the way, the carbon dioxide emissions of data centers may more than double between 2022 and 2030.
## How much power do data centers consume?
In a series of three reports, Goldman Sachs Research analysts lay out the [US](https://www.goldmansachs.com/insights/goldman-sachs-research/generational-growth-ai-data-centers-and-the-coming-us-power-demand-surge), [European](https://www.goldmansachs.com/insights/goldman-sachs-research/electrify-now-powering-up-europe), and [global](https://www.goldmansachs.com/insights/goldman-sachs-research/gs-sustain-generational-growth-ai-data-centers-global-power) implications of this spike in electricity demand. It isn’t that our demand for data has been meager in the recent past. In fact, data center workloads nearly tripled between 2015 and 2019. Through that period, though, data centers’ demand for power remained flattish, at about 200 terawatt-hours per year. In part, this was because data centers kept growing more efficient in how they used the power they drew, according to the Goldman Sachs Research reports, led by Carly Davenport, Alberto Gandolfi, and Brian Singer.
Data Center Power Demand
2030202820262024202220202018201620140 TWh1000 TWh800 TWh600 TWh400 TWh200 TWh1200 TWhUS ex-AIUS ex-AIUS AIUS AIRest of world(ex-AI)Rest of world(ex-AI)Rest of world AIRest of world AIGSEstimateGSEstimateGSEstimateGSEstimate
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But since 2020, the efficiency gains appear to have dwindled, and the power consumed by data centers has risen. Some AI innovations will boost computing speed faster
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