At the enterprise level though, its going to be hard to want to use a service in which costs are not predictable, and keeping those costs under control requires employee training.
You can put a limit on token spend and provide training (and even pre-configured workflows) on how to limit token spend.
Like the other commenter said: cloud spend can also spin out of control if you don't pay attention, yet we've found ways to keep it under control (training, guardrails, limits, transparancy).
Am I losing my mind, aren't there multiple headlines each day about companies penalizing employees for not using AI enough?
To be fair, the cost of software development has always been fairly unpredictable. What may be different is that the cost used to be roughly proportional to man-hours spent, while now the number of agents running in parallel may be less predictable.
There's no fucking training to mitigate a slot machine.
>...use a service in which costs are not predictable, and keeping those costs under control requires employee training.
Isn't this a (mildly exaggerated) description of AWS, which is a very successful service?