
The amount of e-waste caused by AI is underestimated: we can’t only include the servers
“IT leaders buying AI infrastructure should treat lifecycle and end-of-life impacts as an architectural and procurement requirement, tracking and reporting not only compute equipment, but also supporting systems, batteries, refrigerants, suppression agents, reuse potential, and responsible recovery or disposal,” he said. Luthra said that the fix for this problem is































