You Can't Govern the Bill You Can't See

The enterprise AI cost problem people are now waking up to isn't a budgeting miss. It's a governance miss, and it started long before the bill arrived. "Use whatever you want" turns into a massive mess of dysfunction fast, and the dysfunction here is financial: companies deployed against a seat-license mental model and gave themselves no instruments to watch a meter that runs on tokens.

The shift is audible in the practitioner language. One team described going from "tokenmaxxing and 'go fast' to 'we need guardrails, how do we control this?'" That's not a safety conversation. It's unit economics arriving late, after the spend was already moving.

But the part most buyers are missing sits two layers above where they're looking. Google agreed to pay SpaceX $920 million a month for compute through mid-2029, per a company filing. That's a contracted commitment, not necessarily today's cash out the door, so don't read it as current burn. Read it as a floor. The price your cloud vendor charges you is set by capital structure you never see, and it points up, not down.

You're watching the token meter while someone two floors up signs the lease that sets its price.

That's why the governance has to come before the floodgates, not after the surprise. You can cap token spend per workload, instrument consumption by team, and tie it to a concrete before-and-after. "Three days to fifteen minutes" survives a cost review. "We're transforming with AI" gets you a line item nobody can defend.

There's a louder version of this making the rounds, that AI capex is now pushing up consumer prices. Plausible, but the causal chain from compute spend to your grocery bill hasn't been shown carefully, so I'd lean on the filing, not the headline. The filing is the hard number. The rest is still a story.