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Data centers' global electricity demand could jump 100%+ to ~945TWh by 2030, and data centers are set to account for nearly 50% of US electricity demand growth

Major new IEA report brings groundbreaking data and analysis to one of the most pressing and least understood energy issues today …

IEA

Context & Ripple Effects

This projection extends the IEA’s earlier warning that electricity use across data centers, crypto and AI could more than double within several years. It also sharpens US-specific estimates from Lawrence Berkeley National Laboratory that put data centers at a growing share of national consumption by 2028.

The significance is not merely higher facility load: the IEA assigns data centers nearly half of US demand growth through 2030, while expecting much of the added supply to come from renewables and nuclear. That makes power availability a central constraint on AI infrastructure expansion.

First-order effects

  • Data-center developers and operators must secure substantially more generation and grid capacity alongside sites; electricity access becomes a more immediate determinant of where projects can be built and operated.
  • US power-system planners face a demand-growth profile disproportionately shaped by data centers, with renewables and nuclear carrying much of the projected incremental supply.

Second-order effects

  • Competition for power capacity serving US data centers should intensify among large compute operators and other electricity customers, raising the value of locations with dependable interconnection and generation options.
  • Grid operators and utilities face greater pressure to align transmission, generation and connection timelines with data-center buildouts; the prior warning of grid strain and blackout risk makes that coordination consequential.

Third-order effects

  • If these projections hold, AI infrastructure will increasingly be planned as utility infrastructure: compute expansion will be bounded not only by chips and buildings but by long-lived power-system development.
  • The industry may shift toward a more geographically selective data-center footprint, favoring markets where generation and grid capacity can be developed reliably; the pace of that shift depends on whether projected clean-power and nuclear additions materialize.

The trend: AI-driven data-center growth is turning electricity supply and grid access into strategic inputs for digital infrastructure expansion.

Discussion

  • @fbirol Fatih Birol on x
    @IEA Our analysis of existing and proposed data centres shows that they are getting larger and tend to cluster together, often around cities. This can lead to significant bottlenecks in local grids. Read more 👉 https://www.iea.org/... [image]
  • @fbirol Fatih Birol on x
    @IEA Globally, data centres are set to account for less than 10% of electricity demand growth to 2030 But some regions are more affected. In the United States, they are set to make up nearly half of electricity demand growth, in Japan, more than half - and in Malaysia, up to a fi…
  • @fbirol Fatih Birol on x
    @IEA Meeting electricity demand from data centres will require a diverse range of energy sources. Half of global growth in data centre power demand over the next decade is set to be met by renewables. Natural gas and nuclear are also expected to step up to meet the 24/7 power nee…
  • @fbirol Fatih Birol on x
    🚨 Global electricity demand from data centres powering AI is set to soar in the next decade 🚨 A groundbreaking new @IEA report digs into the data on how energy will shape the future of AI - and how AI can shape the ways the energy sector works More ➡️ https://www.iea.org/... [ima…