AI expansion drives surge in global energy demand and electronic waste

AI data centers energy consumption electronic waste grid infrastructure digital economy

The rapid expansion of artificial intelligence is driving a massive surge in global energy demand and environmental challenges. According to the International Energy Agency, data centers consumed approximately 415 TWh of electricity in 2024, accounting for 1.5% of global consumption, a figure that could more than double by 2030.

This growth presents significant waste management risks. An assessment by the Basel Action Network warns that AI-related infrastructure could generate between 395 million and 617 million metric tons of electronic waste between 2025 and 2050. By 2030, annual e-waste from AI equipment is estimated to reach between 8.6 million and 13.1 million tons. This waste includes not only servers and GPUs but also cooling systems, power distribution, and networking hardware.

Infrastructure and grid stability are also under pressure. In the United States, data center spending reached 0.8% of the GDP in early 2026. In Texas, 32 new natural gas plants planned for data centers are projected to emit over 287 million metric tons of greenhouse gases annually. Experts emphasize the need for improved monitoring, predictive maintenance, and smarter grid management to balance technological innovation with energy efficiency and environmental sustainability.

Entities

Artificial Intelligence · Bahadır Çakır · Basel Action Network · Dell Technologies · International Energy Agency · Itercon · Meta Platforms Inc. · Panduit · Permian Basin · Taiwan Power Company · U.S. Census Bureau · University of Texas at Austin

Claims

What the coverage asserts, and how many sources carry each claim.

[● 2 SOURCES] Data centers consumed approximately 415 TWh of electricity globally in 2024, representing 1.5% of global consumption. www.ehabitat.it · newsweek.ro
[● 4 SOURCES] Global electricity demand from data centers is expected to more than double by 2030, driven largely by AI. www.azocleantech.com · www.ehabitat.it · energy21.com.mx · newsweek.ro
[● 2 SOURCES] A study proposes using produced water from oil production in the Permian Basin to cool AI data centers in West Texas. wwwhatsnew.com · interestingengineering.com
[○ 1 SOURCE] In Texas, 32 new natural gas plants planned specifically for data centers are projected to emit over 287 million metric tons of greenhouse gases annually. www.azocleantech.com
[○ 1 SOURCE] Indirect water use accounted for about 96% of the 21 billion gallons of water Meta consumed in 2024. www.insurancejournal.com
[● 4 SOURCES] By 2030, between 8.6 million and 13.1 million tons of AI-linked equipment could be wasted annually. primermomento.com · www.notiulti.com · www.escambray.cu · www.prensa-latina.cu
[● 4 SOURCES] Data centers could retire between 395 million and 617 million metric tons of AI-associated electronic equipment between 2025 and 2050. primermomento.com · www.notiulti.com · www.escambray.cu · www.prensa-latina.cu
[○ 1 SOURCE] Data center spending was equivalent to 0.8% of the U.S. GDP in the first quarter of 2026. www.merca2.es