Source: The Register: Biting the hand that feeds
The e-waste calculation for AI infrastructure is being reframed. It covers not just obsolete GPUs but the entire ecosystem of power supplies, cooling systems, and networking equipment that becomes trash when data centers are refreshed or decommissioned. This exposes a gap between how tech companies and analysts have been accounting for AI's environmental footprint. The disposal challenge could be substantially larger than currently factored into sustainability commitments and regulatory planning. The infrastructure-wide view also reveals that the bottleneck isn't chip manufacturing efficiency but the systemic waste generated by rapid AI scaling, which creates economic pressure to swap out perfectly functional hardware as capabilities improve.