Artificial intelligence is often described in abstract terms: algorithms, models, and data. Yet behind every AI data center sits a vast physical infrastructure built from mined minerals, manufactured chips, and globally distributed supply chains. As AI data centers expand rapidly, sustainability discussions are shifting from electricity and water toward a deeper question: what material resources make this digital ecosystem possible, and how resilient and responsible are those supply chains?

In the rush to build the next generation of artificial intelligence infrastructure, one resource has quietly slipped into the background: water. While much attention has focused on energy consumption and computing scale, data centers are

The infrastructure backbone of the artificial intelligence revolution is rapidly taking shape across the globe, as AI data centers experience unprecedented growth that's reshaping the landscape.

As we mark International E-Waste Day on October 14, a troubling reality demands our attention: the artificial intelligence revolution is poised to exacerbate the growing eWaste problem.