As if the plate wasn’t already full, AI is about to worsen the global e-waste crisis

Rapid AI hardware turnover could add 1.2 million to 5 million metric tons of e-waste by 2030, according to a cited report.

As data centers expand and models get larger, GPUs, servers, and other AI hardware are being replaced more frequently.

The finding shows AI’s environmental footprint goes beyond electricity use to include physical waste and toxic disposal risks.

Lower-income countries that handle much of the world’s discarded electronics could bear a disproportionate burden.