AI's overlooked expense: the data pile-up after every answer

When business leaders tally up AI spending, their mental image usually centers on high-powered chips and the scramble to secure them. Yet the quieter cost sits in what happens after a model finishes replying. Billions of prompts, images, and videos generated each day leave behind a mountain of backend data that has to live somewhere.
Have you ever noticed storage costs creeping up in a project where the focus was all on computing power?



