Innovation isn’t the same as progress

The debate about AI spend usually starts in the wrong place. Teams compare model prices, argue about benchmarks, and negotiate committed usage. Then the invoice arrives and none of it explains the number.

The expensive part is rarely the intelligence itself. It is the work that surrounds it: duplicated runs, unmonitored automations, prompts nobody owns, and pipelines that quietly retry until something succeeds.