📈 Why AI bills rise as costs fall
Exponential View Azeem Azhar
Companies struggle to forecast AI costs despite declining per-token prices because usage patterns remain unpredictable and difficult to model. As organizations implement more AI applications, their total bills increase even when unit costs decrease, similar to Jevons paradox where efficiency gains lead to higher overall consumption. Better forecasting methods and cost management tools will emerge as companies gain experience predicting and controlling their AI spending.
Why it matters
Boo 👻 it's the ghost token
