Stop Showing Your Team AI Costs in Dollars — Show Them in Human-Time

The moment you open up AI chat or an internal AI platform to the whole company via API, token costs become a line item. And that line grows with headcount, and grows again every time someone reaches for a more capable model. A few hundred dollars a month gets waved through as "experimentation." Once you're into the thousands, then tens of thousands, someone upstairs starts asking questions. Team leads and managers will be expected to explain whether the results justified the spend. If I'm being honest, token costs are a rounding error next to salaries... but if you leave things wide open, the bill balloons alarmingly fast, so some kind of brake is needed. The problem is that the obvious brake — showing each person "$xx" next to every request — makes everyone timid. People start using the tool with one eye on the meter, and adoption stalls. So how do you keep a brake on things while still getting people to actually use it? I've been chewing on this recently, and here's where I landed. TL;DR Token counts and dollar costs don't map to outcomes Dollars make it hard to compare cost against results Convert AI cost into human-time units , so it becomes comparable and evaluable Neither token counts nor the actual bill are useful The two standard measures of AI usage are token consumption and dollar-denominated credit burn. Token counts tell you how much the tool is being used, but say nothing about what came out of it. Efficiency per token varies wildly between a cheap model and a frontier one, so at best it's a fuzzy total-volume number. What about the dollar figure? From a team lead's seat, it gives you a rough sense of how much your team leans on AI, and you can probably feel whether the results are worth it. But one or two layers up, that feeling is gone. Nobody can see how performance is scaling against cost — all they see is an add-on line item in the thousands or tens of thousands. Now look at it from the individual's side. If the real cost is hidden, AI feels like t