A weak version of AI labor economics sounds like this:
A $100,000 knowledge worker can be replaced by a $2,730 token bill.
That framing works as a shock, but it breaks as an operating model. Production work does not become cheap just because inference is cheap. You still need context, tools, prompts, permissions, retries, evaluation, approvals, security, and someone accountable for the result.
A better framing is this:
Your time now competes with token economics, but the real unit of competition is not the person. It is the repeatable workflow.
