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How AI and cloud computing may delay the transition to clean energy
A spike in electricity demand from the world's big data providers is raising a worrying possibility for the world's climate: a near-term surge in fossil-fuel use. Utilities, power regulators and researchers in a half-dozen countries said the surprising growth in power demand driven by the rise of
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How AI and cloud computing may delay the transition to clean energy
Driven by artificial intelligence and cloud computing, the surging demand for electricity from data centers is increasing reliance on fossil fuels like natural gas and coal. This trend is hindering the transition to clean energy as utilities struggle to keep pace with the rapid growth, posing a
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How AI and Cloud Computing May Delay the Transition to Clean Energy
BAKU, Azerbaijan/NEW YORK (Reuters) - A spike in electricity demand from the world's big data providers is raising a worrying possibility for the world's climate: a near-term surge in fossil-fuel use. Utilities, power regulators and researchers in a half-dozen countries told Reuters the surprising
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AI and cloud computing's energy demands could delay clean energy transition
A spike in electricity demand from the world's big data providers is raising a worrying possibility for the world's climate: a near-term surge in fossil-fuel use. Utilities, power regulators and researchers in a half-dozen countries told Reuters the surprising growth in power demand driven by the
[5]
How AI and Cloud Computing Could Stall Global Energy Transition
A spike in electricity demand from the world's big data providers is raising a worrying possibility for the world's climate: a near-term surge in fossil-fuel use. Utilities, power regulators and researchers in a half-dozen countries told Reuters the surprising growth in power demand driven by the
[6]
AI's enormous power demand is threatening U.S. climate goals
Electric utility companies are building more power plants that will burn natural gas to meet demands of a data center construction boom. The explosion of data center development across the United States to serve the artificial intelligence industry is threatening decades of progress cutting
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Energy-hungry Big Tech shrinks from the spotlight at UN climate summit
Big Tech has lowered its profile at the UN COP29 climate summit this year, as industry concerns rise about the sector being targeted as the "new oil and gas" as a result of the power demands of data centres to support artificial intelligence. In contrast to previous UN climate summits in Dubai and
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The rapid growth in electricity demand from data centers, driven by AI and cloud computing, is leading to increased reliance on fossil fuels, potentially delaying the transition to clean energy.

The rapid growth of artificial intelligence (AI) and cloud computing is causing an unexpected surge in electricity demand, leading to increased reliance on fossil fuels and potentially delaying the transition to clean energy
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. This trend is raising concerns among utilities, power regulators, and researchers across multiple countries.In the United States, which hosts a third of the world's data centers, utilities are responding to the growing demand by:
For instance, Dominion, a utility serving Northern Virginia's massive concentration of data centers, is building a 1,000-megawatt gas plant and has reduced its 15-year renewable energy projection from 95% to 80%
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.The trend extends beyond the U.S., with potential impacts in Europe and Asia:
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.The environmental impact of this trend is significant:
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.Tech giants like Meta, Microsoft, and Amazon have made commitments to source renewable energy and achieve net-zero emissions. However, these efforts often involve redirecting existing clean power rather than adding new capacity to the grid
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.Related Stories
The situation presents a challenge for global climate goals:
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.As data centers continue to proliferate, the energy sector faces a critical challenge in balancing the demand for reliable power with the urgent need for decarbonization. The situation underscores the importance of rapid clean energy deployment and innovative solutions to meet the growing energy needs of the digital age.
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