Two teams deployed the same multi-agent workflow last quarter. One costs $0.12 per run. The other costs $1.40. Same model. Same outcome. The only thing that changed was how they spent tokens.
The team running at $1.40 had a working POC, a happy demo, and a board deck full of green checkmarks. Six weeks into production, finance pulled the plug.
The team running at $0.12 is now serving ten times the volume on a smaller infrastructure budget than the original POC.
This is the part of the agentic AI conversation that almost nobody is having out loud.
We talk about model quality, evals, context engineering, orchestration patterns.
We do not talk about the unit economics of a single agent run, even though that number is the only thing that decides whether the system gets to live past the pilot.
Tokenomics is not an optimization concern you handle later. It is the architecture constraint that decides whether your project ever ships, scales, or survives the first real CFO review.
This week’s edit…
