Meta is reportedly rethinking internal AI usage as token costs climb into major spending territory. The move from “tokenmaxxing” to token management captures a new operating reality for companies deploying generative AI broadly across staff and products.
The lesson is not that usage should stop, but that it must be measured. Enterprises adopting AI will need policies for routing, caching, model choice, and task design so experimentation does not quietly become an unmanaged infrastructure bill.