The artificial intelligence revolution consuming global attention runs on a foundation of profound environmental destruction and labor exploitation, according to UN researchers whose findings challenge tech industry sustainability claims.
The production of critical minerals essential to AI data centers—lithium, cobalt, copper, and rare earth elements—extracted primarily from Chile, the Democratic Republic of the Congo, Peru, Bolivia, Argentina, and Zambia, consumed an estimated 456 billion liters of water in 2024 alone—equivalent to the annual domestic water needs of approximately 62 million people in sub-Saharan Africa.
In Chile's Salar de Atacama, mining accounts for up to 65% of regional water use, competing directly with agriculture and fragile desert ecosystems in one of Earth's driest regions. The water depletion occurs as tech companies tout their environmental commitments while expanding AI infrastructure at unprecedented rates.
Rare earth mineral production generates approximately 2,000 metric tons of waste per metric ton of usable material, creating toxic wastewater containing heavy metals, acids, and radioactive residues. Rivers near cobalt and copper mines have become so acidic that communities cannot safely drink from them, and fish stocks have collapsed entirely.
The human cost proves equally devastating. Communities near mining sites report elevated rates of skin diseases, gastrointestinal illness, and reproductive health problems. In the Democratic Republic of the Congo, maternity wards near mining operations report significantly higher rates of birth defects. Chile's Antofagasta region has the highest cancer mortality in the country, with lung cancer rates nearly three times the national average.
Thousands of children work in artisanal cobalt mines in the , often without protective equipment against cobalt dust and other hazardous materials. The exploitation occurs at the supply chain foundation for technologies marketed as solutions to climate change and human advancement.
