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4 days agoAI-Data-Center Boom: Power Demand Set to Soar by 2030, Says Goldman Sachs
A new report from Goldman Sachs indicates that energy-intensive AI data centres will drive a **160% increase** in power usage by 2030. After nearly a decade of flat global power demand, the surge in AI infrastructure is poised to reshape energy markets. The report highlights major transmission bottlenecks and long lead times for gas-turbine plants, and suggests about 60% of the extra demand must come from new capacity — a mix of natural gas and renewables. The shift has implications not just for tech investment but also for utilities, commodities and regulation worldwide.
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forward-looking
4 days agoAI-Data-Center Boom: Power Demand Set to Soar by 2030, Says Goldman Sachs
A new report from Goldman Sachs indicates that energy-intensive AI data centres will drive a **160% increase** in power usage by 2030. After nearly a decade of flat global power demand, the surge in AI infrastructure is poised to reshape energy markets. The report highlights major transmission bottlenecks and long lead times for gas-turbine plants, and suggests about 60% of the extra demand must come from new capacity — a mix of natural gas and renewables. The shift has implications not just for tech investment but also for utilities, commodities and regulation worldwide.
Explore:Mutual Fund Tools
forward-looking
AI-Data-Center Boom: Power Demand Set to Soar by 2030, Says Goldman Sachs
5 days ago
1 min read
93 words
Goldman Sachs projects AI-data-centre growth will spike global power demand 160% by 2030 — affecting energy, utilities and infrastructure investment.
A new report from Goldman Sachs indicates that energy-intensive AI data centres will drive a **160% increase** in power usage by 2030. After nearly a decade of flat global power demand, the surge in AI infrastructure is poised to reshape energy markets. The report highlights major transmission bottlenecks and long lead times for gas-turbine plants, and suggests about 60% of the extra demand must come from new capacity — a mix of natural gas and renewables. The shift has implications not just for tech investment but also for utilities, commodities and regulation worldwide.
A new report from Goldman Sachs indicates that energy-intensive AI data centres will drive a **160% increase** in power usage by 2030. After nearly a decade of flat global power demand, the surge in AI infrastructure is poised to reshape energy markets. The report highlights major transmission bottlenecks and long lead times for gas-turbine plants, and suggests about 60% of the extra demand must come from new capacity — a mix of natural gas and renewables. The shift has implications not just for tech investment but also for utilities, commodities and regulation worldwide.
Tags:
ai
data centres
ai
data centres
energy
goldman sachs
technology infrastructure
Oct 27, 2025 • 05:54 IST