AI has made software cheap to write and expensive to run. Inference bills grow with usage, GPUs are scarce and priced accordingly, and many teams discovered their unit economics only after the invoice arrived. How companies are getting AI infrastructure costs under control - what actually drives the bill, where the waste hides, and how to run AI at a cost that works.