If AI gets cheap enough to leave running, does "monitoring" quietly become the main use case?

Since OpenAI announced significant price cuts on Luna and Terra. Most of the discussion I've seen is about bigger context windows and longer agent runs, but I think the more interesting shift is boring: when the per-run cost drops far enough, you stop asking AI questions and start leaving it running. Right now most people use AI transactionally. You have a question, you ask, you get an answer, you close the tab. That model exists partly because running the same query 50 times a week was hard to justify. Once it costs almost nothing, the natural shape changes to standing jobs, check this every day, flag anything that moved, hand me one summary on Monday. In ecommerce that's already how it plays out. An agent like Accio Work can be set to run a weekly pass across competitor listings, price and stock changes, category news and platform updates, and return it as a single digest instead of you opening 30 tabs. But cheap monitoring creates its own problem. My weekly digest surfaces about 40 changes. Maybe three matter. A competitor dropping price 8% might be a clearance, a supplier switch, or the start of a price war, and the difference determines whether I do nothing or rebuild my margin structure. The agent can tell me it happened. It can't tell me which of those three it is, and being wrong is expensive in a way that missed a news item never was. So, if continuous AI monitoring becomes near-free, what actually changes about how companies work?