Source: The Verge
A new report calculates that AI's computational infrastructure generates far more electronic waste than previously estimated, with projections suggesting catastrophic volumes within 25 years. Data center operators—from hyperscalers like Meta and Google to emerging cloud providers—have built expansion plans without meaningful recycling systems or circular supply chains for the semiconductors and cooling equipment they're discarding at accelerating rates. The gap: AI's climate narrative emphasizes efficiency gains in model training, but the physical reality is shorter hardware replacement cycles than traditional IT infrastructure. Every efficiency improvement still requires discarding functional equipment.