Barclays Research: AI Could Triple US Data Centre Usage by 2030

New Report Highlights Massive Infrastructure Demands and Environmental Impact

Highlights:

  1. Projected Growth: AI could drive US data centre usage to triple by 2030, from 150-175 terawatt hours (TWh) in 2023 to 560 TWh.
  2. Environmental Concerns: Rapid AI expansion poses challenges to global greenhouse gas emissions targets.
  3. Collaborative Efforts: Policymakers, tech companies, and the energy industry must work together to ensure AI is both socially beneficial and environmentally sustainable.

Summary:

Barclays Research has released a new report estimating that AI could triple US data Centre usage by 2030, significantly increasing energy consumption and posing challenges to achieving global emissions targets.

The report emphasizes the need for collaboration between policymakers, tech companies, and the energy industry to manage the environmental impact of AI growth responsibly.

Laura M
Laura M
Laura is a financial reporter, editor, and researcher with a particular interest in fintech innovation, capital markets, and the evolving global banking landscape.

You May Also Like

Nubank Secures Conditional Approval for U.S. National Bank License

Brazilian fintech aims to expand services in the American market.Highlights: Nubank receives conditional approval for U.S. banking license.The...

Nationwide Strengthens Lead in UK Current Account Switching Table

Nationwide sees continued success in attracting new customers through account switching.Highlights: Nationwide tops the UK current account switching...

Banks Reduce Reliance on OpenAI Amid Regulatory Concerns

Financial institutions shift focus as AI scrutiny increases.Highlights: Banks are decreasing dependency on OpenAI as regulations tighten.Regulatory scrutiny...

Crypto Network Mesh Hits Unicorn Status as Valuation Soars

The rapidly growing crypto network achieves a billion-dollar valuation milestone.Highlights: Crypto network Mesh achieved unicorn status after recent...