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AI Companies Should Release Environmental Impact, Commit to Clean Energy, Says UN Chief
The initiative urges firms to disclose water, carbon and land footprints as a UN study says data centers could use more power than five countries by 2030.
- Secretary-General Antonio Guterres launched the Environmental Transparency Initiative on Tuesday, urging major artificial intelligence companies to publicly disclose their environmental impact and commit to powering data centers with renewable energy by 2030.
- Data centers needed to fuel artificial intelligence accounted for about 1.5% of global electricity consumption in 2025, with projections indicating they will consume nearly 3% of the world's electricity by 2030.
- These massive server warehouses could use enough water by 2030 to meet the basic needs of all 1.3 billion residents of Africa for an entire year, The United Nations study found.
- Challenging firms to "come clean" about their footprint, Guterres also called for urgent methane emission reductions, noting that fossil fuels drive both climate crisis and global energy instability.
- While proponents argue artificial intelligence could improve energy efficiency, Guterres warned the world remains "dangerously" off track for 2050 net-zero goals, urging an accelerated transition to renewable energy.
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António Guterres, Secretary General of the United Nations, has launched his recipe Tuesday—in the form of a list of duties for governments and large companies—to push for “a clean energy revolution” and displace fossil fuels. In a long speech in London, during Climate Action Week, the UN Secretary General has recognized that for “the climate agenda” these are “the best and the worst times.” “The worst because climate impacts are intensifying, th…
·Spain
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'By 2030, they could consume more energy than all countries except five, and enough water to meet the basic needs of the 1.3 billion inhabitants of sub-Saharan Africa for a whole year,' warns the Secretary-General of the United Nations.
·Barcelona, Spain
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Total News Sources44
Leaning Left9Leaning Right8Center20Last UpdatedBias Distribution54% Center
Bias Distribution
- 54% of the sources are Center
54% Center
L 24%
C 54%
R 22%
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